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Selenio para la prevención del cáncer

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Referencias

References to studies included in this review

Agalliu 2011 {published data only}

Agalliu I, Kirsh VA, Kreiger N, Soskolne CL, Rohan TE. Oxidative balance score and risk of prostate cancer: results from a case‐cohort study. Cancer Epidemiology 2011;35(4):353‐61. CENTRAL

Akbaraly 2005 {published data only}

Akbaraly NT, Arnaud J, Hininger‐Favier I, Gourlet V, Roussel AM, Berr C. Selenium and mortality in the elderly: results from the EVA study. Clinical Chemistry 2005;51(11):2117‐23. CENTRAL

Algotar 2013 {published data only}

Algotar AM, Stratton MS, Ahmann FR, Ranger‐Moore J, Nagle RB, Thompson PA, et al. Phase III clinical trial investigating the effect of selenium supplementation in men at high‐risk for prostate cancer. The Prostate 2013;73(3):328‐35. CENTRAL

Allen 2008 {published data only}

Allen NE. Reply to B Bekaert and MP Rayman. American Journal of Clinical Nutrition 2009;89(4):1277. CENTRAL
Allen NE, Appleby PN, Roddam AW, Tjønneland A, Johnsen NF, Overvad K, et al. Plasma selenium concentration and prostate cancer risk: results from the European Prospective Investigation into Cancer and Nutrition (EPIC). American Journal of Clinical Nutrition 2008;88(6):1567‐75. CENTRAL

Banim 2013 {published data only}

Banim PJR, Luben R, McTaggart A, Welch A, Wareham N, Khaw KT, et al. Dietary antioxidants and the aetiology of pancreatic cancer: a cohort study using data from food diaries and biomarkers. Gut 2013;62(10):1489‐96. CENTRAL
Barrass B, Rochester M, Luben R, Khaw KT, Hart A. Dietary selenium and lower risk of developing renal cancer ‐ a prospective cohort study using food diaries in epic Norfolk. Journal of Urology 2013;189(4):E248. CENTRAL

Bleys 2008 {published data only}

Bleys J, Navas‐Acien A, Guallar E. Serum selenium levels and all‐cause, cancer, and cardiovascular mortality among US adults. Archives of Internal Medicine 2008;168(4):404‐10. CENTRAL

Brooks 2001 {published data only}

Brooks JD, Metter EJ, Chan DW, Sokoll LJ, Landis P, Nelson WG, et al. Plasma selenium level before diagnosis and the risk of prostate cancer development. Journal of Urology 2001;166(6):2034‐8. CENTRAL

Clark 1985 {published data only}

Clark L, Graham G, Bray J. Nonmelanoma skin cancer and plasma selenium: a prospective cohort study. American Journal of Epidemiology 1985;122(3):528. CENTRAL

Coates 1988 {published data only}

Coates RJ. Cancer risk in relation to serum levels of selenium, retinol, and copper. Dissertation Abstract International (Sci)1987; Vol. 47, issue 12:4836. CENTRAL
Coates RJ, Weiss NS, Daling JR, Morris JS, Labbe RF. Serum levels of selenium and retinol and the subsequent risk of cancer. American Journal of Epidemiology 1988;128(3):515‐23. CENTRAL

Combs 1993 {published data only}

Combs GF, Clark LC, Turnbull BW, Graham GF, Smith CL, Sanders B, et al. Low plasma selenium (Se) predicts the 24 month incidence of squamous cell carcinoma of the skin in a cancer prevention trial. FASEB1993; Vol. 7, issue 3:A278. CENTRAL

Comstock 1997 {published data only}

Comstock GW, Alberg AJ, Huang HY, Wu K, Burke AE, Hoffman SC, et al. The risk of developing lung cancer associated with antioxidants in the blood: ascorbic acid, carotenoids, alpha‐tocopherol, selenium, and total peroxyl radical absorbing capacity. Cancer Epidemiology, Biomarkers & Prevention 1997;6(11):907‐16. CENTRAL

Dong 2008 {published data only}

Dong LM, Kristal AR, Peters U, Schenk JM, Sanchez CA, Rabinovitch PS, et al. Dietary supplement use and risk of neoplastic progression in esophageal adenocarcinoma: a prospective study. Nutrition and Cancer 2008;60(1):39‐48. CENTRAL

Dorgan 1998 {published data only}

Dorgan JF, Sowell A, Swanson CA, Potischman N, Miller R, Schussler N, et al. Relationships of serum carotenoids, retinol, alpha‐tocopherol, and selenium with breast cancer risk: results from a prospective study in Columbia, Missouri (United States). Cancer Causes and Control 1998;9(1):89‐97. CENTRAL

Dreno 2007 {published data only}

Dreno B, Euvrard S, Frances C, Moyse D, Nandeuil A. Effect of selenium intake on the prevention of cutaneous epithelial lesions in organ transplant recipients. European Journal of Dermatology 2007;17(2):140‐5. CENTRAL

Epplein 2009 {published data only}

Epplein M, Franke AA, Cooney RV, Morris JS, Wilkens LR, Goodman MT, et al. Association of plasma micronutrient levels and urinary isoprostane with risk of lung cancer: the multiethnic cohort study. Cancer Epidemiology, Biomarkers & Prevention 2009;18(7):1962‐70. CENTRAL
Gill JK, Franke AA, Steven MJ, Cooney RV, Wilkens LR, Le Marchand L, et al. Association of selenium, tocopherols, carotenoids, retinol, and 15‐isoprostane F(2t) in serum or urine with prostate cancer risk: the multiethnic cohort. Cancer Causes Control 2009;20(7):1161‐71. CENTRAL
Kolonel LN, 5P01CA033619‐20. Epidemiologic studies of diet and cancer in Hawaii. http://cancercontrol.cancer.gov/grants/abstract.asp?ApplID=6805844 (accessed 6 April 2011). CENTRAL

Fex 1987 {published data only}

Fex G, Pettersson B, Akesson B. Low plasma selenium as a risk factor for cancer death in middle‐aged men. Nutrition and Cancer 1987;10(4):221‐9. CENTRAL

Fujishima 2011 {published data only}

Fujishima Y, Ohsawa M, Itai K, Kato K, Tanno K, Turin TC, et al. Serum selenium levels are inversely associated with death risk among hemodialysis patients. Nephrology, Dialysis, Transplantation 2011;26(10):3331‐8. CENTRAL

Garland 1995 {published data only}

Garland M, Morris JS, Stampfer MJ, Colditz GA, Spate VL, Baskett CK, et al. Prospective study of toenail selenium levels and cancer among women. Journal of the National Cancer Institute 1995;87(7):497‐505. CENTRAL
Hunter DJ, Morris JS, Stampfer MJ, Colditz GA, Speizer FE, Willett WC. A prospective study of selenium status and breast cancer risk. JAMA 1990;264(9):1128‐31. CENTRAL

Glattre 1989 {published data only}

Glattre E, Thomassen Y, Thoresen SO, Haldorsen T, Lund‐Larsen PG, Theodorsen L, et al. Prediagnostic serum selenium in a case‐control study of thyroid cancer. International Journal of Epidemiology 1989;18(1):45‐9. CENTRAL

Goodman 2001 {published data only}

Goodman GE, Schaffer S, Bankson DD, Hughes MP, Omenn GS, The Carotene and Retinol Efficacy Trial (CARET) Co‐Investigators. Predictors of serum selenium in cigarette smokers and the lack of association with lung and prostate cancer risk. Cancer Epidemiology, Biomarkers & Prevention 2001;10(10):1069‐76. CENTRAL
Omenn GS, Goodman G, Thornquist M, Grizzle J, Rosenstock L, Barnhart S, et al. The beta‐carotene and retinol efficacy trial (CARET) for chemoprevention of lung cancer in high risk populations: smokers and asbestos‐exposed workers. Cancer Research 1994;54(7 Suppl):2038s‐43s. [PUBMED: 8137335]CENTRAL

Goyal 2013 {published data only}

Goyal A, Terry MB, Siegel AB. Serum antioxidant nutrients, vitamin A, and mortality in US adults. Cancer Epidemiology, Biomarkers & Prevention 2013;22(12):2202‐11. [PUBMED: 23897583]CENTRAL

Graff 2017 {published data only}

Graff RE, Judson G, Ahearn TU, Fiorentino M, Loda M, Giovannucci EL, et al. Circulating antioxidant levels and risk of prostate cancer by TMPRSS2:ERG. The Prostate 2017;77(6):647‐53. [PUBMED: 28102015]CENTRAL

Grundmark 2011 {published data only}

Grundmark B, Zethelius B, Garmo H, Holmberg L. Serum levels of selenium and smoking habits at age 50 influence long term prostate cancer risk; a 34 year ULSAM follow‐up. BMC Cancer 2011;11:431. [EPI_EU_Grundmark 2011]CENTRAL

Han 2013 {published data only}

Han X, Li J, Brasky TM, Xun P, Stevens J, White E, et al. Antioxidant intake and pancreatic cancer risk: the Vitamins and Lifestyle (VITAL) study. Cancer 2013;119(7):1314‐20. [PUBMED: 23280534]CENTRAL

Hansen 2013 {published data only}

Hansen RD, Albieri V, Tjonneland A, Overvad K, Andersen KK, Raaschou‐Nielsen O. Effects of smoking and antioxidant micronutrients on risk of colorectal cancer. Clinical Gastroenterology and Hepatology 2013;11(4):406‐15.e3. [PUBMED: 23142208]CENTRAL
Tjonneland A, Olsen A, Boll K, Stripp C, Christensen J, Engholm G, et al. Study design, exposure variables, and socioeconomic determinants of participation in diet, cancer and health: a population‐based prospective cohort study of 57,053 men and women in Denmark. Scandinavian Journal of Public Health 2007;35(4):432‐41. [PUBMED: 17786808]CENTRAL

Hartman 1998 {published data only}

Hartman TJ, Albanes D, Pietinen P, Hartman AM, Rautalahti M, Tangrea JA, et al. The association between baseline vitamin E, selenium, and prostate cancer in the alpha‐tocopherol, beta‐carotene cancer prevention study. Cancer Epidemiology, Biomarkers & Prevention 1998;7(4):335‐40. CENTRAL

Hashemian 2015 {published data only}

Hashemian M, Poustchi H, Abnet CC, Boffetta P, Dawsey SM, Brennan PJ, et al. Dietary intake of minerals and risk of esophageal squamous cell carcinoma: results from the Golestan Cohort Study. American Journal of Clinical Nutrition 2015;102(1):102‐8. [PUBMED: 26016858]CENTRAL
Pourshams A, Khademi H, Malekshah AF, Islami F, Nouraei M, Sadjadi AR, et al. Cohort Profile: The Golestan Cohort Study ‐ a prospective study of oesophageal cancer in Northern Iran. International Journal of Epidemiology 2010;39(1):52‐9. [PUBMED: 19332502]CENTRAL

Helzlsouer 2000 {published data only}

Helzlsouer KJ, Huang HY, Alberg AJ, Hoffman S, Burke A, Norkus EP, et al. Association between alpha‐tocopherol, gamma‐tocopherol, selenium, and subsequent prostate cancer. Journal of the National Cancer Institute 2000;92(24):2018‐23. CENTRAL

Hotaling 2011 {published data only}

Hotaling JM, Wright JL, Pocobelli G, Bhatti P, Porter MP, White E. Long‐term use of supplemental vitamins and minerals does not reduce the risk of urothelial cell carcinoma of the bladder in the VITamins And Lifestyle study. The Journal of Urology 2011;185(4):1210‐5. CENTRAL

Hughes 2015 {published data only}

Hughes DJ, Fedirko V, Jenab M, Schomburg L, Meplan C, Freisling H, et al. Selenium status is associated with colorectal cancer risk in the European prospective investigation of cancer and nutrition cohort. International Journal of Cancer 2015;136(5):1149‐61. [PUBMED: 25042282]CENTRAL

Hughes 2016 {published data only}

Hughes DJ, Duarte‐Salles T, Hybsier S, Trichopoulou A, Stepien M, Aleksandrova K, et al. Prediagnostic selenium status and hepatobiliary cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort. American Journal of Clinical Nutrition 2016;104(2):406‐14. [PUBMED: 27357089]CENTRAL

Kabuto 1994 {published data only}

Kabuto M, Imai H, Yonezawa C, Neriishi K, Akiba S, Kato H, et al. Prediagnostic serum selenium and zinc levels and subsequent risk of lung and stomach cancer in Japan. Cancer Epidemiology, Biomarkers & Prevention 1994;3(6):465‐9. CENTRAL

Karagas 1997 {published data only}

Karagas MR, Greenberg ER, Nierenberg D, Stukel TA, Morris JS, Stevens MM, et al. Risk of squamous cell carcinoma of the skin in relation to plasma selenium, alpha‐tocopherol, beta‐carotene, and retinol: a nested case‐control study. Cancer Epidemiology, Biomarkers & Prevention 1997;6(1):25‐9. CENTRAL

Karp 2013 {published data only}

Karp DD, Lee SJ, Keller SM, Wright GS, Aisner S, Belinsky SA, et al. Randomized, double‐blind, placebo‐controlled, phase III chemoprevention trial of selenium supplementation in patients with resected stage I non‐small‐cell lung cancer: ECOG 5597. Journal of Clinical Oncology 2013;31(33):4179‐87. [PUBMED: 24002495]CENTRAL
Pillai RN, Lee SJ, Karp DD, Aisner SC, Ruckdeschel JC, Ramalingam SS, Khuri FR. Second primary lung cancers: analysis of E5597 selenium chemoprevention study. Journal of Clinical Oncology 2014;32(15):7518. CENTRAL

Knekt 1990 {published data only}

Hakama M, Aaran RK, Alfthan G, Aromaa A, Hakulinen T, Knekt P, et al. Linkage of serum sample bank and cancer registry in epidemiological studies. Progress in Clinical and Biological Research, v. 346. New York: Wiley‐Liss, 1990:169‐78. CENTRAL
Knekt P, Aromaa A, Alfthan G, Maatela J, Hakama M, Hakulinen T, et al. Re: Prospective study of serum micronutrients and ovarian cancer. Journal of the National Cancer Institute 1996;88(19):1408. CENTRAL
Knekt P, Aromaa A, Maatela J, Alfthan G, Aaran RK, Hakama M, et al. Serum selenium and subsequent risk of cancer among Finnish men and women. Journal of the National Cancer Institute 1990;82(10):864‐8. CENTRAL
Knekt P, Aromaa A, Maatela J, Alfthan G, Aaran RK, Teppo L, et al. Serum vitamin E, serum selenium and the risk of gastrointestinal cancer. International Journal of Cancer 1988;42(6):846‐50. CENTRAL
Knekt P, Jarvinen R, Seppanen R, Rissanen A, Aromaa A, Heinonen OP, et al. Dietary antioxidants and the risk of lung cancer. American Journal of Epidemiology 1991;134(5):471‐9. CENTRAL

Knekt 1998 {published data only}

Knekt P, Marniemi J, Teppo L, Heliovaara M, Aromaa A. Is low selenium status a risk factor for lung cancer?. American Journal of Epidemiology 1998;148(10):975‐82. CENTRAL

Kok 1987a {published data only}

Kok FJ, De Bruijn AM, Hofman A, Valkenburg HA. Selenium status and chronic disease mortality: Dutch epidemiological findings. International Journal of Epidemiology 1987a;16(2):329‐32. CENTRAL
Kok FJ, De Bruijn AM, Hofman A, Vermeeren R, Valkenburg HA. Is serum selenium a risk factor for cancer in men only?. American Journal of Epidemiology 1987b;125(1):12‐6. CENTRAL

Kornitzer 2004 {published data only}

Kornitzer M, Valente F, De Bacquer D, Neve J, De Backer G. Serum selenium and cancer mortality: a nested case‐control study within an age‐ and sex‐stratified sample of the Belgian adult population. European Journal of Clinical Nutrition 2004;58(1):98‐104. CENTRAL

Kristal 2014 {published data only}

Kristal AR, Darke AK, Morris JS, Tangen CM, Goodman PJ, Thompson IM, et al. Baseline selenium status and effects of selenium and vitamin E supplementation on prostate cancer risk. Journal of the National Cancer Institute 2014;106(3):djt456. [PUBMED: 24563519]CENTRAL

Kromhout 1987 {published data only}

Kromhout D. Essential micronutrients in relation to carcinogenesis. American Journal of Clinical Nutrition 1987;45(5 Suppl):1361‐7. CENTRAL

Li 2000 {published data only}

Li W, Zhu Y, Yan X, Zhang Q, Li X, Ni Z, et al. The prevention of primary liver cancer by selenium in high risk populations. Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine] 2000;34(6):336‐8. [Li 2000]CENTRAL

Li 2004a {published data only}

Li H, Kantoff PW, Giovannucci E, Leitzmann MF, Gaziano JM, Stampfer MJ, et al. Manganese superoxide dismutase polymorphism, prediagnostic antioxidant status, and risk of clinical significant prostate cancer. Cancer Research 2005a;65(6):2498‐504. CENTRAL
Li H, Stampfer MJ, Giovannucci EL, Morris JS, Willett WC, Gaziano JM, et al. A prospective study of plasma selenium levels and prostate cancer risk. Journal of the National Cancer Institute 2004;96(9):696‐703. CENTRAL
Li H, Stampfer MJ, Giovannucci EL, Morris JS, Willett WC, Gaziano JM, et al. Plasma selenium levels associated with subsequent risk of prostate cancer. American Journal of Urology Review 2005b;3(1):28‐34. CENTRAL

Lubinski 2011 {published data only}

Lubinski J, Jaworska K, Durda K, Jakubowska A, Huzarski T, Byrski T, et al. Selenium and the risk of cancer in BRCA1 carriers. Hereditary Cancer in Clinical Practice 2011;9(Suppl 2):A5. CENTRAL

Ma 2017 {published data only}

Ma X, Yang Y, Li HL, Zheng W, Gao J, Zhang W, et al. Dietary trace element intake and liver cancer risk: results from two population‐based cohorts in China. International Journal of Cancer 2017;140(5):1050‐9. [PUBMED: 27859272]CENTRAL

Marshall 2011 {published data only}

Marshall JR, Tangen CM, Sakr WA, Wood DP, Berry DL, Klein EA, et al. Phase III trial of selenium to prevent prostate cancer in men with high‐grade prostatic intraepithelial neoplasia: SWOG S9917. Cancer Prevention Research 2011;4:1761‐9. CENTRAL

McNaughton 2005 {published data only}

Heinen MM, Hughes MC, Ibiebele TI, Marks GC, Green AC, van der Pols JC. Intake of antioxidant nutrients and the risk of skin cancer. European Journal of Cancer 2007;43(18):2707‐16. CENTRAL
McNaughton SA, Marks GC, Gaffney P, Williams G, Green AC. Antioxidants and basal cell carcinoma of the skin: a nested case‐control study. Cancer Causes and Control 2005;16(5):609‐18. CENTRAL
van der Pols JC, Heinen MM, Hughes MC, Ibiebele TI, Marks GC, Green AC. Serum antioxidants and skin cancer risk: an 8‐year community‐based follow‐up study. Cancer Epidemiology, Biomarkers & Prevention 2009;18(4):1167‐73. CENTRAL

Menkes 1986 {published data only}

Batieha AM, Armenian HK, Norkus EP, Morris JS, Spate VE, Comstock GW. Serum micronutrients and the subsequent risk of cervical cancer in a population‐based nested case‐control study. Cancer Epidemiology, Biomarkers & Prevention 1993;2(4):335‐9. CENTRAL
Breslow RA, Alberg AJ, Helzlsouer KJ, Bush TL, Norkus EP, Morris JS, et al. Serological precursors of cancer: malignant melanoma, basal and squamous cell skin cancer, and prediagnostic levels of retinol, beta‐carotene, lycopene, alpha‐tocopherol, and selenium. Cancer Epidemiology, Biomarkers & Prevention 1995;4(8):837‐42. CENTRAL
Burney PG, Comstock GW, Morris JS. Serologic precursors of cancer: serum micronutrients and the subsequent risk of pancreatic cancer. American Journal of Clinical Nutrition 1989;49(5):895‐900. CENTRAL
Helzlsouer KJ, Alberg AJ, Norkus EP, Morris JS, Hoffman SC, Comstock GW. Prospective study of serum micronutrients and ovarian cancer. Journal of the National Cancer Institute 1996;88(1):32‐7. CENTRAL
Helzlsouer KJ, Comstock GW, Morris JS. Selenium, lycopene, alpha‐tocopherol, beta‐carotene, retinol, and subsequent bladder cancer. Cancer Research 1989;49(21):6144‐8. CENTRAL
Ko W. The Associations of Serologic Precursors and the Anatomic‐Site Specific Incidence of Colon Cancer. Baltimore, MD: John Hopkins University, 1994. CENTRAL
Menkes MJ. Vitamins A, E, selenium and risk of lung cancer. Dissertation Abstract International (Sci)1986a; Vol. 46, issue 11:3807. CENTRAL
Menkes MS, Comstock GW, Vuilleumier JP, Helsing KJ, Rider AA, Brookmeyer R. Serum beta‐carotene, vitamins A and E, selenium, and the risk of lung cancer. New England Journal of Medicine 1986b;315(20):1250‐4. CENTRAL
Schober SE. Vitamin A, vitamin E, selenium, and colon cancer risk. Dissertation Abstract International (Sci)1986; Vol. 46, issue 11:3808. CENTRAL
Schober SE, Comstock GW, Helsing KJ, Salkeld RM, Morris JS, Rider AA, Brookmeyer R. Serologic precursors of cancer. I. Prediagnostic serum nutrients and colon cancer risk. American Journal of Epidemiology 1987;126(6):1033‐41. CENTRAL
Zheng W, Blot WJ, Diamond EL, Norkus EP, Spate V, Morris JS, et al. Serum micronutrients and the subsequent risk of oral and pharyngeal cancer. Cancer Research 1993;53(4):795‐8. CENTRAL

Michaud 2002 {published data only}

Michaud DS, Hartman TJ, Taylor PR, Pietinen P, Alfthan G, Virtamo J, et al. No association between toenail selenium levels and bladder cancer risk. Cancer Epidemiology, Biomarkers & Prevention 2002;11(11):1505‐6. CENTRAL

Michaud 2005 {published data only}

Michaud DS, De Vivo I, Morris JS, Giovannucci E. Toenail selenium concentrations and bladder cancer risk in women and men. British Journal of Cancer 2005;93(7):804‐6. CENTRAL

Muka 2017 {published data only}

Muka T, Kraja B, Ruiter R, Lahousse L, de Keyser CE, Hofman A, et al. Dietary mineral intake and lung cancer risk: the Rotterdam Study. European Journal of Nutrition 2017;56(4):1637‐46. [PUBMED: 27073037]CENTRAL

Nomura 1987 {published data only}

Nomura A, Heilbrun LK, Morris JS, Stemmermann GN. Serum selenium and the risk of cancer, by specific sites: case‐control analysis of prospective data. Journal of the National Cancer Institute 1987;79(1):103‐8. CENTRAL

Nomura 2000 {published data only}

Nomura AMY, Lee J, Stemmermann GN, Combs GF. Serum selenium and subsequent risk of prostate cancer. Cancer Epidemiology, Biomarkers & Prevention 2000;9(9):883‐7. CENTRAL

NPCT 2002 {published data only}

Clark L, Krongrad A, Dalkin B, Witherington R, Herlong H, Carpenter D. Decreased incidence of prostate cancer with selenium supplementation: 1983‐96 results of a double‐blind cancer prevention trial. European Journal of Cancer Prevention1997; Vol. 6, issue 5:497‐8. CENTRAL
Clark LC, Combs GF, Turnbull BW, Slate EH, Chalker DK, Chow J, et al. Effects of selenium supplementation for cancer prevention in patients with carcinoma of the skin: a randomized controlled trial. JAMA 1996;276(24):1957‐63. CENTRAL
Clark LC, Dalkin B, Krongrad A, Combs GF, Turnbull BW, Slate EH, et al. Decreased incidence of prostate cancer with selenium supplementation: results of a double‐blind cancer prevention trial. British Journal of Urology 1998;81(5):730‐4. CENTRAL
Clark LC, UARIZ‐CA49764 NCI‐P89‐0003. Double‐blind, randomized trial of selenium‐enriched brewer's yeast vs brewer's yeast placebo for the prevention of skin cancer in patients with a history of squamous or basal cell skin cancer (Summary Last Modified 05/91). http://www.cancer.gov. National Cancer Institute, (accessed 1 March 2004). CENTRAL
Combs GF, Clark LC, Turnbull BW. Reduction of cancer mortality and incidence by selenium supplementation. Medizinische Klinik 1997;92(Suppl 3):42‐5. CENTRAL
Combs GFJr, Clark LC, Turnbull BW. Reduction of cancer risk with an oral supplement of selenium. Biomedical and Environmental Sciences 1997;10(2‐3):227‐34. CENTRAL
Duffield‐Lillico AJ, Dalkin BL, Reid ME, Turnbull BW, Slate EH, Jacobs ET, et al. Nutritional Prevention of Cancer Study Group. Selenium supplementation, baseline plasma selenium status and incidence of prostate cancer: an analysis of the complete treatment period of the Nutritional Prevention of Cancer Trial. BJU International 2003b;91(7):608‐12. CENTRAL
Duffield‐Lillico AJ, Reid ME, Turnbull BW, Combs GF, Slate EH, Fischbach LA, et al. Baseline characteristics and the effect of selenium supplementation on cancer incidence in a randomized clinical trial: a summary report of the Nutritional Prevention of Cancer Trial. Cancer Epidemiology, Biomarkers & Prevention 2002;11(7):630‐9. CENTRAL
Duffield‐Lillico AJ, Slate EH, Reid ME, Turnbull BW, Wilkins PA, Combs GF, et al. Nutritional Prevention of Cancer Study Group. Selenium supplementation and secondary prevention of nonmelanoma skin cancer in a randomized trial. Journal of the National Cancer Institute 2003a;95(19):1477‐81. CENTRAL
Marshall JR, 5R01CA049764‐15. Nutritional Prevention of Cancer. http://crisp.cit.nih.gov (accessed 1 March 2004). CENTRAL
Reid ME, Duffield‐Lillico AJ, Garland L, Turnbull BW, Clark LC, Marshall JR. Selenium supplementation and lung cancer incidence: an update of the Nutritional Prevention of Cancer Trial. Cancer Epidemiology, Biomarkers & Prevention 2002;11(11):1285‐91. CENTRAL
Reid ME, Duffield‐Lillico AJ, Slate E, Natarajan N, Turnbull B, Jacobs E, et al. The nutritional prevention of cancer: 400 mcg per day selenium treatment. Nutrition and Cancer 2008;60(2):155‐63. CENTRAL
Stranges S, Marshall JR, Natarajan R, Donahue RP, Trevisan M, Combs GF, et al. Effects of long‐term selenium supplementation on the incidence of type 2 diabetes: a randomized trial. Annals of Internal Medicine 2007;147(4):217‐23. CENTRAL

O'Grady 2014 {published data only}

O'Grady TJ, Kitahara CM, DiRienzo AG, Gates MA. The association between selenium and other micronutrients and thyroid cancer incidence in the NIH‐AARP Diet and Health Study. PloS One 2014;9(10):e110886. [PUBMED: 25329812]CENTRAL

Outzen 2016 {published data only}

Outzen M, Tjonneland A, Larsen EH, Friis S, Larsen SB, Christensen J, et al. Selenium status and risk of prostate cancer in a Danish population. British Journal of Nutrition 2016;115(9):1669‐77. [PUBMED: 26971676]CENTRAL
Tjonneland A, Olsen A, Boll K, Stripp C, Christensen J, Engholm G, et al. Study design, exposure variables, and socioeconomic determinants of participation in Diet, Cancer and Health: a population‐based prospective cohort study of 57,053 men and women in Denmark. Scandinavian Journal of Public Health 2007;35(4):432‐41. [PUBMED: 17786808]CENTRAL

Overvad 1991 {published data only}

Overvad K, Wang DY, Olsen J, Allen DS, Thorling EB, Bulbrook RD, Hayward JL. Selenium in human mammary carcinogenesis: a case‐cohort study. European Journal of Cancer 1991;27(7):900‐2. CENTRAL

Pantavos 2015 {published data only}

Pantavos A, Ruiter R, Feskens EF, de Keyser CE, Hofman A, Stricker BH, et al. Total dietary antioxidant capacity, individual antioxidant intake and breast cancer risk: the Rotterdam Study. International Journal of Cancer 2015;136(9):2178‐86. [PUBMED: 25284450]CENTRAL

Park 2015 {published data only}

Park SY, Haiman CA, Cheng I, Park SL, Wilkens LR, Kolonel LN, et al. Racial/ethnic differences in lifestyle‐related factors and prostate cancer risk: the Multiethnic Cohort Study. Cancer Causes & Control 2015;26(10):1507‐15. [PUBMED: 26243447]CENTRAL

Peleg 1985 {published data only}

Peleg I, Morris S, Hames CG. Is serum selenium a risk factor for cancer?. Medical Oncology and Tumor Pharmacotherapy 1985;2(3):157‐63. CENTRAL

Peters 2007 {published data only}

Peters U, Foster CB, Chatterjee N, Schatzkin A, Reding D, Andriole GL, et al. Serum selenium and risk of prostate cancer ‐ a nested case‐control study. American Journal of Clinical Nutrition 2007;85(1):209‐17. CENTRAL

Peters 2008 {published data only}

Asgari MM, Maruti SS, Kushi LH, White E. Antioxidant supplementation and risk of incident melanomas: results of a large prospective cohort study. Archives of Dermatology 2009;145(8):879‐82. CENTRAL
Peters U, Littman AJ, Kristal AR, Patterson RE, Potter JD, White E. Vitamin E and selenium supplementation and risk of prostate cancer in the vitamins and lifestyle (VITAL) study cohort. Cancer Causes Control 2008;19(1):75‐87. CENTRAL

Ratnasinghe 2000 {published data only}

Ratnasinghe D, Tangrea JA, Forman MR, Hartman T, Gunter EW, Qiao YL, et al. Serum tocopherols, selenium and lung cancer risk among tin miners in China. Cancer Causes and Control 2000;11(2):129‐35. CENTRAL

Reid 2008 {published data only}

Reid ME, Duffield‐Lillico AJ, Slate E, Natarajan N, Turnbull B, Jacobs E, et al. The nutritional prevention of cancer: 400 mcg per day selenium treatment. Nutrition and Cancer 2008;60(2):155‐63. CENTRAL

Ringstad 1988 {published data only}

Ringstad J, Jacobsen BK, Tretli S, Thomassen Y. Serum selenium concentration associated with risk of cancer. Journal of Clinical Pathology 1988;41(4):454‐7. CENTRAL

Sakoda 2005 {published data only}

Sakoda LC, Graubard BI, Evans AA, London WT, Lin WY, Shen FM, et al. Toenail selenium and risk of hepatocellular carcinoma mortality in Haimen City, China. International Journal of Cancer 2005;115(4):618‐24. CENTRAL

Salonen 1984 {published data only}

Salonen JT, Alfthan G, Huttunen JK, Puska P. Association between serum selenium and the risk of cancer. American Journal of Epidemiology 1984;120(3):342‐9. CENTRAL

Salonen 1985 {published data only}

Salonen JT, Salonen R, Lappetelainen R, Maenpaa PH, Alfthan G, Puska P. Risk of cancer in relation to serum concentrations of selenium and vitamins A and E: matched case‐control analysis of prospective data. British Medical Journal (Clinical Research Edition) 1985;290(6466):417‐20. CENTRAL

SELECT 2009 {published data only}

Cook ED. Selenium and Vitamin E Cancer Prevention Trial ‐ this one's for us. Journal of the National Medical Association 2002;94(9):856‐8. CENTRAL
Cook ED, Moody‐Thomas S, Anderson KB, Campbell R, Hamilton SJ, Harrington JM, et al. Minority recruitment to the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Clinical Trials 2005;2(5):436‐42. CENTRAL
DeFrancesco L. Prostate cancer prevention trial launched. Nature Medicine 2001;7(10):1076. CENTRAL
Dunn BK, Ryan A, Ford LG. Selenium and Vitamin E Cancer Prevention Trial: a nutrient approach to prostate cancer prevention. Recent Results in Cancer Research 2009;181:183‐93. CENTRAL
FDA. Largest‐ever prostate cancer prevention trial. FDA Consumer 2001;35(5):8. CENTRAL
Ford LG, Minasian LM, McCaskill‐Stevens W, Pisano ED, Sullivan D, Smith RA. Prevention and early detection clinical trials: opportunities for primary care providers and their patients. CA: A Cancer Journal for Clinicians 2003;53(2):82‐101. CENTRAL
Hoque A, Albanes D, Lippman SM, Spitz MR, Taylor PR, Klein EA, et al. Molecular epidemiologic studies within the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cancer Causes and Control 2001;12(7):627‐33. CENTRAL
Kardinal C, Brooks J. Ochsner Cancer Institute studies vitamin E and selenium as prostate cancer prevention agents. Ochsner Journal 2003;5(2):51. CENTRAL
Klein EA. Clinical models for testing chemopreventative agents in prostate cancer and overview of SELECT: the Selenium and Vitamin E Cancer Prevention Trial. Recent Results in Cancer Research 2003;163:212‐25. CENTRAL
Klein EA. Selenium and vitamin E cancer prevention trial. Annals of the New York Academy of Sciences 2004;1031:234‐41. CENTRAL
Klein EA, Atkins MB, Walther P, Klotz L, SWOG‐S000. Phase III randomized study of selenium and vitamin E for the prevention of prostate cancer (SELECT trial). http://clinicaltrials.gov/ (accessed 12 January 2004). CENTRAL
Klein EA, Lippman SM, Thompson IM, Goodman PJ, Albanes D, Taylor PR, et al. The selenium and vitamin E cancer prevention trial. World Journal of Urology 2003;21(1):21‐7. CENTRAL
Klein EA, Thompson IM, Tangen CM, Crowley JJ, Lucia MS, Goodman PJ, et al. Vitamin E and the risk of prostate cancer: the Selenium and Vitamin E Cancer Prevention Trial (SELECT). JAMA 2011;306(14):1549‐56. CENTRAL
Klein EA, Thompson IM, Lippman SM, Goodman PJ, Albanes D, Taylor PR, et al. SELECT: the Selenium and Vitamin E Cancer Prevention Trial. Urologic Oncology 2003;21(1):59‐65. CENTRAL
Klein EA, Thompson IM, Lippman SM, Goodman PJ, Albanes D, Taylor PR, et al. SELECT: the Selenium and Vitamin E Cancer Prevention Trial: rationale and design. Prostate Cancer and Prostatic Diseases 2000;3(3):145‐51. CENTRAL
Klein EA, Thompson IM, Lippman SM, Goodman PJ, Albanes D, Taylor PR, et al. SELECT: the next prostate cancer prevention trial. Selenium and Vitamin E Cancer Prevention Trial. Journal of Urology 2001;166(4):1311‐5. CENTRAL
Lippman SM, Goodman PJ, Klein EA, Parnes HL, Thompson IM, Kristal AR, et al. Designing the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Journal of the National Cancer Institute 2005;97(2):94‐102. CENTRAL
Lippman SM, Klein EA, Goodman PJ, Lucia MS, Thompson IM, Ford LG, et al. Effect of selenium and vitamin E on risk of prostate cancer and other cancers: the Selenium and Vitamin E Cancer Prevention Trial (SELECT). JAMA 2009;301(1):39‐51. CENTRAL
Lotan Y, Goodman PJ, Youssef RF, Svatek RS, Shariat SF, Tangen CM, et al. Evaluation of vitamin E and selenium supplementation for the prevention of bladder cancer in SWOG coordinated SELECT. Journal of Urology 2012;187(6):205‐10. CENTRAL
Miller M. Enrollment begins for largest‐ever prostate cancer prevention trial. Journal of the National Cancer Institute 2001;93(15):1132. CENTRAL
Pak RW, Lanteri VJ, Scheuch JR, Sawczuk IS. Review of vitamin E and selenium in the prevention of prostate cancer: implications of the selenium and vitamin E chemoprevention trial. Integrative Cancer Therapies 2002;1(4):338‐44. CENTRAL
South West Oncology Group. Selenium and Vitamin E Cancer Prevention Trial (SELECT). http://www.controlled‐trials.com/mrct/trial/SELENIUM/1059/42795.html (accessed 16 April 2004). CENTRAL
South West Oncology Group. Selenium and Vitamin E in preventing prostate cancer. http://www.controlled‐trials.com/mrct/trial/SELENIUM/1059/32859.html. Southwest Oncology Group, (accessed 16 April 2004). CENTRAL
Tangen CM, Goodman PJ, Crowley JJ, Thompson IM. Statistical design issues and other practical considerations for conducting phase III prostate cancer prevention trials. Journal of Urology 2004;171(2 Pt 2):S64‐7. CENTRAL
Tom J. SELECT (opportunity for prostate cancer prevention). Hawaii Medical Journal 2002;61(6):126‐9. CENTRAL

Steevens 2010 {published data only}

Steevens J, Van den Brandt PA, Goldbohm RA, Schouten LJ. Selenium status and the risk of esophageal and gastric cancer subtypes: the Netherlands cohort study. Gastroenterology. 138. W.B. Saunders (Independence Square West, Philadelphia PA 19106‐3399, United States), 2010; Vol. 138, issue 5:1704‐13. CENTRAL

Steinbrecher 2010 {published data only}

Steinbrecher A, Meplan C, Hesketh J, Schomburg L, Endermann T, Jansen E, et al. Effects of selenium status and polymorphisms in selenoprotein genes on prostate cancer risk in a prospective study of European men. Cancer Epidemiology, Biomarkers & Prevention. 19. American Association for Cancer Research Inc. (615 Chestnut Street, 17th Floor, Philadelphia PA 19106‐3483, United States), 2010; Vol. 19, issue 11:2958‐68. CENTRAL

Suadicani 2012 {published data only}

Suadicani P, Hein HO, Gyntelberg F. Serum selenium level and risk of lung cancer mortality: a 16‐year follow‐up of the Copenhagen Male Study. European Respiratory Journal 2012;39(6):1443‐8. CENTRAL

Sun 2016 {published data only}

Sun JW, Shu XO, Li HL, Zhang W, Gao J, Zhao LG, et al. Dietary selenium intake and mortality in two population‐based cohort studies of 133 957 Chinese men and women. Public Health Nutrition 2016;19(16):2991‐8. [PUBMED: 27197889]CENTRAL

Thomson 2008 {published data only}

Thomson CA, Neuhouser ML, Shikany JM, Caan BJ, Monk BJ, Mossavar‐Rahmani Y, et al. The role of antioxidants and vitamin A in ovarian cancer: results from the Women's Health Initiative. Nutrition and Cancer 2008;60(6):710‐9. CENTRAL

van den Brandt 1993 {published data only}

Zeegers MPA, Goldbohm RA, Bode P, van den Brandt PA. Prediagnostic toenail selenium and risk of bladder cancer. Cancer Epidemiology, Biomarkers & Prevention 2002;11(11):1292‐7. CENTRAL
van den Brandt PA, Goldbohm RA, van't Veer P, Bode P, Dorant E, Hermus RJ, et al. A prospective cohort study on selenium status and the risk of lung cancer. Cancer Research 1993a;53(20):4860‐5. CENTRAL
van den Brandt PA, Goldbohm RA, van't Veer P, Bode P, Dorant E, Hermus RJ, et al. A prospective cohort study on toenail selenium levels and risk of gastrointestinal cancer. Journal of the National Cancer Institute 1993b;85(3):224‐9. CENTRAL
van den Brandt PA, Goldbohm RA, van't Veer P, Bode P, Dorant E, Hermus RJ, et al. Toenail selenium levels and the risk of breast cancer. American Journal of Epidemiology 1994;140(1):20‐6. CENTRAL
van den Brandt PA, Zeegers MPA, Bode P, Goldbohm RA. Toenail selenium levels and the subsequent risk of prostate cancer: a prospective cohort study. Cancer Epidemiology, Biomarkers & Prevention 2003;12(9):866‐71. CENTRAL

van Noord 1987 {published data only}

van Noord PAH, Collette HJA, Maas MJ, de Waard F. Selenium levels in nails of premenopausal breast cancer patients assessed prediagnostically in a cohort‐nested case‐referent study among women screened in the DOM project. International Journal of Epidemiology 1987;16(2):318‐22. CENTRAL

Virtamo 1987 {published data only}

Virtamo J, Valkeila E, Alfthan G, Punsar S, Huttunen JK, Karvonen MJ. Serum selenium and risk of cancer. A prospective follow‐up of nine years. Cancer 1987;60(2):145‐8. CENTRAL

Walter 2011 {published data only}

Walter RB, Brasky TM, Milano F, White E. Vitamin, mineral, and specialty supplements and risk of hematologic malignancies in the prospective VITamins And Lifestyle (VITAL) study. Cancer Epidemiology, Biomarkers & Prevention 2011;20(10):2298‐308. CENTRAL

Wei 2004 {published data only}

Mark SD, Qiao YL, Dawsey SM, Wu YP, Katki H, Gunter EW, et al. Prospective study of serum selenium levels and incident esophageal and gastric cancers. Journal of the National Cancer Institute 2000;92(21):1753‐63. CENTRAL
Wei WQ, Abnet CC, Qiao YL, Dawsey SM, Dong ZW, Sun XD, et al. Prospective study of serum selenium concentrations and esophageal and gastric cardia cancer, heart disease, stroke, and total death. American Journal of Clinical Nutrition 2004;79(1):80‐5. CENTRAL

Willett 1983 {published data only}

Willett WC, Polk BF, Morris JS, Stampfer MJ, Pressel S, Rosner B, et al. Prediagnostic serum selenium and risk of cancer. Lancet 1983;2(8342):130‐4. CENTRAL

Yoshizawa 1998 {published data only}

Yoshizawa K, Willett WC, Morris SJ, Stampfer MJ, Spiegelman D, Rimm EB, et al. Study of prediagnostic selenium level in toenails and the risk of advanced prostate cancer. Journal of the National Cancer Institute 1998;90(16):1219‐24. CENTRAL

Yu 1991 {published data only}

Li WG. [Preliminary observations on effect of selenium yeast on high risk populations with primary liver cancer]. Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine] 1992;26(5):268‐71. CENTRAL
Yu S, Li W, Zhu Y. Chemoprevention of liver cancer. CCPC‐93: Second International Cancer Chemo Prevention Conference; 1993 April 28‐30; Berlin (Meeting Abstracts).. CENTRAL
Yu SY, Zhu YJ, Li WG, Huang QS, Huang CZ, Zhang QN, et al. A preliminary report on the intervention trials of primary liver cancer in high‐risk populations with nutritional supplementation of selenium in China. Biological Trace Element Research 1991;29(3):289‐94. CENTRAL

Yu 1997 {published data only}

Li WG. [Preliminary observations on effect of selenium yeast on high risk populations with primary liver cancer]. Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine] 1992;26(5):268‐71. CENTRAL
Yu SY, Zhu YJ, Li WG. Protective role of selenium against hepatitis B virus and primary liver cancer in Qidong. Biological Trace Element Research 1997;56(1):117‐24. [MEDLINE: 15873]CENTRAL
Yu SY, Zhu YJ, Li WG, Huang QS, Huang CZ, Zhang QN, et al. A preliminary report on the intervention trials of primary liver cancer in high‐risk populations with nutritional supplementation of selenium in China. Biological Trace Element Research 1991;29(3):289‐94. CENTRAL

Yu 1999 {published data only}

Yu MW, Horng IS, Hsu KH, Chiang YC, Liaw YF, Chen CJ. Plasma selenium levels and risk of hepatocellular carcinoma among men with chronic hepatitis virus infection. American Journal of Epidemiology 1999;150(4):367‐74. CENTRAL

References to studies excluded from this review

Albanes 2014 {published data only}

Albanes D, Till C, Klein EA, Goodman PJ, Mondul AM, Weinstein SJ, et al. Plasma tocopherols and risk of prostate cancer in the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cancer Prevention Research (Philadelphia, Pa.) 2014;7(9):886‐95. [PUBMED: 24961880]CENTRAL

Bates 2011 {published data only}

Bates CJ, Hamer M, Mishra GD. Redox‐modulatory vitamins and minerals that prospectively predict mortality in older British people: the National Diet and Nutrition Survey of people aged 65 years and over. British Journal of Nutrition 2011;105(1):123‐32. [EPI_EU_Bates 2011]CENTRAL

Bostick 1993 {published data only}

Bostick RM, Potter JD, McKenzie DR, Sellers TA, Kushi LH, Steinmetz KA, et al. Reduced risk of colon cancer with high intake of vitamin E: the Iowa Women's Health Study. Cancer Research 1993;53(18):4230‐7. CENTRAL

Brock 1991 {published data only}

Brock KE, Gridley G, Morris JS, Willett WC. Serum selenium level in relation to in situ cervical cancer in Australia. Journal of the National Cancer Institute 1991;83(4):292‐3. CENTRAL

Chen 1988 {published data only}

Chen Q. [Protective effects of selenium, zinc and copper on lung cancer]. Zhonghua Yu Fang Yi Xue Za Zhi [Chinese Journal of Preventive Medicine] 1988;22(4):221‐4. CENTRAL

Chen 2003 {published data only}

Chen K, Qiu JL, Sui LM, Yu WP, Wang JY, Zhang LJ. Nutrient intake and gastric cancer in residents of Zhoushan Islands, China. Digestive and Liver Disease 2003;35(12):912‐3. CENTRAL

Connelly‐Frost 2009 {published data only}

Connelly‐Frost A, Poole C, Satia JA, Kupper LL, Millikan RC, Sandler RS. Selenium, folate, and colon cancer. Nutrition and Cancer 2009;61(2):165‐78. CENTRAL

Costello 2001 {published data only}

Costello AJ. A randomized, controlled chemoprevention trial of selenium in familial prostate cancer: rationale, recruitment, and design issues. Urology 2001;57(4 Suppl 1):182‐4. CENTRAL

Criqui 1991 {published data only}

Criqui MH, Bangdiwala S, Goodman DS, Blaner WS, Morris JS, Kritchevsky S, et al. Selenium, retinol, retinol‐binding protein, and uric acid. Associations with cancer mortality in a population‐based prospective case‐control study. Annals of Epidemiology 1991;1(5):385‐93. CENTRAL

Cui 2007 {published data only}

Cui Y, Vogt S, Olson N, Glass AG, Rohan TE. Levels of zinc, selenium, calcium, and iron in benign breast tissue and risk of subsequent breast cancer. Cancer Epidemiology, Biomarkers & Prevention 2007;16(8):1682‐5. CENTRAL

Davies 2002 {published data only}

Davies TW, Treasure FP, Welch AA, Day NE. Diet and basal cell skin cancer: results from the EPIC‐Norfolk cohort. British Journal of Dermatology 2002;146(6):1017‐22. CENTRAL

Epplein 2014 {published data only}

Epplein M, Burk RF, Cai Q, Hargreaves MK, Blot WJ. A prospective study of plasma Selenoprotein P and lung cancer risk among low‐income adults. Cancer Epidemiology, Biomarkers & Prevention 2014;23(7):1238‐44. CENTRAL

Fleshner 2003 {published data only}

Fleshner N, CAN‐CNIC‐PRP1. Phase II randomized study of vitamin E, selenium, and soy protein isolate in patients with high‐grade prostatic intraepithelial neoplasia. http://www.cancer.gov (accessed 1 April 2004). CENTRAL

Geybels 2013 {published data only}

Geybels MS, Verhage BA, van Schooten FJ, Goldbohm RA, van den Brandt PA. Advanced prostate cancer risk in relation to toenail selenium levels. Journal of the National Cancer Institute 2013;105(18):1394‐401. [PUBMED: 23878355]CENTRAL

Geybels 2014 {published data only}

Geybels MS, van den Brandt PA, Schouten LJ, van Schooten FJ, van Breda SG, Rayman MP, et al. Selenoprotein gene variants, toenail selenium levels, and risk for advanced prostate cancer. Journal of the National Cancer Institute 2014;106(3):dju003. [PUBMED: 24563517]CENTRAL

Hagmar 1992 {published data only}

Hagmar L, Linden K, Nilsson A, Norrving B, Akesson B, Schutz A, et al. Cancer incidence and mortality among Swedish Baltic Sea fishermen. Scandinavian Journal of Work, Environment and Health 1992;18(4):217‐24. CENTRAL

Harris 2012 {published data only}

Harris Holly R, Brgkvist L, Wolk A. Selenium intake and breast cancer mortality in a cohort of Swedish women. Breast Cancer Research and Treatment 2012;134(3):1269‐77. CENTRAL

Hartman 2002 {published data only}

Hartman TJ, Taylor PR, Alfthan G, Fagerstrom R, Virtamo J, Mark SD, et al. Toenail selenium concentration and lung cancer in male smokers (Finland). Cancer Causes & Control 2002;13(10):923‐8. CENTRAL

Huzarski 2006 {published data only}

Huzarski T, Byrski T, Gronwald J, Kowalska E, Zajaczek S, Gorski B, et al. A lowering of breast and ovarian cancer risk in women with a BRCA1 mutation by selenium supplementation of diet. Hereditary Cancer in Clinical Practice 2006;4(1):58. CENTRAL

Joniau 2007 {published data only}

Joniau S, Goeman L, Roskams T, Lerut E, Oyen R, Van PH. Effect of nutritional supplement challenge in patients with isolated high‐grade prostatic intraepithelial neoplasia. Urology 2007;69(6):1102‐6. CENTRAL

Karunasinghe 2012 {published data only}

Karunasinghe N, Han DY, Goudie M, Zhu S, Bishop K, Wang A, et al. Prostate disease risk factors among a New Zealand cohort. Journal of Nutrigenetics and Nutrigenomics 2012;5(6):339‐51. [PUBMED: 23363810]CENTRAL

Kellen 2008 {published data only}

Kellen E, Zeegers MP, Bruckers L, Buntinx F. The investigation of a geographical cluster of bladder cancer. Acta Clinica Belgica 2008;63(5):313‐20. CENTRAL

Kilander 2001 {published data only}

Kilander L, Berglund L, Boberg M, Vessby B, Lithell H. Education, lifestyle factors and mortality from cardiovascular disease and cancer. A 25‐year follow‐up of Swedish 50‐year‐old men. International Journal of Epidemiology 2001;30(5):1119‐26. CENTRAL

Knekt 1988a {published data only}

Knekt P, Reunanen A, Aromaa A, Heliovaara M, Hakulinen T, Hakama M. Serum cholesterol and risk of cancer in a cohort of 39,000 men and women. Journal of Clinical Epidemiology 1988;41(6):519‐30. CENTRAL

Knekt 1988b {published data only}

Knekt P, Aromaa A, Maatela J, Aaran RK, Nikkari T, Hakama M, et al. Serum vitamin E and risk of cancer among Finnish men during a 10‐year follow‐up. American Journal of Epidemiology 1988;127(1):28‐41. CENTRAL

Knekt 1991 {published data only}

Knekt P, Aromaa A, Maatela J, Alfthan G, Aaran RK, Nikkari T, et al. Serum micronutrients and risk of cancers of low incidence in Finland. American Journal of Epidemiology 1991;134(4):356‐61. CENTRAL

Kok 1987b {published data only}

Kok FJ, van Duijn CM, Hofman A, Vermeeren R, De Bruijn AM, Valkenburg HA. Micronutrients and the risk of lung cancer (letter). New England Journal of Medicine 1987c;316:1416. CENTRAL

Kune 2006 {published data only}

Kune G, Watson L. Colorectal cancer protective effects and the dietary micronutrients folate, methionine, vitamins B6, B12, C, E, selenium, and lycopene. Nutrition and Cancer 2006;56(1):11‐21. CENTRAL

Kuroda 1988 {published data only}

Kuroda M, Imura T, Morikawa K, Hasegawa T. Decreased serum levels of selenium and glutathione peroxidase activity associated with aging, malignancy and chronic hemodialysis. Trace Elements in Medicine 1988;5(3):97‐103. CENTRAL

Lane 2017 {published data only}

Lane JA, Oliver SE, Appleby PN, Lentjes MA, Emmett P, Kuh D, et al. Prostate cancer risk related to foods, food groups, macronutrients and micronutrients derived from the UK Dietary Cohort Consortium food diaries. European Journal of Clinical Nutrition 2017;71(2):274‐83. [PUBMED: 27677361]CENTRAL

Lawson 2007 {published data only}

Lawson KA, Wright ME, Subar A, Mouw T, Hollenbeck A, Schatzkin A, et al. Multivitamin use and risk of prostate cancer in the National Institutes of Health‐AARP Diet and Health Study. Journal of the National Cancer Institute 2007;99(10):754‐64. CENTRAL

Le Marchand 2006 {published data only}

Le Marchand L, Saltzman BS, Hankin JH, Wilkens LR, Franke AA, Morris SJ, et al. Sun exposure, diet, and melanoma in Hawaii Caucasians. American Journal of Epidemiology 2006;164(3):232‐45. CENTRAL

Li 2004b {published data only}

Li H, Li HQ, Wang Y, Xu HX, Fan WT, Wang ML, et al. An intervention study to prevent gastric cancer by micro‐selenium and large dose of allitridum. Chinese Medical Journal 2004;117(8):1155‐60. CENTRAL

Limburg 2005 {published data only}

Limburg PJ, Wei W, Ahnen DJ, Qiao Y, Hawk ET, Wang G, et al. Randomized, placebo‐controlled, esophageal squamous cell cancer chemoprevention trial of selenomethionine and celecoxib. Gastroenterology 2005;129(3):863‐73. CENTRAL

Linxian Pilot 2000 {published data only}

NCI‐OH95‐C‐N026NCI‐P00‐0157. Pilot randomized chemoprevention study of selenium and celecoxib, alone or in combination, in patients with esophageal squamous dysplasia who are residing in Linxian, People's Republic of China. http://www.cancer.gov/search/ViewClinicalTrials.aspx?cdrid=67930&version=HealthProfessional&protocolsearchid=5845119 (accessed 25 February 2009). CENTRAL

Loeb 2015 {published data only}

Loeb S, Peskoe SB, Joshu CE, Huang WY, Hayes RB, Carter HB, et al. Do environmental factors modify the genetic risk of prostate cancer?. Cancer Epidemiology, Biomarkers & Prevention 2015;24(1):213‐20. [PUBMED: 25342390]CENTRAL

Martinez 2014 {published data only}

Martinez EE, Darke AK, Tangen CM, Goodman PJ, Fowke JH, Klein EA, et al. A functional variant in NKX3.1 associated with prostate cancer risk in the Selenium and Vitamin E Cancer Prevention Trial (SELECT). Cancer Prevention Research 2014;7(9):950‐7. [PUBMED: 24894197]CENTRAL

Neuhouser 2009 {published data only}

Neuhouser ML, Wassertheil‐Smoller S, Tomson C, Aragaki A, Anderson GL, Manson JE, et al. Multivitamin use and risk of cancer and cardiovascular disease in the women's health initiative cohorts. Archives of Internal Medicine 2009;169(3):294‐304. CENTRAL

Persson 2000 {published data only}

Persson‐Moschos ME, Stavenow L, Akesson B, Lindgarde F. Selenoprotein P in plasma in relation to cancer morbidity in middle‐aged Swedish men. Nutrition and Cancer 2000;36(1):19‐26. CENTRAL

Ray 2006 {published data only}

Ray AL, Semba RD, Walston J, Ferrucci L, Cappola AR, Ricks MO, et al. Low serum selenium and total carotenoids predict mortality among older women living in the community: the women's health and aging studies. Journal of Nutrition 2006;136(1):172‐6. CENTRAL

Rayman 2001 {published data only}

Larsen EH. Prevention of cancer by intervention with Selenium (pilot) ‐ PRECISE‐PILOT. http://www.food.dtu.dk/Default.aspx?ID=20782 (accessed 6 April 2011). CENTRAL
MRC Clinical Trials Unit, ISRCTN64336220. A randomised double‐blind placebo‐controlled cancer prevention trial with an estimated duration of 5 years with 52,000 subjects recruited from the general populations of the UK, Denmark, Sweden, Finland and the United States. http://www.controlled‐trials.com/ISRCTN64336220 (accessed 6 April 2011). CENTRAL
Rayman M, ISRCTN25193534. UK prevention of cancer by intervention with selenium. http://www.controlled‐trials.com/ISRCTN25193534/ (accessed 6 April 2011). CENTRAL
Rayman M, NCT00022165. Selenium in the prevention of cancer. http://clinicaltrials.gov/ct2/show/NCT00022165. England, W12 ONN, United Kingdom: Hammersmith Hospital London, (accessed 6 April 2011). CENTRAL

Rendon {published data only}

Rendon RA, Fleshner N. Vitamin E, selenium and soy protein in preventing cancer in patients with high‐grade prostate neoplasia. http://clinicaltrials.gov/ct2/show/NCT00064194. www.clinicaltrials.gov, (accessed 6 April 2011). CENTRAL

Steevens 2010b {published data only}

Steevens J, Schouten LJ, Driessen AL, Huysentruyt CJ, Keulemans YC, Goldbohm RA, et al. Toenail selenium status and the risk of Barrett's esophagus: the Netherlands Cohort Study. Cancer Causes Control 2010;21(12):2259‐68. CENTRAL

Thompson 2009 {published data only}

Thompson CA, Habermann TM, Wang AH, Vierkant RA, Folsom AR, Ross JA, et al. Antioxidant intake from fruits, vegetables and other sources and risk of non‐Hodgkin lymphoma: the Iowa Women's Health Study. International Journal of Cancer 2009;126(4):992‐1003. [DOI: 10.1002/ijc.24830]CENTRAL

Tsugane 1996 {published data only}

Tsugane S, Hamada GS, Karita K, Tsubono Y, Laurenti R. Cancer patterns and lifestyle among Japanese immigrants and their descendants in the city of Sao Paulo, Brazil. Gann Monographs on Cancer Research 1996;44:43‐50. CENTRAL

Ujiie 2002 {published data only}

Ujiie S, Kikuchi H. The relation between serum selenium value and cancer in Miyagi, Japan: 5‐year follow up study. Tohoku Journal of Experimental Medicine 2002;196(3):99‐109. CENTRAL

van't Veer 1996 {published data only}

van't Veer P, Strain JJ, Fernandez‐Crehuet J, Martin BC, Thamm M, Kardinaal AF, et al. Tissue antioxidants and postmenopausal breast cancer: the European Community Multicentre Study on Antioxidants, Myocardial Infarction, and Cancer of the Breast (EURAMIC). Cancer Epidemiology, Biomarkers & Prevention 1996;5(6):441‐7. CENTRAL

van Noord 1992 {published data only}

van Noord PAH, van der Tweel I, Kaaks R, de Waard F. Selenium levels and subsequent colorectal cancers: the efficiency gain of a sequential test to a cohort‐nested study with a 1:4 matching ratio. In: Noord PAH editor(s). Selenium and Human Cancer Risk: Nail Keratin as a Tool in Metabolic Epidemiology. Amsterdam: Thesis Publishers, 1992:139‐53. CENTRAL

van Noord 1993 {published data only}

van Noord PAH, Maas MJ, van der Tweel I, Collette C. Selenium and the risk of postmenopausal breast cancer in the DOM cohort. Breast Cancer Research and Treatment 1993;25(1):11‐9. CENTRAL

Wallace 2009 {published data only}

Wallace K, Kelsey KT, Schned A, Morris JS, Andrew AS, Karagas MR. Selenium and risk of bladder cancer: a population‐based case‐control study. Cancer Prevention Research (Phila Pa) 2009;2(1):70‐3. CENTRAL

Watters 2009 {published data only}

Watters JL, Park Y, Hollenbeck A, Schatzkin A, Albanes D. Cigarette smoking and prostate cancer in a prospective US cohort study. Cancer Epidemiology, Biomarkers & Prevention 2009;18(9):2427‐35. CENTRAL

Wright 2004 {published data only}

Wright ME, Mayne ST, Stolzenberg‐Solomon RZ, Li Z, Pietinen P, Taylor PR, et al. Development of a comprehensive dietary antioxidant index and application to lung cancer risk in a cohort of male smokers. American Journal of Epidemiology 2004;160(1):68‐76. CENTRAL

You 2005 {published data only}

You WC, Li JY, Zhang L, Jin ML, Chang YS, Ma JL, et al. Etiology and prevention of gastric cancer: a population study in a high risk area of China. Chinese Journal of Digestive Diseases 2005;6(4):149‐54. CENTRAL

Yuan 2006 {published data only}

Yuan JM, Gao YT, Ong CN, Ross RK, Yu MC. Prediagnostic level of serum retinol in relation to reduced risk of hepatocellular carcinoma. JNCI Cancer Spectrum 2006;98(7):482‐90. CENTRAL

Zeegers 2009 {published data only}

Zeegers MP, Bryan RT, Langford C, Billingham L, Murray P, Deshmukh NS, et al. The West Midlands Bladder Cancer Prognosis Programme: rationale and design. BJU International 2010;705(6):784‐8. [DOI: 10.1111/j.1464‐410X.2009.08849.x]CENTRAL

Argos 2013 {published data only}

Argos M, Rahman M, Parvez F, Dignam J, Islam T, Quasem I, et al. Baseline comorbidities in a skin cancer prevention trial in Bangladesh. European Journal of Clinical Investigation 2013;43(6):579‐88. [PUBMED: 23590571]CENTRAL

Allen 2016

Allen NE, Travis RC, Appleby PN, Albanes D, Barnett MJ, Black A, et al. Selenium and prostate cancer: analysis of individual participant data from fifteen prospective studies. Journal of the National Cancer Institute 2016;108(11):djw153. [PUBMED: 27385803]

Allingstrup 2015

Allingstrup M, Afshari A. Selenium supplementation for critically ill adults. Cochrane Database of Systematic Reviews 2015, Issue 7. [DOI: 10.1002/14651858.CD003703.pub3]

Arnaud 2007

Arnaud J, Arnault N, Roussel AM, Bertrais S, Ruffieux D, Galan P, et al. Relationships between selenium, lipids, iron status and hormonal therapy in women of the SU.VI.M.AX cohort. Journal of Trace Elements in Medicine and Biology 2007;21(Suppl 1):66‐9.

Ashton 2009

Ashton K, Hooper L, Harvey LJ, Hurst R, Casgrain A, Fairweather‐Tait SJ. Methods of assessment of selenium status in humans: a systematic review. American Journal of Clinical Nutrition 2009;89(6):2025S‐39S.

Barany 2002

Barany E, Bergdahl IA, Bratteby LE, Lundh T, Samuelson G, Schutz A, et al. Trace elements in blood and serum of Swedish adolescents: relation to gender, age, residential area, and socioeconomic status. Environmental Research 2002;89(1):72‐84.

Beane Freeman 2015

Beane Freeman LE, Karagas MR, Baris D, Schwenn M, Johnson AT, Colt JS, et al. Is the inverse association between selenium and bladder cancer due to confounding by smoking?. American Journal of Epidemiology 2015;181(7):488‐95. [PUBMED: 25776013]

Behne 1996

Behne D, Gessner H, Kyriakopoulos A. Information on the selenium status of several body compartments of rats from the selenium concentrations in blood fractions, hair and nails. Journal of Trace Elements in Medicine and Biology 1996;103:174‐9.

Behne 2010

Behne D, Alber D, Kyriakopoulos S. Long‐term selenium supplementation of humans: selenium status and relationships between selenium concentrations in skeletal muscle and indicator materials. Journal of Trace Elements in Medicine and Biology 2010;24(2):99‐105.

Bhattacharjee 2017

Bhattacharjee A, Basu A, Biswas J, Sen T, Bhattacharya S. Chemoprotective and chemosensitizing properties of selenium nanoparticle (Nano‐Se) during adjuvant therapy with cyclophosphamide in tumor‐bearing mice. Molecular and Cellular Biochemistry 2017;424(1‐2):13‐33. [PUBMED: 27696310]

Bjelakovic 2012

Bjelakovic G, Nikolova D, Gluud LL, Simonetti RG, Gluud C. Antioxidant supplements for prevention of mortality in healthy participants and patients with various diseases. Cochrane Database of Systematic Reviews 2012, Issue 3. [DOI: 10.1002/14651858.CD007176]

Bjelakovic 2014

Bjelakovic G, Gluud LL, Nikolova D, Whitfield K, Krstic G, Wetterslev J, et al. Vitamin D supplementation for prevention of cancer in adults. Cochrane Database of Systematic Reviews 2014, Issue 6. [DOI: 10.1002/14651858.CD007469.pub2]

Block 2004

Block E, Glass RS, Jacobsen NE, Johnson S, Kahakachchi C, Kaminski R, et al. Identification and synthesis of a novel selenium‐sulfur amino acid found in selenized yeast: rapid indirect detection NMR methods for characterizing low‐level organoselenium compounds in complex matrices. Journal of Agricultural and Food Chemistry 2004;52(12):3761‐71.

Bodnar 2012

Bodnar M, Konieczka P, Namiesnik J. The properties, functions, and use of selenium compounds in living organisms. Journal of Environmental Science and Health, Part C, Environmental Carcinogenesis & Ecotoxicology Reviews 2012;30(3):225‐52.

Brigelius‐Flohe 2017

Brigelius‐Flohe R, Flohe L. Selenium and redox signalling. Archives of Biochemistry and Biophysics 2017;617:48‐59. [PUBMED: 27495740]

Brinkman 2006

Brinkman M, Reulen RC, Kellen E, Buntinx F, Zeegers MP. Are men with low selenium levels at increased risk of prostate cancer?. European Journal of Cancer 2006;42(15):2463‐71.

Brodin 2015

Brodin O, Eksborg S, Wallenberg M, Asker‐Hagelberg C, Larsen EH, Mohlkert D, et al. Pharmacokinetics and toxicity of sodium selenite in the treatment of patients with carcinoma in a phase I clinical trial: the SECAR study. Nutrients 2015;7(6):4978‐94. [PUBMED: 26102212]

Bruhn 2009

Bruhn RL, Stamer WD, Herrygers LA, Levine JM, Noecker RJ. Relationship between glaucoma and selenium levels in plasma and aqueous humour. British Journal of Ophthalmology 2009;93(9):1155‐8.

Burri 2008

Burri J, Haldimann M, Dudler V. Selenium status of the Swiss population: assessment and change over a decade. Journal of Trace Elements in Medicine and Biology 2008;22(2):112‐9.

Chawla 2016

Chawla R, Loomba R, Chaudhary RJ, Singh S, Dhillon KS. Impact of high selenium exposure on organ function and biochemical profile of the rural population living in seleniferous soils in Punjab, India [2015]. Proceedings of the 4th International Conference on Selenium in the Environment and Human Health. 2015:93‐4.

Chen 2000

Chen X, Mikhail SS, Ding YW, Yang G, Bondoc F, Yang CS. Effects of vitamin E and selenium supplementation on esophageal adenocarcinogenesis in a surgical model with rats. Carcinogenesis 2000;21(8):1531‐6.

Chen 2013

Chen YC, Prabhu KS, Mastro AM. Is selenium a potential treatment for cancer metastasis?. Nutrients 2013;5(4):1149‐68. [PUBMED: 23567478]

Combs 2012

Combs GF, Jackson MI, Watts JC, Johnson LK, Zeng H, Idso J, et al. Differential responses to selenomethionine supplementation by sex and genotype in healthy adults. British Journal of Nutrition 2012;107(10):1514‐25.

Connor Gorber 2009

Connor Gorber S, Schofield‐Hurwitz S, Hardt J, Levasseur G, Tremblay M. The accuracy of self‐reported smoking: a systematic review of the relationship between self‐reported and cotinine‐assessed smoking status. Nicotine & Tobacco Research 2009;11(1):12‐24. [PUBMED: 19246437]

Cortes‐Jofre 2012

Cortes‐Jofre M, Rueda JR, Corsini‐Munoz G, Fonseca‐Cortes C, Caraballoso M, Bonfill Cosp X. Drugs for preventing lung cancer in healthy people. Cochrane Database of Systematic Reviews 2012, Issue 10. [DOI: 10.1002/14651858.CD002141.pub2]

Cui 2017a

Cui K, Li X, Du Y, Tang X, Arai S, Geng Y, et al. Chemoprevention of prostate cancer in men with high‐grade prostatic intraepithelial neoplasia (HGPIN): a systematic review and adjusted indirect treatment comparison. Oncotarget2017; Vol. 8, issue 22:36674‐84. [PUBMED: 28415774]

Cui 2017b

Cui Z, Liu D, Liu C, Liu G. Serum selenium levels and prostate cancer risk: a MOOSE‐compliant meta‐analysis. Medicine 2017;96(5):e5944. [PUBMED: 28151881]

Dalton 2008

Dalton SO, Schuz J, Engholm G, Johansen C, Kjaer SK, Steding‐Jessen M, et al. Social inequality in incidence of and survival from cancer in a population‐based study in Denmark, 1994‐2003: summary of findings. European Journal of Cancer 2008;44(14):2074‐85.

Egger 1998

Egger M, Schneider M, Davey Smith G. Spurious precision? Meta‐analysis of observational studies. British Medical Journal 1998;316(7125):140‐4.

Fairweather‐Tait 2011

Fairweather‐Tait SJ, Bao Y, Broadley MR, Collings R, Ford D, Hesketh JE, et al. Selenium in human health and disease. Antioxidants & Redox Signaling 2011;14(7):1337‐83.

Fernandes 2015

Fernandes AP, Gandin V. Selenium compounds as therapeutic agents in cancer. Biochimica et Biophysica Acta 2015;1850(8):1642‐60. [PUBMED: 25459512]

Fortmann 2013

Fortmann SP, Burda BU, Senger CA, Lin JS, Whitlock EP. Vitamin and mineral supplements in the primary prevention of cardiovascular disease and cancer: an updated systematic evidence review for the U.S. Preventive Services Task Force. Annals of Internal Medicine 2013;159(12):824‐34.

Galan‐Chilet 2017

Galan‐Chilet I, Grau‐Perez M, De Marco G, Guallar E, Martin‐Escudero JC, Dominguez‐Lucas A, et al. A gene‐environment interaction analysis of plasma selenium with prevalent and incident diabetes: the Hortega study. Redox Biology 2017;12:798‐805. [PUBMED: 28437656]

Gammelgaard 2011

Gammelgaard B, Jackson MI, Gabel‐Jensen C. Surveying selenium speciation from soil to cell ‐ forms and transformations. Analytical and Bioanalytical Chemistry 2011;399(5):1743‐63.

Gerritsen 2015

Gerritsen M, Berndt N, Lechner L, de Vries H, Mudde A, Bolman C. Self‐reporting of smoking cessation in cardiac patients: how reliable is it and is reliability associated with patient characteristics?. Journal of Addiction Medicine 2015;9(4):308‐16. [PUBMED: 26083956]

Gerstenberger 2015

Gerstenberger JP, Bauer SR, Van Blarigan EL, Sosa E, Song X, Witte JS, et al. Selenoprotein and antioxidant genes and the risk of high‐grade prostate cancer and prostate cancer recurrence. The Prostate 2015;75(1):60‐9. [PUBMED: 25284284]

Gong 2016

Gong HY, He JG, Li BS. Meta‐analysis of the association between selenium and gastric cancer risk. Oncotarget 2016;7(13):15600‐5. [PUBMED: 26862854]

Goossens 2016

Goossens ME, Zeegers MP, van Poppel H, Joniau S, Ackaert K, Ameye F, et al. Phase III randomised chemoprevention study with selenium on the recurrence of non‐invasive urothelial carcinoma. The SELEnium and BLAdder cancer Trial. European Journal of Cancer 2016;69:9‐18. [PUBMED: 27814472]

Gorlova 2006

Gorlova OY, Zhang Y, Schabath MB, Lei L, Zhang Q, Amos CI, et al. Never smokers and lung cancer risk: a case‐control study of epidemiological factors. International Journal of Cancer 2006;118(7):1798‐804.

GRADE Working Group 2004

GRADE Working Group 2004. Grading quality of evidence and strength of recommendations. BMJ 2004;328(7454):1490–4.

GRADEpro GDT [Computer program]

Hamilton (ON): McMaster University (developed by Evidence Prime), 2015. Available from gradepro.org. GRADEproGDT [Computer program]. Version accessed 10 May 2017. Hamilton (ON): McMaster University (developed by Evidence Prime), 2015. Available from gradepro.org, 2015.

Greenhalgh 2005

Greenhalgh T, Peacock R. Effectiveness and efficiency of search methods in systematic reviews of complex evidence: audit of primary sources. BMJ 2005;331(7524):1064‐5. [PUBMED: 16230312]

Guallar 2013

Guallar E, Stranges S, Mulrow C, Appel LJ, Miller ER. Enough is enough: stop wasting money on vitamin and mineral supplements. Annals of Internal Medicine 2013;159(2):850‐1.

Gundacker 2006

Gundacker C, Komarnicki G, Zodl B, Forster C, Schuster E, Wittmann K. Whole blood mercury and selenium concentrations in a selected Austrian population: does gender matter?. Science of the Total Environment 2006;372(1):76‐86.

Guyatt 2011

Guyatt GH, Oxman AD, Vist G, Kunz R, Brozek J, Alonso‐Coello P, et al. GRADE guidelines: 4. Rating the quality of evidence ‐ study limitations (risk of bias). Journal of Clinical Epidemiology 2011;64(4):407‐15. [PUBMED: 21247734]

Haldimann 1996

Haldimann M, Venner TY, Zimmerli B. Determination of selenium in the serum of healthy Swiss adults and correlation to dietary intake. Journal of Trace Elements in Medicine and Biology 1996;10(1):31‐45.

Hatfield 2014

Hatfield DL, Tsuji PA, Carlson BA, Gladyshev VN. Selenium and selenocysteine: roles in cancer, health, and development. Trends in Biochemical Sciences 2014;39(3):112‐20.

Hazane‐Puch 2013

Hazane‐Puch F, Champelovier P, Arnaud J, Garrel C, Ballester B, Faure P, et al. Long‐term selenium supplementation in HaCaT cells: importance of chemical form for antagonist (protective versus toxic) activities. Biological Trace Elements Research 2013;154(2):288‐98.

Hercberg 2004

Hercberg S, Galan P, Preziosi P, Bertrais S, Mennen L, Malvy D, et al. The SU.VI.MAX study: a randomized, placebo‐controlled trial of the health effects of antioxidant vitamins and minerals. Archives of Internal Medicine 2004;164(21):2335‐42.

Higgins 2003

Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta‐analyses. British Medical Journal 2003;327(7414):557‐60.

Higgins 2009

Higgins JPT, Thompson SG, Spiegelhalter DJ. A re‐evaluation of random‐effects meta‐analysis. Journal of the Royal Statistical Society Series A (Statistics in Society) 2009;172(1):137‐59.

Higgins 2011a

Higgins JPT, Green S, editor(s). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Available from www.cochrane‐handbook.org.

Higgins 2011b

Higgins JP, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, et al. Cochrane Bias Methods Group, Cochrane Statistical Methods Group. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. British Medical Journal 2011;343:d5928.

Hunter 1990

Hunter DJ, Morris JS, Chute CG, Kushner E, Colditz GA, Stampfer MJ, et al. Predictors of selenium concentration in human toenails. American Journal of Epidemiology 1990;132(1):114‐22.

Hurst 2013a

Hurst R, Collings R, Harvey LJ, King M, Hooper L, Bouwman J, et al. EURRECA‐estimating selenium requirements for deriving dietary reference values. Critical Reviews in Food Science and Nutrition 2013;53(10):1077‐96.

Hurst 2013b

Hurst R, Siyame EW, Young SD, Chilimba AD, Joy EJ, Black CR, et al. Soil‐type influences human selenium status and underlies widespread selenium deficiency risks in Malawi. Scientific Reports 2013;3:1425. [PUBMED: 23478344]

IARC 2014

IARC. In: Stewart BW, Wild CP editor(s). World Cancer Report 2014. Lyon, France: IARC Press, International Agency for Research on Cancer, 2014.

Institute of Medicine 2009

Institute of Medicine. Dietary reference intakes: elements. http://www.iom.edu/Object.File/Master/54/395/DRIs.Elements.pdf (accessed 18 May 2009).

Jablonska 2013

Jablonska E, Gromadzinska J, Klos A, Bertrandt J, Skibniewska K, Darago A, et al. Selenium, zinc and copper in the Polish diet. Journal of Food Composition and Analysis 2013;31(2):259–65.

Jablonska 2015a

Jablonska E, Vinceti M. Selenium and human health: witnessing a Copernican revolution?. Journal of Environmental Science and Health. Part C, Environmental Carcinogenesis & Ecotoxicology Reviews 2015;33(3):328‐68. [PUBMED: 26074278]

Jablonska 2015b

Jablonska E, Gromadzinska J, Peplonska B, Fendler W, Reszka E, Krol MB, et al. Lipid peroxidation and glutathione peroxidase activity relationship in breast cancer depends on functional polymorphism of GPX1. BMC Cancer 2015;15:657. [PUBMED: 26446998]

Jablonska 2016

Jablonska E, Raimondi S, Gromadzinska J, Reszka E, Wieczorek E, Krol MB, et al. DNA damage and oxidative stress response to selenium yeast in the non‐smoking individuals: a short‐term supplementation trial with respect to GPX1 and SEPP1 polymorphism. European Journal of Nutrition 2016;55(8):2469‐84. [PUBMED: 26658762]

Jaffé 1992

Jaffé W. Selenio, un elemento esencial y toxico. Datos de Latinoamerica. Archivos Latinoamericanos de Nutrición 1992;42(2):90‐3.

Jerome‐Morais 2011

Jerome‐Morais A, Diamond AM, Wright ME. Dietary supplements and human health: for better or for worse?. Molecular Nutrition & Food Research 2011;55(1):122‐35.

Jossa 1991

Jossa F, Trevisan M, Krogh V, Farinaro E, Giumetti D, Fusco G, et al. Serum selenium and coronary heart disease risk factors in southern Italian men. Atherosclerosis 1991;87(2‐3):129‐34.

Kafai 2003

Kafai MR, Ganji V. Sex, age, geographical location, smoking, and alcohol consumption influence serum selenium concentrations in the USA: third National Health and Nutrition Examination Survey, 1988‐1994. Journal of Trace Elements in Medicine and Biology 2003;17(1):13‐8.

Kandas 2009

Kandas NO, Randolph C, Bosland MC. Differential effects of selenium on benign and malignant prostate epithelial cells: stimulation of LNCaP cell growth by noncytotoxic, low selenite concentrations. Nutrition and Cancer 2009;61(2):251‐64.

Kant 2007

Kant AK, Graubard BI. Ethnicity is an independent correlate of biomarkers of micronutrient intake and status in American adults. Journal of Nutrition 2007;137(11):2456‐63.

Karamali 2015

Karamali M, Nourgostar S, Zamani A, Vahedpoor Z, Asemi Z. The favourable effects of long‐term selenium supplementation on regression of cervical tissues and metabolic profiles of patients with cervical intraepithelial neoplasia: a randomised, double‐blind, placebo‐controlled trial. British Journal of Nutrition 2015;114(12):2039‐45. [PUBMED: 26439877]

Karita 2003

Karita K, Sasaki S, Ishihara J, Tsugane S. Validity of a self‐administered food frequency questionnaire used in the 5‐year follow‐up survey of the JPHC Study to assess selenium intake: comparison with dietary records and blood levels. Journal of Epidemiology 2003;13(1 Suppl):S92‐7.

Kasaikina 2013

Kasaikina MV, Turanov AA, Avanesov A, Schweizer U, Seeher S, Bronson RT, et al. Contrasting roles of dietary selenium and selenoproteins in chemically induced hepatocarcinogenesis. Carcinogenesis 2013;34(5):1089‐95. [PUBMED: 23389288]

Kim 2001

Kim YY, Mahan DC. Comparative effects of high dietary levels of organic and inorganic selenium on selenium toxicity of growing‐finishing pigs. Journal of Animal Science 2001;79(4):942‐8.

Kryscio 2017

Kryscio RJ, Abner EL, Caban‐Holt A, Lovell M, Goodman P, Darke AK, et al. Association of antioxidant supplement use and dementia in the prevention of Alzheimer's disease by vitamin E and selenium trial (preadvise). JAMA Neurology 2017;74(5):567‐73. [PUBMED: 28319243]

Kushi 2012

Kushi LH, Doyle C, McCullough M, Rock CL, Demark‐Wahnefried W, Bandera EV, et al. American Cancer Society Guidelines on nutrition and physical activity for cancer prevention: reducing the risk of cancer with healthy food choices and physical activity. CA: a Cancer Journal for Clinicians 2012;62(1):30‐67. [PUBMED: 22237782]

Labunskyy 2014

Labunskyy VM, Hatfield DL, Gladyshev VN. Selenoproteins: molecular pathways and physiological roles. Physiological Reviews 2014;94(3):739‐77. [PUBMED: 24987004]

Lance 2017

Lance P, Alberts DS, Thompson PA, Fales L, Wang F, San Jose J, et al. Colorectal adenomas in participants of the select randomized trial of selenium and vitamin E for prostate cancer prevention. Cancer Prevention Research 2017;10(1):45‐54. [PUBMED: 27777235]

Langendam 2013

Langendam MW, Akl EA, Dahm P, Glasziou P, Guyatt G, Schunemann HJ. Assessing and presenting summaries of evidence in Cochrane Reviews. Systematic Reviews 2013;23(2):81.

Lawlor 2004

Lawlor DA, Davey SG, Kundu D, Bruckdorfer KR, Ebrahim S. Those confounded vitamins: what can we learn from the differences between observational versus randomised trial evidence?. Lancet 2004;363(9422):1724‐7.

Li 2012

Li S, Xiao T, Zheng B. Medical geology of arsenic, selenium and thallium in China. Science of the Total Environment 2012;421‐422:31‐40. [PUBMED: 21440288]

Longnecker 1996

Longnecker MP, Stram DO, Taylor PR, Levander OA, Howe M, Veillon C, et al. Use of selenium concentration in whole blood, serum, toenails, or urine as a surrogate measure of selenium intake. Epidemiology 1996;7(4):384‐90.

Lu 2016

Lu J, Zhang J, Jiang C, Deng Y, Ozten N, Bosland MC. Cancer chemoprevention research with selenium in the post‐SELECT era: promises and challenges. Nutrition and Cancer 2016;68(1):1‐17. [PUBMED: 26595411]

Mandrioli 2017

Mandrioli J, Michalke B, Solovyev N, Grill P, Violi F, Lunetta C, et al. Elevated levels of selenium species in cerebrospinal fluid of amyotrophic lateral sclerosis patients with disease‐associated gene mutations. Neuro‐degenerative Diseases 2017;17(4‐5):171‐80. [PUBMED: 28478440]

Marschall 2017

Marschall TA, Kroepfl N, Jensen KB, Bornhorst J, Meermann B, Kuehnelt D, et al. Tracing cytotoxic effects of small organic Se species in human liver cells back to total cellular Se and Se metabolites. Metallomics : Integrated Biometal Science 2017;9(3):268‐77. [PUBMED: 28184394]

McNaughton 2005b

McNaughton SA, Marks GC, Green AC. Role of dietary factors in the development of basal cell cancer and squamous cell cancer of the skin. Cancer Epidemiology, Biomarkers & Prevention 2005;14(7):1596‐607.

Meader 2014

Meader N, King K, Llewellyn A, Norman G, Brown J, Rodgers M, et al. A checklist designed to aid consistency and reproducibility of GRADE assessments: development and pilot validation. Systematic Reviews 2014;3:82.

Meplan 2012

Meplan C, Rohrmann S, Steinbrecher A, Schomburg L, Jansen E, Linseisen J, et al. Polymorphisms in thioredoxin reductase and selenoprotein K genes and selenium status modulate risk of prostate cancer. PloS One 2012;7(11):e48709. [PUBMED: 23133653]

Meplan 2014

Meplan C, Hesketh J. Selenium and cancer: a story that should not be forgotten‐insights from genomics. Cancer Treatment and Research 2014;159:145‐66. [PUBMED: 24114479]

Meplan 2015

Meplan C. Selenium and chronic diseases: a nutritional genomics perspective. Nutrients 2015;7(5):3621‐51. [PUBMED: 25988760]

Michalke 2017

Michalke B, Solovyev N, Vinceti M. Se‐speciation investigations at neural barrier. Se2017: The 11th International Symposium on Selenium in Biology and Medicine and the 5th International Conference on Selenium in the Environment and Human Health; August 13‐17, 2017; Stockholm (Meeting Abstract). 2017.

Misra 2015

Misra S, Boylan M, Selvam A, Spallholz JE, Bjornstedt M. Redox‐active selenium compounds ‐ from toxicity and cell death to cancer treatment. Nutrients 2015;7(5):3536‐56. [PUBMED: 25984742]

Morales 2013

Morales NA, Romano MA, Michael Cummings K, Marshall JR, Hyland AJ, Hutson A, et al. Accuracy of self‐reported tobacco use in newly diagnosed cancer patients. Cancer Causes and Control 2013;24(6):1223‐30. [PUBMED: 23553611]

Morris 2013

Morris JS, Crane SB. Selenium toxicity from a misformulated dietary supplement, adverse health effects, and the temporal response in the nail biologic monitor. Nutrients 2013;5(4):1024‐57.

Moyad 2012

Moyad MA. Heart healthy=prostate healthy: SELECT, the symbolic end of preventing prostate cancer via heart unhealthy and over anti‐oxidation mechanisms?. Asian Journal of Andrology 2012;14(2):243‐4.

Moyer 2014

Moyer VA. Vitamin, mineral, and multivitamin supplements for the primary prevention of cardiovascular disease and cancer: U.S. Preventive Services Task Force recommendation statement. Annals of Internal Medicine 2014;160(8):558‐64. [PUBMED: 24566474]

Muecke 2014

Muecke R, Micke O, Schomburg L, Glatzel M, Reichl B, Kisters K, et al. Multicenter, phase III trial comparing selenium supplementation with observation in gynecologic radiation oncology: follow‐up analysis of the survival data 6 years after cessation of randomization. Integrative Cancer Therapies 2014;13(6):463‐7. [PUBMED: 25015649]

National Toxicology Program 2011

National Toxicology Program. Selenium sulfide. Report on carcinogens: carcinogen profiles/U.S. Dept. of Health and Human Services, Public Health Service, National Toxicology Program 2011;12:376‐7.

Nishino 2001

Nishino Y, Tsubono Y, Tsuji I, Komatsu S, Kanemura S, Nakatsuka H, et al. Passive smoking at home and cancer risk: a population‐based prospective study in Japanese nonsmoking women. Cancer Causes and Control 2001;12(9):797‐802.

Niskar 2003

Niskar AS, Paschal DC, Kieszak SM, Flegal KM, Bowman B, Gunter EW, et al. Serum selenium levels in the US population: Third National Health and Nutrition Examination Survey, 1988‐1994. Biological Trace Element Research 2003;91(1):1‐10.

Novoselov 2005

Novoselov SV, Calvisi DF, Labunskyy VM, Factor VM, Carlson BA, Fomenko DE, et al. Selenoprotein deficiency and high levels of selenium compounds can effectively inhibit hepatocarcinogenesis in transgenic mice. Oncogene 2005;24(54):8003‐11.

Office of Dietary Supplements 2009

Office of Dietary Supplements, NIH Clinical Centers, National Institutes of Health. Dietary Supplement Fact Sheet: Selenium. http://ods.od.nih.gov/factsheets/selenium.asp (accessed 18 May 2009).

Ovaskainen 1993

Ovaskainen ML, Virtamo J, Alfthan G, Haukka J, Pietinen P, Taylor PR, et al. Toenail selenium as an indicator of selenium intake among middle‐aged men in an area with low soil selenium. American Journal of Clinical Nutrition 1993;57(5):662‐5.

Panter 1996

Panter KE, Hartley WJ, James LF, Mayland HF, Stegelmeier BL, Kechele PO. Comparative toxicity of selenium from seleno‐DL‐methionine, sodium selenate, and Astragalus bisulcatus in pigs. Fundamental and Applied Toxicology 1996;32(2):217‐23.

Pearce 2004

Pearce N. The globalization of epidemiology: introductory remarks. International Journal of Epidemiology 2004;33(5):1127‐31.

Penney 2010

Penney KL, Schumacher FR, Li H, Kraft P, Morris JS, Kurth T, et al. A large prospective study of SEP15 genetic variation, interaction with plasma selenium levels, and prostate cancer risk and survival. Cancer Prevention Research (Philadelphia, Pa.) 2010;3(5):604‐10. [PUBMED: 20424130]

Penney 2013

Penney KL, Li H, Mucci LA, Loda M, Sesso HD, Stampfer MJ, et al. Selenoprotein P genetic variants and mrna expression, circulating selenium, and prostate cancer risk and survival. The Prostate 2013;73(7):700‐5. [PUBMED: 23129481]

Pestitschek 2013

Pestitschek M, Sonneck‐Koenne C, Zakavi SR, Li S, Knoll P, Mirzaei S. Selenium intake and selenium blood levels: a novel food frequency questionnaire. Wiener Klinische Wochenschrift 2013;125(5‐6):160‐4.

Pildal 2007

Pildal J, Hrobjartsson A, Jorgensen KJ, Hilden J, Altman DG, Gotzsche PC. Impact of allocation concealment on conclusions drawn from meta‐analyses of randomized trials. International Journal of Epidemiology 2007;36(4):847‐57.

Posadzki 2013

Posadzki P, Lee MS, Onakpoya I, Lee HW, Ko BS, Ernst E. Dietary supplements and prostate cancer: a systematic review of double‐blind, placebo‐controlled randomised clinical trials. Maturitas 2013;75(2):125‐30. [PUBMED: 23567264]

Ramamoorthy 2015

Ramamoorthy V, Rubens M, Saxena A, Shehadeh N. Selenium and vitamin E for prostate cancer ‐ justifications for the SELECT study. Asian Pacific Journal of Cancer Prevention 2015;16(7):2619‐27. [PUBMED: 25854337]

Rapiti 2009

Rapiti E, Fioretta G, Schaffar R, Neyroud‐Caspar I, Verkooijen HM, Schmidlin F, et al. Impact of socioeconomic status on prostate cancer diagnosis, treatment, and prognosis. Cancer 2009;115(23):5556‐65.

Ravn‐Haren 2008

Ravn‐Haren G, Bugel S, Krath BN, Hoac T, Stagsted J, Jorgensen K, et al. A short‐term intervention trial with selenate, selenium‐enriched yeast and selenium‐enriched milk: effects on oxidative defence regulation. The British journal of nutrition 2008;99(4):883‐92. [PUBMED: 17888202]

Rayman 2004

Rayman MP. The use of high‐selenium yeast to raise selenium status: how does it measure up?. British Journal of Nutrition 2004;92(4):557‐73.

Rayman 2008

Rayman MP. Food‐chain selenium and human health: emphasis on intake. British Journal of Nutrition 2008;100(2):254‐68.

Rayman 2009

Rayman MP, Combs GF, Waters DJ. Selenium and vitamin E supplementation for cancer prevention. JAMA2009; Vol. 301, issue 18:1876; author reply 1877. [PUBMED: 19436009]

Rayman 2012

Rayman MP. Selenium and human health. Lancet 2012;379(9822):1256‐68.

Rees 2013

Rees K, Hartley L, Day C, Flowers N, Clarke A, Stranges S. Selenium supplementation for the primary prevention of cardiovascular disease. Cochrane Database of Systematic Reviews 2013;1:CD009671.

Review Manager 2014 [Computer program]

Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014. Review Manager 5 (RevMan 5) [Computer program]. Version 5.3. Copenhagen: Nordic Cochrane Centre, The Cochrane Collaboration, 2014, 2014.

Riboli 2002

Riboli E, Hunt KJ, Slimani N, Ferrari P, Norat T, Fahey M, et al. European prospective investigation into cancer and nutrition (epic): study populations and data collection. Public Health Nutrition 2002;5(6B):1113‐24. [PUBMED: 12639222]

Richie 2014

Richie JP, Das A, Calcagnotto AM, Sinha R, Neidig W, Liao J, et al. Comparative effects of two different forms of selenium on oxidative stress biomarkers in healthy men: a randomized clinical trial. Cancer prevention research (Philadelphia, Pa.) 2014;7(8):796‐804. [PUBMED: 24938534]

Rocourt 2013

Rocourt CR, Cheng WH. Selenium supranutrition: are the potential benefits of chemoprevention outweighed by the promotion of diabetes and insulin resistance?. Nutrients 2013;5(4):1349‐65.

Rodriguez 1995

Rodriguez Rodriguez EM, Sanz Alaejos MT, Diaz Romero C. Urinary selenium status of healthy people. European Journal of Clinical Chemistry and Clinical Biochemistry 1995;33(3):127‐33.

Rose 2014

Rose AH, Bertino P, Hoffmann FW, Gaudino G, Carbone M, Hoffmann PR. Increasing dietary selenium elevates reducing capacity and ERK activation associated with accelerated progression of select mesothelioma tumors. American Journal of Pathology 2014;184(4):1041‐9.

Sacco 2013

Sacco JE, Dodd KW, Kirkpatrick SI, Tarasuk V. Voluntary food fortification in the United States: potential for excessive intakes. European Journal of Clinical Nutrition 2013;67(6):592‐7.

Sandsveden 2017

Sandsveden M, Manjer J. Selenium and breast cancer risk: a prospective nested case‐control study on serum selenium levels, smoking habits and overweight. International Journal of Cancer 2017;141(8):1741‐50. [PUBMED: 28681438]

Satia 2006

Satia JA, King IB, Morris JS, Stratton K, White E. Toenail and plasma levels as biomarkers of selenium exposure. Annals of Epidemiology 2006;16(1):53‐8.

Schrauzer 1977

Schrauzer GN, White DA, Schneider CJ. Cancer mortality correlation studies ‐ III: statistical associations with dietary selenium intakes. Biological Chemistry 1977;7(1):23‐31.

Schwingshackl 2017

Schwingshackl L, Schwedhelm C, Hoffmann G, Lampousi AM, Knuppel S, Iqbal K, et al. Food groups and risk of all‐cause mortality: a systematic review and meta‐analysis of prospective studies. American Journal of Clinical Nutrition 2017;105(6):1462‐73. [PUBMED: 28446499]

Shamberger 1969

Shamberger RJ, Frost DV. Possible protective effect of selenium against human cancer. Canadian Medical Association Journal 1969;100(14):682.

Shigemi 2017

Shigemi Z, Manabe K, Hara N, Baba Y, Hosokawa K, Kagawa H, et al. Methylseleninic acid and sodium selenite induce severe ER stress and subsequent apoptosis through UPR activation in PEL cells. Chemico‐biological Interactions 2017;266:28‐37. [PUBMED: 28161410]

Slattery 2012

Slattery ML, Lundgreen A, Welbourn B, Corcoran C, Wolff RK. Genetic variation in selenoprotein genes, lifestyle, and risk of colon and rectal cancer. PloS One 2012;7(5):e37312. [PUBMED: 22615972]

Slavik 2008

Slavik P, Illek J, Brix M, Hlavicova J, Rajmon R, Jilek F. Influence of organic versus inorganic dietary selenium supplementation on the concentration of selenium in colostrum, milk and blood of beef cows. Acta Veterinaria Scandinavica 2008;50:43.

Smith 2000

Smith AM, Chang MP, Medeiros LC. Generational differences in selenium status of women. Biological Trace Element Research 2000;75(1‐3):157‐65.

Solovyev 2013

Solovyev N, Berthele A, Michalke B. Selenium speciation in paired serum and cerebrospinal fluid samples. Analytical and Bioanalytical Chemistry 2013;405(6):1875‐84.

Steen 2008

Steen A, Strom T, Bernhoft A. Organic selenium supplementation increased selenium concentrations in ewe and newborn lamb blood and in slaughter lamb meat compared to inorganic selenium supplementation. Acta Veterinaria Scandinavica 2008;50:7.

Steinbrenner 2013

Steinbrenner H, Speckmann B, Sies H. Toward understanding success and failures in the use of selenium for cancer prevention. Antioxidants & Redox Signaling 2013;19(2):181‐91.

Stranges 2007

Stranges S, Marshall JR, Natarajan R, Donahue RP, Trevisan M, Combs GF, et al. Effects of long‐term selenium supplementation on the incidence of type 2 diabetes: a randomized trial. Annals of Internal Medicine 2007;147(4):217‐23.

Stranges 2010

Stranges S, Sieri S, Vinceti M, Grioni S, Guallar E, Laclaustra M, et al. A prospective study of dietary selenium intake and risk of type 2 diabetes. BMC Public Health 2010;10:564.

Stratton 2010

Stratton MS, Algotar AM, Ranger‐Moore J, Stratton SP, Slate EH, Hsu CH, et al. Oral selenium supplementation has no effect on prostate‐specific antigen velocity in men undergoing active surveillance for localized prostate cancer. Cancer Prevention Research (Philadelphia, Pa.) 2010;3(8):1035‐43. [PUBMED: 20647337]

Su 2005

Su YP, Tang JM, Tang Y, Gao HY. Histological and ultrastructural changes induced by selenium in early experimental gastric carcinogenesis. World Journal of Gastroenterology 2005;11(29):4457‐60.

Su 2016

Su LQ, Jin YL, Unverzagt FW, Cheng YB, Hake AM, Ran L, et al. Nail selenium level and diabetes in older people in rural China. Biomedical and Environmental Sciences 2016;29(11):818‐24. [PUBMED: 27998388]

Takata 2011

Takata Y, Kristal AR, King IB, Song X, Diamond AM, Foster CB, et al. Serum selenium, genetic variation in selenoenzymes, and risk of colorectal cancer: primary analysis from the Women's Health Initiative Observational Study and Meta‐analysis. Cancer Epidemiology, Biomarkers & Prevention 2011;20(9):1822‐30. [PUBMED: 21765007]

Thompson 2016

Thompson PA, Ashbeck EL, Roe DJ, Fales L, Buckmeier J, Wang F, et al. Selenium supplementation for prevention of colorectal adenomas and risk of associated type 2 diabetes. Journal of the National Cancer Institute 2016;108(12):djw152. [PUBMED: 27530657]

Tiwary 2006

Tiwary AK, Stegelmeier BL, Panter KE, James LF, Hall JO. Comparative toxicosis of sodium selenite and selenomethionine in lambs. Journal of Veterinary Diagnostic Investigation 2006;18(1):61‐70.

Tsubota‐Utsugi 2012

Tsubota‐Utsugi M, Imai E, Nakade M, Tsuboyama‐Kasaoka N, Morita A, Tokudome S. Dietary Reference Intakes for Japanese: the summary report from the Scientific Committee of “Dietary Reference intakes for Japanese 2010”. National Institute of Health and Nutrition (http://www.mhlw.go.jp/bunya/kenkou/sessyu‐kijun.html [Report in Japanese] 2012).

Tsuji 2015

Tsuji PA, Carlson BA, Anderson CB, Seifried HE, Hatfield DL, Howard MT. Dietary selenium levels affect selenoprotein expression and support the interferon‐gamma and IL‐6 immune response pathways in mice. Nutrients 2015;7(8):6529‐49. [PUBMED: 26258789]

Vinceti 1998

Vinceti M, Rothman KJ, Bergomi M, Borciani N, Serra L, Vivoli G. Excess melanoma incidence in a cohort exposed to high levels of environmental selenium. Cancer Epidemiology, Biomarkers & Prevention 1998;7(10):853‐6.

Vinceti 2000

Vinceti M, Rovesti S, Bergomi M, Vivoli G. The epidemiology of selenium and human cancer. Tumori 2000;86(2):105‐18.

Vinceti 2001

Vinceti M, Wei ET, Malagoli C, Bergomi M, Vivoli G. Adverse health effects of selenium in humans. Reviews on Environmental Health 2001;16(4):233‐51.

Vinceti 2009

Vinceti M, Maraldi T, Bergomi M, Malagoli C. Risk of chronic low‐dose selenium overexposure in humans: insights from epidemiology and biochemistry. Reviews on Environmental Health 2009;24(3):231‐48.

Vinceti 2012

Vinceti M, Crespi CM, Malagoli C, Bottecchi I, Ferrari A, Sieri S, et al. A case‐control study of the risk of cutaneous melanoma associated with three selenium exposure indicators. Tumori 2012;98(3):287‐95.

Vinceti 2013a

Vinceti M, Crespi CM, Bonvicini F, Malagoli C, Ferrante M, Marmiroli S, et al. The need for a reassessment of the safe upper limit of selenium in drinking water. Science of the Total Environment 2013;443:633‐42.

Vinceti 2013b

Vinceti M, Crespi CM, Malagoli C, Del Giovane C, Krogh V. Friend or foe? The current epidemiologic evidence on selenium and human cancer risk. Journal of Environmental Science and Health, Part C, Environmental Carcinogenesis & Ecotoxicology Reviews 2013;31(4):305‐41.

Vinceti 2013c

Vinceti M, Solovyev N, Mandrioli J, Crespi CM, Bonvicini F, Arcolin E, et al. Cerebrospinal fluid of newly diagnosed amyotrophic lateral sclerosis patients exhibits abnormal levels of selenium species including elevated selenite. Neurotoxicology 2013;38:25‐32.

Vinceti 2014a

Vinceti M, Mandrioli J, Borella P, Michalke B, Tsatsakis A, Finkelstein Y. Selenium neurotoxicity in humans: bridging laboratory and epidemiologic studies. Toxicology Letters2014; Vol. 230:295‐303.

Vinceti 2015

Vinceti M, Grioni S, Alber D, Consonni D, Malagoli C, Agnoli C, et al. Toenail selenium and risk of type 2 diabetes: the ORDET cohort study. Journal of Trace Elements in Medicine and Biology 2015;29:145‐50. [PUBMED: 25169979]

Vinceti 2016a

Vinceti M, Rothman KJ. More results but no clear conclusion on selenium and cancer. American Journal of Clinical Nutrition 2016;104(2):245‐6. [PUBMED: 27413135]

Vinceti 2016b

Vinceti M, Ballotari P, Steinmaus C, Malagoli C, Luberto F, Malavolti M, et al. Long‐term mortality patterns in a residential cohort exposed to inorganic selenium in drinking water. Environmental Research 2016;150:348‐56. [PUBMED: 27344266]

Vinceti 2017a

Vinceti M, Filippini T, Cilloni S, Bargellini A, Vergoni AV, Tsatsakis A, et al. Health risk assessment of environmental selenium: emerging evidence and challenges (Review). Molecular Medicine Reports 2017;15:3323‐35. [PUBMED: 28339083]

Vinceti 2017b

Vinceti M, Filippini T, Cilloni S, Crespi CM. The epidemiology of selenium and human cancer. Advances in Cancer Research 2017;136:1‐48.

Vinceti 2017c

Vinceti M, Filippini T, Cilloni S, Platt J, Jess C. Implications of different methods for literature searching and assessment in systematic reviews and meta‐analyses: a case study. Global Evidence Summit: Using evidence ‐ Improving lives; September 13‐16, 2017; Cape Town (Meeting Abstract). 2017.

Vinceti 2017d

Vinceti M, Chiari A, Eichmüller M, Rothman KJ, Filippini T, Malagoli C, et al. A selenium species in cerebrospinal fluid predicts conversion to Alzheimer'sdementia in persons with mild cognitive impairment. Alzheimers Res Ther 2017;9(1):100.

Visser 2017

Visser ME, Durao S, Sinclair D, Irlam JH, Siegfried N. Micronutrient supplementation in adults with HIV infection. Cochrane Database of Systematic Reviews 2017;5:CD003650. [PUBMED: 28518221]

Waters 2004

Waters DJ, Chiang EC, Cooley DM, Morris JS. Making sense of sex and supplements: differences in the anticarcinogenic effects of selenium in men and women. Mutation Research 2004;551(1‐2):91‐107.

Waters 2013

Waters DJ, Shen S, Kengeri SS, Chiang EC, Combs GF, Morris JS, Bostwick DG. Toward interpreting the null results of SELECT: Direct comparison of the prostatic tissue potency of Supranutritional Selenomethionine vs. Selenium‐yeast on markers of prostatic homeostasis and cancer risk reduction. Proceedings of the 10th International Symposium on Selenium in Biology and Medicine. Berlin: Deutsche Forschungsgemeinschaft, 2013:62.

Weekley 2013

Weekley CM, Aitken JB, Finney L, Vogt S, Witting PK, Harris HH. Selenium metabolism in cancer cells: the combined application of XAS and XFM techniques to the problem of selenium speciation in biological systems. Nutrients 2013;5(5):1734‐56.

Wells 2004

Wells GA, Shea B, O´Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle‐Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta‐analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm. Ottawa, (accessed 1 April 2004).

WHO 2004

Joint FAO/WHO Expert Consultation on Human Vitamin, Mineral Requirements. Vitamin and mineral requirements in human nutrition: report of a joint FAO/WHO expert consultation; Bangkok, Thailand; 21‐30 September 1998. http://whqlibdoc.who.int/publications/2004/9241546123.pdf (accessed 9 March 2011). World Health Organization (WHO), 2004.

WHO 2017

WHO. Cancer fact sheet. http://www.who.int/mediacentre/factsheets/fs297/en/ (accessed 6 November 2017). e.

Wichman 2016

Wichman J, Winther KH, Bonnema SJ, Hegedus L. Selenium supplementation significantly reduces thyroid autoantibody levels in patients with chronic autoimmune thyroiditis: a systematic review and meta‐analysis. Thyroid 2016;26(12):1681‐92. [PUBMED: 27702392]

Wood 2008

Wood L, Egger M, Gluud LL, Schulz KF, Juni P, Altman DG, et al. Empirical evidence of bias in treatment effect estimates in controlled trials with different interventions and outcomes: meta‐epidemiological study. British Medical Journal 2008;336(7644):601‐5.

Zeng 2005

Zeng H, Uthus EO, Combs GF. Mechanistic aspects of the interaction between selenium and arsenic. Journal of Inorganic Biochemistry 2005;99(6):1269‐74.

Zhou 2013

Zhou J, Huang K, Lei XG. Selenium and diabetes ‐ evidence from animal studies. Free Radical Biology & Medicine 2013;65:1548‐56. [PUBMED: 23867154]

Zwolak 2012

Zwolak I, Zaporowska H. Selenium interactions and toxicity: a review. Cell Biology and Toxicology 2012;28(1):31‐46.

References to other published versions of this review

Dennert 2005

Dennert G, Zwahlen M, Brinkman M, Vinceti M, Zeegers MPA, Horneber M. Selenium for preventing cancer. Cochrane Database of Systematic Reviews 2005, Issue 2. [DOI: 10.1002/14651858.CD005195]

Dennert 2011

Dennert G, Zwahlen M, Brinkman M, Vinceti M, Zeegers MP, Horneber M. Selenium for preventing cancer. Cochrane Database of Systematic Reviews 2011, Issue 5. [DOI: 10.1002/14651858.CD005195]

Vinceti 2014

Vinceti M, Dennert G, Crespi CM, Zwahlen M, Brinkman M, Zeegers MP, et al. Selenium for preventing cancer. Cochrane Database of Systematic Reviews 2014, Issue 3. [DOI: 10.1002/14651858.CD005195.pub3; PUBMED: 24683040]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Agalliu 2011

Methods

Nested case‐cohort study

Country: Canada

Participants

Name of parent cohort: Canadian Study of Diet, Lifestyle and Health (CSDLH)
Participants: 22,975 (alumni associations of the University of Western Ontario, 67% of 34,291)

Recruitment: between 1995 and 1998
Outcome assessment: December 2003

Number of cases: 
• Prostate cancer: 661

Case definition: incidence

Years of follow‐up: 4.3 to 7.7 mean

Type of selenium marker: supplementation

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model
Variables controlled in analysis: age at baseline, race, BMI, exercise activity, education

Risk estimates [95% CI]

Reference category: zero

Results:
Prostate cancer                   
• Highest quartile: HR 0.76 (95% CI 0.43 to 1.33)

Selenium levels in exposure categories

Lowest quartile (median value): 15.7 µg
Highest quartile (median value): 105.0 µg 

Notes

Akbaraly 2005

Methods

Cohort/subcohort controlled cohort study

Country: France

Participants

Name of parent cohort: Etude du Vieillissement Antériel Study (EVA study)
Participants: 1389 (41% male, 59% female)
Inclusion criteria: 59 to 71 years of age; residents of Nantes; able to undergo examination at study centre

Recruitment: 1991 to 1993
Outcome assessment: December 2001

Number of cases: 
• Any cancer: 45 (male/female: n.r.)

Case definition: mortality

Years of follow‐up: 9.0

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model
Variables controlled in analysis: gender, smoking, alcohol intake, medication use, obesity, diabetes mellitus, hypertension, CVD, age, education, dyslipidaemia, low cognitive function

Risk estimates [95% CI]

Reference category: highest quartile

Results:
Any cancer                   
• Both genders: lowest quartile: RR 4.06 (95% CI 1.51 to 10.92)

Selenium levels in exposure categories

Lowest quartile: 14.2 to 75.0 µg/L
Highest quartile: 96.3 to 155.6 µg/L 

Notes

Algotar 2013

Methods

Randomised controlled trial

Allocation: random

Sequence generation: unclear

Concealment: Study agent (2 doses) and matched placebo caplets were coated with titanium oxide to ensure identical appearance, weight, taste, and smell.

Blinding: described only as double‐blinded

Dropouts/withdrawals: Study dropout percentage was 34.1%, 41.9%, and 40.8% for placebo, 200 mg/d selenium group, and 400 mg/d selenium group, respectively (P = 0.173).

Intention‐to‐treat‐analysis: yes

Recruitment period: not specified

Treatment duration: not specified

Observation period/dermatological follow‐up:

Participants were followed every 6 months for up to 5 years.

Detection of cases: Tissue samples from participants' qualifying biopsies were requested by participants' physicians and were compiled in a biospecimen repository.

Informed consent: An external Data and Safety Monitoring Committee (DSMC) was established before study initiation. This committee was responsible for reviewing protocol amendments, consent forms, accrual and retention rates, adverse events, and data analysis reports.

Participants

699 male participants with a negative prostate biopsy

Countries: United States, New Zealand

Participants: 699 (randomised to selenium 200 µg/d: 234; to selenium 400 µg/d: 233; to placebo: 233)

Condition: male patients at high risk for prostate cancer (prostate‐specific antigen (PSA) > 4 ng/mL and/or suspicious digital rectal examination and/or PSA velocity > 0.75 ng/mL/y), but with a negative prostate biopsy

Demographics: mean age 65.2 ± SD 8 years (selenium 200 µg/d), 65.5 ± 7.7 years (selenium 400 µg/d), 65.5 ± 7.4 years (placebo)

Recruitment and setting: urology offices at 20 sites in the United States and New Zealand

Interventions

Intervention:

• 200 µg/d selenium supplied as selenium yeast

• 400 µg/d selenium supplied as selenium yeast

Control: placebo

Recruitment: not reported

End of blinded treatment period: For participants in the United States, participation was complete at 5 years, whereas those in New Zealand received intervention for no longer than 3 years.

Outcomes

Primary outcome measure:

• Incidence of biopsy‐proven prostate cancer over the course of the study

Other reported outcomes:

• Secondary endpoint was rate of change of PSA over time (i.e. PSA velocity) based on biannual PSA measurements.

Risk estimates [95% CI]

Primary outcomes:

• Hazard ratios for risk of developing prostate cancer in the selenium 200‐µg/d or the selenium 400‐µg/d group were 0.94 (95% CI 0.52 to 1.7) and 0.90 (95% CI 0.48 to 1.70), respectively.

Other reported outcomes:

• PSA velocity in the selenium arms was not significantly different from that observed in the placebo group (P = 0.18 and P = 0.17, respectively).

Selenium levels in exposure categories

d.n.a.

Notes

The DSMC recommended that the trial be stopped before all participants completed the full intervention duration.

Adverse effects: No significant differences were seen in the incidences of cataract/glaucoma or in hair/nail changes in the 3 treatment groups.

HR: adjusted for age at baseline, baseline PSA, baseline selenium concentrations

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Number‐based stratified randomisation

Allocation concealment (selection bias)

Low risk

Treatments and placebo tablets of identical appearance and taste

Blinding (performance bias and detection bias)
All outcomes

Low risk

Identical appearance, weight, taste, and smell of tablets for treatments and placebo

Selective reporting (reporting bias)

Low risk

No problems found

Allen 2008

Methods

Matched, nested case‐control study

Countries: Denmark, Germany, Greece, Italy, the Netherlands, Spain, Sweden, the UK

Participants

Participants: approximately 130,000 men
Inclusion criteria: male participants from the EPIC study

Name of parent cohort: European Prospective Investigation into Cancer and Nutrition (EPIC)

Recruitment: 1992 to 2000
Outcome assessment: at each country's study closure date (between June 1999 and January 2003)

Number of cases:
• Prostate cancer: 959 (male/female: 959/0) 

Case definition: incidence

Years of follow‐up: median 2.6 (Greece) to 9.2 (Sweden)

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: BMI, smoking, alcohol consumption, physical activity, marital status, education

Variables controlled by matching: age, study centre, time of day of blood collection, time between blood collection and last meal, sex

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Prostate cancer
• Highest quintile: OR 0.96 (95% CI 0.70 to 1.31)

Selenium levels in exposure categories

Lowest quintile < 62.0 µg/L

Highest quintile ≥ 84.1 µg/L

Notes

Banim 2013

Methods

Nested case‐cohort study

Country: UK

Participants

Participants: 23,658 men and women

Inclusion criteria: aged 40 to 74, resident in Norfolk county, registered at 35 general practices in rural, suburban, and inner city areas, no history of pancreatic cancer at enrolment or within 12 months of entering the study

Name of parent cohort: European Prospective Investigation of Cancer‐Norfolk Study (EPIC‐Norfolk)

Recruitment: 1993 to 1997

Case definition: incidence

Type of selenium marker: intake

Banim 2013:

Outcome assessment: June 2010

Number of cases:
• Pancreatic cancer: 86 (male/female: 38/48)

Years of follow‐up: 17

Barrass 2013:

Outcome assessment: December 2010

Number of cases:
• Renal cell carcinoma: 65 (male/female: n.r.)

Years of follow‐up: not reported (probably 17)

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, sex, smoking, diabetes, total energy intake, body mass index category, respective antioxidant supplement (only Banim 2013)

Risk estimates [95% CI]

Reference category: lowest quartile, lowest quintile

Results:

Banim 2013:
• Pancreatic cancer: highest quartile: HR 0.72 (95% CI 0.36 to 1.43)

Barrass 2013:

• Renal cell cancer: highest quintile: HR 0.40 (95% CI 0.17 to 0.98)

Selenium levels in exposure categories

Banim 2013:

• Lowest quartile < 43.6 µg/d
• Highest quartile ≥ 72.0 µg/d

Barrass 2013:

• Lowest and highest quintiles not reported

Notes

Bleys 2008

Methods

Cohort study

Country: United States

Participants

Name of parent cohort: Third National Health and Nutrition Examination Survey (NHANES III)

Inclusion criteria: male and female adults, aged 20 to 90 years, participating in the NHANES III: "stratified, multistage probability cluster to provide data representing the noninstitutionalized US population" (Bleys 2008, p. 404)

Recruitment: 1988 to 1994

Participants: 13,887 men and women

Outcome assessment: 15 December 2000

Number of cases:
• Cancer deaths: 457 (male/female: n.r.)

Case definition: mortality

Years of follow‐up: 6 to 12

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 457 (male/female: n.r.)

Statistical methods: Cox proportional hazard regression
Variables controlled in analysis: age, sex, race, education, annual family income, postmenopausal status (women), cigarette smoking, serum cotinine level, alcohol consumption

Risk estimates [95% CI]

Reference category: lowest tertile

Results:
Cancer deaths
• Both genders: highest tertile: HR 0.69 (95% CI 0.53 to 0.90)
• Both genders: highest tertile: HR 0.68 (95% CI 0.48 to 0.97); cases at baseline excluded

Selenium levels in exposure categories

Lowest tertile < 117.31 µg/L
Highest tertile ≥ 130.39 µg/L

Notes

Updated results with longer follow‐up for the same population reported in Goyal 2013

Brooks 2001

Methods

Matched, nested case‐control study

Country: United States

Participants

Name of parent cohort: Baltimore Longitudinal Study of Aging
Participants: 1555 men
Inclusion criteria: n.r.

Recruitment: n.r.
Outcome assessment: n.r.

Number of cases:
• Prostate cancer: 52 (male/female: 52/0)

Case definition: incidence

Years of follow‐up: n.r.

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysed cases: 52 of 133 (reason for non‐inclusion: plasma and/or histological confirmation of diagnosis not available)
Statistical methods: logistical regression
Variables controlled in analysis: years between blood donation and diagnosis/follow‐up, age, age by years before diagnosis interaction, BMI, smoking history, alcohol use
Variables controlled by matching: age

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Prostate cancer  
• Highest quartile: OR 0.24 (95% CI 0.07 to 0.77)

Selenium levels in exposure categories

Lowest quartile: 82 to 107 µg/L
Highest quartile: 133 to 182 µg/L

Notes

Clark 1985

Methods

Cohort/subcohort controlled cohort study

Country: United States

Participants

Participants: 177; no information on gender
Inclusion criteria: persons at high risk of non‐melanoma skin cancer

Recruitment: n.r.
Outcome assessment: n.r.

Number of cases:
• Skin (non‐melanoma): 19 (male/female: n.r.) 

Case definition: incidence

Years of follow‐up: mean 3

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model

Risk estimates [95% CI]

Reference category: lower half

Results:
Skin (non‐melanoma)  
• Sex n.r.: higher half: RR 0.77 (CI not reported)

Selenium levels in exposure categories

n.r.

Notes

Coates 1988

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 6167; both genders
Inclusion criteria: employees of 2 Seattle companies

Recruitment: 1972 to 1973 and 1976
Outcome assessment: not stated

Number of cases:
• Any cancer: 154 (male/female: n.r.)
• Gastrointestinal cancer: 28 (male/female: n.r.)
• Breast cancer: 20 (male/female: 0/20)
• Prostate cancer: 13 (male/female: 13/0)
• Haematological cancers: 12 (male/female: n.r.)
• Cervical cancer: 12 (male/female: 0/12)
• Lung cancer: 11 (male/female: n.r.)
• Other: 58 (male/female: n.r.)

Case definition: incidence

Years of follow‐up: n.r.

Type of selenium marker: serum and plasma

Interventions

d.n.a.

Outcomes

Analysed cases: 154 (133 serum, 21 plasma) of 195 collected (reason for non‐inclusion: no sample available for analysis or no control available)
Statistical methods: conditional logistic regression
Variables controlled by matching: age, gender, race/ethnicity, year/month of sample collection, employer, plasma or serum sample

Risk estimates [95% CI]

Reference category: lowest

Results:
Any cancer  
• Both genders: highest quintile: OR 1.0 (95% CI 0.5 to 1.8)
Gastrointestinal cancer
• Both genders: highest tertile: OR 1.0 (CI not reported)
Breast cancer  
Highest tertile: OR 3.4 (CI not reported)
Prostate cancer  
Highest tertile: OR 0.3 (CI not reported)
Haematological cancers 
Both genders: highest tertile: OR 0.6 (CI not reported)
Cervical cancer 
Highest tertile: OR 1.1 (CI not reported)
Lung cancer  
Both genders: highest tertile: OR 0.8 (CI not reported)
Other cancers
Both genders: highest tertile: OR 0.9 (CI not reported)

Selenium levels in exposure categories

Serum:
• Lowest quintile: 98 to 142 µg/L
• Highest quintile: 181 to 240 µg/L
• Lowest tertile: 98 to 148 µg/L
• Highest tertile: 171 to 240 µg/L

Plasma:
• Lowest quintile: 115 to 129 µg/L
• Highest quintile: 157 to 207 µg/L
• Lowest tertile: 115 to 137 µg/L
• Highest tertile: 151 to 207 µg/L

Notes

Primary publication:Coates 1988
Secondary publication: Coates 1987

Combs 1993

Methods

Cohort/subcohort controlled cohort study

Country: United States

Participants

Participants: 1239 men and women
Inclusion criteria: participants from the NPCT with valid selenium measurement at baseline
Name of parent cohort: Nutritional Prevention of Cancer Trial (NPCT)

Recruitment: see: Nutritional Prevention of Cancer Trial
Outcome assessment: not stated

Number of cases:
• Squamous cell cancer: 204 (male/female: n.r.)

Case definition: incidence

Years of follow‐up: 2

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model
Variables controlled in analysis: age, gender, current smoking, alcohol drinking

Risk estimates [95% CI]

Reference category (unadjusted RR): lower half

Results:
Squamous cell cancer
• Both genders: higher half: unadjusted RR 0.69 (95% CI 0.51 to 0.92)
• Both genders: "interquartile contrast" (high vs low), adjusted RR 0.79 (95% CI 0.67 to 0.94)

Selenium levels in exposure categories

Lower half: ≤ 114.00 µg/L
Higher half: ≥ 114.10 µg/L

Notes

Comstock 1997

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 44,960 men and women (20,305 from CLUE I; 24,655 from CLUE II)
Inclusion criteria: residents of Washington County
Name of parent cohort: CLUE I and II Cohort

Recruitment: 1974/75 or 1989
Outcome assessment: n.r.

Number of cases:
• Lung cancer: 258 (male/female: 157/101)

Case definition: incidence

Years of follow‐up: n.r.

Type of selenium marker: serum/plasma

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled by matching: age, gender, race/ethnicity, year and month of sample collection, participant of Clue I or Clue II cohort

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Lung cancer  
• Both genders: highest quintile: OR 0.65 (CI n.r.)

Selenium levels in exposure categories

n.r.

Notes

Dong 2008

Methods

Cohort study

Country: United States

Participants

Participants: 339 (male/female: 275/64)
Inclusion criteria: participants from a surveillance programme for men and women with Barrett's oesophagus, no prior history of oesophageal cancer or diagnosis of cancer within first 3 months of baseline

Name of parent cohort: Seattle Barrett's Esophagus Program

Recruitment: 1983 to 2004, baseline assessment for this study: 1 February 1995 to 1 July 2004
Outcome assessment: n.r.

Number of cases: oesophageal adenocarcinoma: 37 (male/female: 32/5)

Case definition: incidence

Years of follow‐up: mean: 5

Type of selenium marker: intake of selenium supplements (self‐administered food frequency questionnaire)

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard regression
Variables controlled in analysis: age, sex, fruit and vegetable consumption, per cent energy from fat, waist‐hip ratio, cigarette smoking, non‐steroidal anti‐inflammatory drug use

Risk estimates [95% CI]

Reference category: no supplemental selenium intake (lowest exposure category)

Results:
• Both genders: supplement intake ≥ 50 µg/d: HR 0.27 (95% CI 0.03 to 2.21)

Selenium levels in exposure categories

Lowest category: no supplemental selenium intake

Middle category: supplemental selenium intake < 50 µg/d

Highest category: supplemental intake ≥ 50 µg/d

Notes

Dorgan 1998

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 6426 women
Inclusion criteria: female volunteers with serum available at the Breast Cancer Serum Bank in Columbia (Missouri)/United States; no history of cancer at baseline; missing serum sample for analysis excluded

Recruitment: 1987 to 1997
Outcome assessment: 1982 to 1983, 1989

Number of cases:
• Breast cancer: 105 (male/female: 0/105)

Case definition: incidence

Years of follow‐up: median: 2.7

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: serum cholesterol, packs of cigarettes/d, BMI
Variables controlled by matching: age, year and month of sample collection, diagnosis of benign breast disease within 2 years before study enrolment, "sequence number of blood draw" for women who donate blood more than once

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Breast cancer
• Highest quartile: OR 0.9 (95% CI 0.4 to 1.8)

Selenium levels in exposure categories

Lowest quartile: ≤ 112.9 µg/L
Highest quartile: 131.9 to 156.3 µg/L

Notes

Dreno 2007

Methods

Multi‐centre, randomised, placebo‐controlled, parallel‐group trial

Allocation: random

Sequence generation: unclear

Concealment: unclear

Blinding: described only as double‐blinded

Dropouts/withdrawals: During treatment phase, 38 in the selenium group and 37 in the placebo group withdrew from the study. This distribution was similar in both treatment groups.

Intention‐to‐treat‐analysis: unclear

Recruitment period: not specified

Treatment duration: 3 years

Observation period/dermatological follow‐up:

Participants were followed for 2 years longer after treatment.

Detection of cases: Participants were seen by a dermatologist before grafting; any participants presenting with a non‐malignant or malignant skin keratosis or viral warts that had been present for less than 3 months were not selected. Within 10 weeks following the graft, a second visit was performed by a dermatologist to check that no new cutaneous lesion had appeared.

Informed consent: The protocol and the consent form had been approved by a National Ethics Committee before the start of the study. Written informed consent was mandatory.

Participants

Participants: 184 (randomised to selenium 200 μg/d: 91; to placebo: 93)

Condition: organ transplant recipient population

Demographics: mean age 44.3 ± SD 13 years (selenium 200 μg/d), 44.4 ± 10.7 years (placebo)

Interventions

Intervention:

• 200 µg/d selenium supplied as selenium yeast

Control: placebo

Outcomes

Primary outcome measure:

• Occurrence rates of warts and various keratoses

Other reported outcomes:

• Skin cancers

Risk estimates [95% CI]

Primary outcome:

Events in selenium group = 33 (36.3%), events in placebo group = 31 (33.3%); odds ratio 1.09, P = 0.72

Secondary outcome:

Events in selenium group = 6 (6.6%), events in placebo group = 2 (2.2%); odds ratio 3.08, P = 0.15

Selenium levels in exposure categories

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Multi‐centre randomised

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Described only as double‐blinded

Selective reporting (reporting bias)

Low risk

No problems found

Epplein 2009

Methods

Matched, nested case‐control study (Epplein 2009; Gill 2009)

Country: United States

Participants

Inclusion criteria: participants from the Multiethnic Cohort, aged 45 to 75 years (native Hawaiians: aged 42 years and older), blood sample provided before cancer diagnosis between 1997 and 2006

Name of parent cohort: Multiethnic Cohort

Recruitment: 1993 to 1996

Case definition: incidence

Type of selenium marker: serum

Epplein 2009:

Participants: 67,594 (male: 29,009/female: 38,585) men and women

Outcome assessment: 2006

Number of cases:
• Lung cancer: 207 (male/female: 136/71)

Years of follow‐up: 0 to 10

Gill 2009:

Participants: 29,009 men

Outcome assessment: n.r.

Number of cases:
• Prostate cancer: 467 (male/female: 467/0)

Years of follow‐up: n.r.

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression

Epplein 2009:
Variables controlled in analysis: age, fasting hours, pack‐years, pack‐years squared, years of schooling, family history of lung cancer
Variables controlled by matching: age, sex, race/ethnicity, date of sample collection, time of day of sample collection, fasting status, smoking

Gill 2009:
Analysed cases: 450 of 467
Variables controlled in analysis: age, fasting hours, BMI, family history of prostate cancer, education
Variables controlled by matching: age, race/ethnicity, date of sample collection, geographic site (California, Hawaii), time of day of sample collection, fasting status

Risk estimates [95% CI]

Epplein 2009:
Reference category: lowest tertile

Results:
Lung cancer
Male:
Highest tertile: OR 0.70 (95% CI 0.37 to 1.33)
Female:
Highest tertile: OR 0.98 (95% CI 0.42 to 2.29)

Gill 2009:
Reference category: lowest quartile

Results:
Prostate cancer
Highest quartile: OR 0.82 (95% CI 0.59 to 1.14)

Selenium levels in exposure categories

Epplein 2009:
Lowest tertile: median 0.12 µg/g of sodium
Highest tertile: median 0.15 µg/g of sodium          

Gill 2009:
Lowest quartile: median 0.12 µg/g
Highest quartile: median 0.16 µg/g

Notes

Primary publication:Epplein 2009        
Other publications: Gill 2009

Fex 1987

Methods

Matched, nested case‐control study

Country: Sweden

Participants

Participants: 7935 men
Inclusion criteria: 46 to 48 years of age; residents of Malmo/Sweden; no restriction regarding malignant disease at baseline (11 of 35 with diagnosis of cancer at baseline screening examination and/or died during first year of follow‐up)
Name of parent cohort: Malmo Preventive Programme

Recruitment: 1975 to 1979
Outcome assessment: June 1981

Number of cases:
• Any cancer: 35 (male/female: 35/0)

Case definition: mortality

Years of follow‐up: 3.5 to 8.0

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysed cases: 35 of 61 (reason for non‐inclusion: no plasma sample available)
Statistical methods: logistical regression, Mantel‐Haenszel
Variables controlled by matching: age, month of sample collection

Risk estimates [95% CI]

Reference category: highest quintile

Results:
Any cancer    
Male: lowest quintiles: OR 3.8 (CI not reported)

Selenium levels in exposure categories

n.r.

Notes

CI and number of cases not reported

Fujishima 2011

Methods

Prospective cohort study

Country: northern part of Japan

Participants

Participants: 1041 men and women
Inclusion criteria: adult haemodialysis patients
Name of parent cohort: "Kaleidoscopic Approaches to Patients with End‐stage RENal Disease Study" (the KAREN Study)

Recruitment: June 2003 to March 2004

Number of cases:
• Malignant disease‐related death: 17

Case definition: mortality

Years of follow‐up: 5

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: Cox logistical regression
Variables controlled by matching: age, male gender, BMI, hypertension, dyslipidaemia, diabetes mellitus, serum albumin levels, high‐sensitivity CRP levels, history of myocardial infarction, history of stroke, history of malignant disease, smoking status, regular drinking habit

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Malignant disease‐related death 
• Highest quartile: HR 2.98 (95% CI 0.62 to 14.35)

Selenium levels in exposure categories

Lowest quartile: 18.4 to 85.3 µg/L
Highest quartile: 114.2 to 226.2 µg/L

Notes

Garland 1995

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 62,641 women
Inclusion criteria: female registered nurses in 11 USA states; aged 30 to 55 years at baseline; completed questionnaire in 1976 and provided toenail sample in 1982; no history of cancer at baseline
Name of parent cohort: Nurses' Health Study (NHS)

Recruitment: 1976 (toenail sample collection in 1982)
Outcome assessment: 1 June 1986

Garland 1995:

Number of cases:
• Any cancer (without breast): 503 (male/female: 0/503)
• Colon and rectal cancer: 89 (male/female: 0/89)
• Melanoma: 63 (male/female: 0/63)
• Ovarian cancer: 58 (male/female: 0/58)
• Lung cancer: 47 (male/female: 0/47)
• Other: 155 (male/female: 0/155)
• Uterine cancer: 91 (male/female: 0/91)

Hunter 1990:

Number of cases:
• Breast cancer: 434 (0/434)

Case definition: incidence

Years of follow‐up: 2.0 to 4.4

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Statistical methods: logistical regression, conditional logistical regression
Variables controlled in analysis: smoking status
Variables controlled by matching: age, year and month of sample collection
Hunter 1990 additionally controlled in analysis for age at first birth, age at menarche, alcohol use, history of benign breast disease, menopausal status, maternal breast cancer, breast cancer in sister(s), oral contraceptive use, parity, relative weight

Risk estimates [95% CI]

Reference category: lowest quintile, lowest tertile

Results:

Garland 1995:
Any cancer (without breast)
• Female: highest quintile: OR 1.44 (95% CI 0.97 to 2.13)
Colon and rectal cancer
• Female: highest tertile: OR 2.04 (95% CI 0.88 to 4.75)
Melanoma 
• Female: highest tertile: OR 1.66 (95% CI 0.71 to 3.85)
Ovarian cancer 
• Female: highest tertile: OR 1.22 (95% CI 0.44 to 3.38)
Lung cancer 
• Female: highest tertile: OR 4.33 (95% CI 0.54 to 34.60)
Other cancer
• Female: highest tertile: OR 0.97 (95% CI 0.55 to 1.71)
Uterine cancer 
• Female: highest tertile: OR 1.38 (95% CI 0.62 to 3.08)

Hunter 1990:
Breast cancer  
• Female: highest quintile: OR 1.10 (95% CI 0.70 to 1.72)

Selenium levels in exposure categories

Garland 1995:
• Lowest quintile: ≤ 0.71 µg/g
• Highest quintile: ≥ 0.95 µg/g           

Hunter 1990:
• Lowest quintile: ≤ 0.705 µg/g
• Highest quintile: ≥ 0.906 µg/g

Notes

Primary publication:Garland 1995        
Other publication:Hunter 1990

Glattre 1989

Methods

Matched, nested case‐control study

Country: Norway

Participants

Participants: 100,000 men and women
Inclusion criteria: serum available at Janus serum bank (Norwegian serum bank, which is consolidated from several sources and is maintained by the Norwegian Cancer Society for research purposes)

Recruitment: 1972 to 1985
Outcome assessment: end of 1985

Number of cases:
• Thyroid cancer: 43 (male/female: 12/31)

Case definition: incidence

Years of follow‐up: 0.0 to 14.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled by matching: age, gender, year of sample collection, county of residence

Risk estimates [95% CI]

Reference category: highest tertile

Results:
Thyroid cancer 
• Both genders: lowest tertiles: OR 7.7 (95% CI 1.3 to 44.7)
• Men: lowest tertiles: OR 6.5 (95% CI 0.2 to 201.9)
• Women: lowest tertiles: OR 8.3 (95% CI 0.9 to 78.5)

Selenium levels in exposure categories

Lowest tertile: ≤ 98.7 µg/L
Highest tertile: ≥ 130.3 µg/L

Notes

Goodman 2001

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 18,314 (male/female: 12,025/6289)
Inclusion criteria: 4060 male asbestos workers: 45 to 74 years of age; 14,254 (male/female: 7965/6289) smokers > 20 pack‐years: 50 to 69 years of age; cohort of an RCT for lung cancer prevention in high‐risk populations
Name of parent cohort: Caret (Carotene and Retinol Efficacy Trial)

Recruitment: 1988 to 1994
Outcome assessment: April 1999

Number of cases:
• Lung cancer: 235 (male/female: n.r.)
• Prostate cancer: 356 (male/female: 356/0)

Case definition: incidence

Years of follow‐up: 6.0 to 12.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 235 of 236 prostate cancer cases analysed (reason for non‐inclusion: no sample available for analysis or no control available); 356 of 385 lung cancer cases analysed (reason for non‐inclusion: missing selenium values for case‐control pairs)

Statistical methods: conditional logistical regression
Variables controlled by matching: age, smoking status at randomisation, year of randomisation, year of sample collection, treatment arm, exposure population

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Lung cancer   
• Both genders: highest quartile: OR 1.20 (95% CI 0.77 to 1.88)
• Male: highest quartile: OR 1.53 (95% CI 0.83 to 2.82)
• Female: highest quartile: OR 0.76 (95% CI 0.29 to 2.01) 
Prostate cancer  
• Highest quartile: OR 1.02 (95% CI 0.65 to 1.60)

Selenium levels in exposure categories

Lung cancer
• Lowest quartile: 63.9 to 105.5 µg/L
• Highest quartile: 129.4 to 172.3 µg/L

Prostate cancer
• Lowest quartile: 50.7 to 101.2 µg/L
• Highest quartile: 126.0 to 219.6 µg/L

Notes

Goyal 2013

Methods

Cohort study

Country: United States

Participants

Name of parent cohort: Third National Health and Nutrition Examination Survey (NHANES III)

Inclusion criteria: male and female adults, aged 20 to 90 years, participating in the NHANES III: "stratified, multistage probability cluster to provide data representing the noninstitutionalized US population" (Bleys 2008, p. 404)

Recruitment: 1988 to 1994

Participants: 13,887 men and women

Outcome assessment: 31 December 2006

Number of cases:

• Cancer deaths: 891 (male/female: n.r.)

Case definition: mortality

Years of follow‐up: 14.2

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 864 (male/female: n.r.)

Statistical methods: Cox proportional hazard regression

Variables controlled in analysis: age, sex, race‐ethnicity, level of education, annual family income, body mass index, smoking status, serum cotinine level, alcohol consumption, fruit and vegetable intake, physical activity, serum total cholesterol levels, hypertension status, diabetes status, history of heart attack, congestive heart failure, stroke or cancer, hormone use in women, supplement use, serum levels of other micronutrients in the study (analysis only for both genders)

Risk estimates [95% CI]

Reference category: lowest tertile

Results:

Cancer deaths

• Both genders: highest quintile: HR 0.84 (95% CI 0.61 to 1.17)

• Male: highest quintile: HR 0.67 (95% CI 0.54 to 0.83)

• Female: highest quintile: HR 0.91 (95% CI 0.71 to 1.16)

Selenium levels in exposure categories

Lowest quintile: ≤ 108.96 µg/L

Highest quintile: ≥ 136.60 µg/L

Notes

Second report on the same cohort of Bleys 2008; results updated

Graff 2017

Methods

Matched, nested case‐control study

Country: United States

Participants

Name of the parent cohort: Health Professional Follow‐up Study

Participants: 18,259 men

Inclusion criteria: patients free from prostate cancer between 1993 and 1995 who returned EDTA‐preserved blood samples from HPFS cohort (35% of total cohort)

Recruitment: 1986

Outcome assessment: 31 January 1998

Number of cases:

• Prostate cancer: 166 (male/female: 166/0)

Case definition: incidence

Years of follow‐up: up to 5

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysesd cases: 154

Statistical methods: conditional logistical regression model

Variables controlled in analysis: age at blood draw, smoking status at blood draw, every PSA test before blood draw, timing and season of blood draw, time between blood draw and index date

Variables controlled by matching: year of birth, PSA test before blood draw, timing, season and year of blood draw

Risk estimates [95% CI]

Reference category: lowest quartile

Results:

• Highest quartile: 1.57 (95% CI 0.92 to 2.69)

Selenium levels in exposure categories

Lowest quartile: 0.0894 ppm

Highest quartile: 0.1308 ppm

Notes

Exposure category cutpoints provided by trial author

Grundmark 2011

Methods

Cohort study

Country: Sweden

Participants

Participants: 2322 males
Inclusion criteria: male residents in Uppsala county in January 1970, born from 1920 to 1924
Name of parent cohort: Uppsala Longitudinal Study of Adult Men (ULSAM)

Recruitment: 1991 to 1995
Outcome assessment: 31 December 2003

Number of cases:
• Prostate cancer: 208

Case definition: incidence

Years of follow‐up: median: 26.5

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: proportional hazard model

Risk estimates [95% CI]

Reference category: lowest level

Results:
Prostate cancer
• Highest level: RR 0.83 (95% CI 0.60 to 1.16)

Selenium levels in exposure categories

Lowest level: ≤ 70 µg/L
Highest level: > 81 µg/L

Notes

Han 2013

Methods

Cohort study

Country: United States

Participants

Name of parent cohort: Vitamins and Lifestyles (VITAL) study

Participants: 70,332 men and women

Inclusion criteria: aged 50 to 76 years, participants recruited from subscribers to commercial mailing list, residents of western Washington state, no malignant disease at baseline, no (or missing) history of pancreatic cancer or neuroendocrine tumours

Recruitment: 1 October 2000 to 31 December 2002

Outcome assessment: 31 December 2008

Number of cases:

• Pancreatic cancer: 195 (male/female: n.r.); 184 adenocarcinoma pancreatic cancer and 11 neuroendocrine tumours

Case definition: incidence

Years of follow‐up: median: 7.1

Type of selenium marker: intake and supplement use (questionnaire: use of supplements over the past 10 years, mean supplemental intake/d calculated)

Interventions

d.n.a.

Outcomes

Analysed cases: Individuals with neuroendocrine tumours were excluded.
Daily intake: 162 out of 184 cases analysed (reason for exclusion: dietary questionnaire incomplete or implausible total energy intake)
Diet and 10‐year supplement use: 158 out of 184 cases analysed (reason for exclusion: dietary questionnaire incomplete or implausible total energy intake and missing supplement use)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, sex, ethnicity, education, body mass index, physical activity, cigarette smoking status, total alcohol consumption, family history of pancreatic cancer, history of diabetes, total energy intake

Risk estimates [95% CI]

Reference category: lowest tertile

Results:

Adenocarcinoma pancreatic cancer
• Daily intake: HR 0.44 (95% CI 0.23 to 0.85)
• Diet and 10‐year supplement use: HR 0.69 (95% CI 0.39 to 1.20)

Selenium levels in exposure categories

Daily intake
• Lowest tertile: 6.38 to 85.49 µg/d
• Highest tertile: 127.50 to 641.60 µg/d
Diet and 10‐year supplement use
• Lowest tertile: 9.81 to 98.76 µg/d
• Highest tertile: 145.66 to 646.60 µg/d

Notes

Hansen 2013

Methods

Cohort study

Country: Denmark

Participants

Participants: 54,208 men and women

Inclusion criteria: aged 50 to 64, born in Denmark, no diagnosis of cancer registered in the Danish Cancer Registry, living in the Copenhagen, Frederiksberg Aarhus municipalities, Hinnerup or Hørning municipalities in Aarhus County, and nearly all in Copenhagen county

Recruitment: 1993 to 1997

Outcome assessment: April 1995 to December 2009

Number of cases: 990 (male/female: n.r)

Case definition: incidence

Years of follow‐up: median: 13

Type of selenium marker: supplement use

Interventions

d.n.a.

Outcomes

Analysed cases:

• Colon‐rectal cancer: 990 (male/female: n.r.)
• Colon cancer: 642 (male/female: n.r.)
• Rectal cancer: 348 (male/female: n.r.)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: alcohol consumption, smoking status (ever/never), physical activity at work and at leisure, non‐steroidal anti‐inflammatory drug use, body mass index, education level, intake of red and processed meat, dietary intake, supplemental intake of nutrients alternatively

Risk estimates [95% CI]

Reference category: high use

Results:
• Colon‐rectal cancer: HR 1.25 (95% CI 1.05 to 1.48)
• Colon cancer: HR 1.22 (95% CI 0.99 to 1.51)
• Rectal cancer: HR 1.29 (95% CI 0.96 to 1.74)

Selenium levels in exposure categories

Supplement use:
• Never use: 0 µg/d
• High use: > 45.80 µg/d

Notes

Data on dietary intake and Total intake + supplement use not reported according to inclusion criteria: only 2 categories ‐ high vs low use

Hartman 1998

Methods

Cohort/subcohort controlled cohort study

Country: Finland

Participants

Participants: 29,133 men
Inclusion criteria: 50 to 69 years of age; smokers; no history of cancer (other than non‐melanoma skin cancer) at baseline; no severe physical or psychiatric illness; intake of vitamin E/A/beta‐carotene supplements in excess of defined amounts
Name of parent cohort: Alpha‐Tocopherol, Beta‐Carotene Cancer Prevention (ATBC) Study

Recruitment: 1985 to 1988
Outcome assessment: 30 April 1993

Number of cases:
• Prostate cancer: 302 (male/female: 302/0)

Case definition: incidence

Years of follow‐up: 5.0 to 8.0

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases: 302 of 317 (reason for non‐inclusion: no dietary information available)
• Analysis stratified by randomisation status according to active interventions or placebo interventions in the RCT
• Results reported separately for total selenium intake and non‐supplemental selenium intake
Statistical methods: Cox regression analysis
Variables controlled in analysis: age, living in urban area, beta‐carotene intervention, total energy, BPH

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Prostate cancer
Total (nutritional and supplemental) selenium intake in participants without active alpha‐tocopherol intervention
• Highest quartile: RR 1.27 (95% CI 0.70 to 2.20)

Total (nutritional and supplemental) selenium intake in participants with alpha‐tocopherol intervention
• Highest quartile: RR 0.84 (95% CI 0.43 to 1.67)

Nutritional selenium intake in participants without active alpha‐tocopherol intervention
• Highest quartile: RR 1.32 (95% CI 0.70 to 2.47)

Nutritional selenium intake in participants with alpha‐tocopherol intervention
• Highest quartile: RR 0.72 (95% CI 0.33 to 1.55)

Selenium levels in exposure categories

Total nutritional and supplemental selenium intake:
• Lowest quartile: ≤ 71.51 µg/d
• Highest quartile: ≥ 111.06 µg/d

Nutritional selenium intake:
• Lowest quartile: ≤ 70.10 µg/d
• Highest quartile: ≥ 105.65 µg/d

Notes

Hashemian 2015

Methods

Cohort study

Country: Iran

Participants

Name of parent cohort: Golestan Cohort Study

Participants: 47,405 (male/female: 19,969/27,436)

Inclusion criteria: aged 40 to 75, stable residents in Golestan region (Gonbad City and villages in Gonbad, Kalaleh, and Aq‐Qala counties); not having a current or previous diagnosis of upper gastrointestinal cancer

Recruitment: 2004 to 2008

Outcome assessment: 2014

Number of cases:

• Oesophageal squamous cell carcinoma: 201 (male/female: n.r.)

Case definition: incidence

Years of follow‐up: median: 7.2

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases: 201 (male/female: n.r.)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, sex, total energy, place of residence (urban or rural), smoking (never or ever), wealth score (low, medium, or high), ethnicity (non‐Turkmen or Turkmen), opiate use (never or ever), BMI, education (illiterate or formal education), marital status (single or married), physical activity score (continuous), fruit and vegetable intake

Risk estimates [95% CI]

Reference category: lowest quartile

Results:

Oesophageal squamous cell carcinoma
• Highest quartile: HR 0.67 (95% CI 0.53 to 1.30)

Selenium levels in exposure categories

Lowest quartile: < 116 µg/d
Highest quartile: > 175 µg/d

Notes

Helzlsouer 2000

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 10,456 men
Inclusion criteria: residents of Washington county; cases with second malignancy or missing pathological confirmation excluded
Name of parent cohort: CLUE II Cohort

Recruitment: 1989
Outcome assessment: September 1996

Number of cases:
• Prostate cancer: 117 (male/female: 117/0)

Case definition: incidence

Years of follow‐up: 6.8 to 7.8

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Analysed cases: 117 of 145 (reason for non‐inclusion: no toenail clipping available)
Statistical methods: conditional logistical regression
Variables controlled in analysis: BMI at age 21, education, hours since last meal
Variables controlled by matching: age, race/ethnicity, year and month of sample collection, size of toenail clipping

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Prostate cancer 
• Highest quintile: OR 0.38 (95% CI 0.17 to 0.85)

Selenium levels in exposure categories

Lowest quintile: ≤ 0.69 ppm
Highest quintile: ≥ 0.92 ppm

Notes

Hotaling 2011

Methods

Cohort study

Country: United States

Participants

Participants: 77,050 men and women,

aged 50 to 76 years, participants recruited from subscribers to commercial mailing list, residents of western Washington state, non‐whites excluded, no malignant disease at baseline

Name of parent cohort: Vitamins and Lifestyle (VITAL) study

Recruitment: 1 October 2000 to 31 December 2002

Outcome assessment: 31 December 2002

Number of cases:
• Urothelial carcinoma: 330

Case definition: incidence

Years of follow‐up: median: 6

Type of selenium marker: supplemental intake (questionnaire: use of supplements over the past 10 years, mean supplemental intake/day calculated)

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard regression
Variables controlled in analysis: age, gender, race (white, black, other), education, family history of bladder cancer, smoking (never; former, quit more than 10 years before start of VITAL; former, quit less than 10 years before start of VITAL; current), pack‐years (never‐smoker and tertiles), fruit and vegetable intake

Risk estimates [95% CI]

Reference category: non‐use

Results:
• Highest level: HR 0.97 (95% CI 0.72 to 1.31)

Selenium levels in exposure categories

Lowest level: non‐use
Highest quartile: 20 µg/d

Notes

Hughes 2015

Methods

Matched, nested case‐control study

Countries: Denmark, France, Germany, Greece, Italy, the Nederlands, Spain, United Kindom

Participants

Name of parent cohort: European Prospective Investigation into Cancer and Nutrition (EPIC)

Participants: 428,917 (male/female: 129,961/298,956)

Inclusion criteria: aged 25 to 70, participants from the EPIC study

Recruitment: 1992 to 2000

Outcome assessment: at each country’s study closure date (between June 2002 and 2003)

Number of cases:
• Colorectal cancer: 966 (male/female: 466/500)
• Colon cancer: 598 (male/female: 272/326)
• Rectal cancer: 368 (male/female: 194/174)

Case definition: incidence

Years of follow‐up: average: approximately 4

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression

Variables controlled in analysis: smoking status/duration/intensity, BMI, total physical activity, education level, total dietary energy consumption, intake of total calcium, fruits, vegetables, red and processed meats, and alcohol

Variables controlled by matching: study centre of enrolment, sex, age at blood collection, time of blood collection and fasting status; among women, the following: menopausal status. Premenopausal women were matched on phase of menstrual cycle, and postmenopausal women were matched on current hormonal replacement therapy (HRT) use.

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Colorectal cancer
• Both genders: highest quintile: IRR 0.88 (95% CI 0.64 to 1.21)
• Male: highest quintile: IRR 1.18 (95% CI 0.73 to 1.90)
• Female: highest quintile: IRR 0.64 (95% CI 0.40 to 1.01)
Colon cancer
• Both genders: highest quintile: IRR 0.81 (95% CI 0.54 to 1.23)
• Male: highest quintile: IRR 1.11 (95% CI 0.58 to 2.12)
• Female: highest quintile: IRR 0.61 (95% CI 0.34 to 1.09)
Rectal cancer
• Both genders: highest quintile: IRR 1.09 (95% CI 0.63 to 1.89)
• Male: highest quintile: IRR 1.32 (95% CI 0.55 to 3.19)
• Female: highest quintile: IRR 0.76 (95% CI 0.32 to 1.80)

Selenium levels in exposure categories

Both male and female

• Lowest quintile: < 67.7 µg/L
• Highest quintile: > 100.6 µg/L

Notes

Data for study population from Riboli 2002

Hughes 2016

Methods

Matched, nested case‐control study

Countries: Denmark, France, Germany, Greece, Italy, the Nederlands, Norway, Spain, Sweden, UK

Participants

Name of parent cohort: European Prospective Investigation into Cancer and Nutrition (EPIC)

Participants: 521,448

Inclusion criteria: aged 25 to 70 participants of the EPIC study

Recruitment: 1992 to 2000

Outcome assessment: at each country’s study closure date (between December 2002 and December 2006)

Number of cases: 261 (male/female: n.r.)

Case definition: incidence

Years of follow‐up: average: approximately 6

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases:
• Hepatocellular carcinoma (HCC): 106 (male/female: n.r)
• Gallbladder and biliary tract cancer (GBTC): 96 (male/female: n.r)
• Intrahepatic bile duct cancer (IHBC): 36 (male/female: n.r)

Statistical methods: conditional logistical regression

Variables controlled in analysis: BMI, waist circumference, baseline alcohol intake, physical activity (metabolic equivalent tasks), smoking status, education, alcohol intake pattern, self‐reported diabetes, total energy intake

Variables controlled by matching: age at blood collection, sex, study centre, time of day, fasting status at blood collection. Additionally, women were matched by menopausal status and hormone replacement therapy use at the time of blood collection.

Risk estimates [95% CI]

Reference category: lowest tertile

Results
• HCC: highest tertile: OR 0.41 (95% CI 0.23 to 0.72)
• GBTCs: highest tertile: OR 0.74 (95% CI 0.47 to 1.18)

Selenium levels in exposure categories

Lowest tertile: ≤ 80.5 µg/L
Highest tertile: ≥ 64.5 µg/L
20 µg/L increase

Notes

Estimates for IHBC reported only for 20 µg/L increase: OR 0.42 (95% CI 0.15 to 1.20)

Kabuto 1994

Methods

Matched, nested case‐control study

Country: Japan

Participants

Participants: 20,000 men and women
Inclusion criteria: survivor of the atomic bomb in Hiroshima or Nagasaki; serum available for analysis
Name of parent cohort: Adult Health Study Hiroshima and Nagasaki

Recruitment: 1960 (blood samples drawn in 1970 to 1972)
Outcome assessment: 1983

Number of cases:
• Stomach cancer: 201 (male/female: 113/88)
• Lung cancer: 77 (male/female: 43/34)

Case definition: incidence

Years of follow‐up: 12.0 to 14.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: radiation dose, smoking, age, gender
Variables controlled by matching: age, gender, year/month of sample collection, city

Risk estimates [95% CI]

Reference category: highest quartile

Results:
Stomach cancer
• Both genders: lowest quartile: OR 1.0 (95% CI 0.5 to 1.9)
Lung cancer
• Both genders: lowest quartile: OR 1.8 (95% CI 0.7 to 5.0)

Selenium levels in exposure categories

Lowest quartile ≤ 98.90 µg/L
Highest quartile ≥ 128.10 µg/L

Notes

Karagas 1997

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 1805 men and women
Inclusion criteria: at least 1 basal cell or squamous cell cancer before study entry; participants in an RCT for non‐melanoma skin cancer prevention with oral beta‐carotene supplementation
Name of parent cohort: Skin Cancer Prevention Study

Recruitment: February 1983 to February 1986
Outcome assessment: 30 September 1989

Number of cases:
• Squamous cell cancer: 131 (89% male/11% female)

Case definition: incidence

Years of follow‐up: 3.0 to 5.0

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: cigarette smoking
Variables controlled by matching: age, gender, study centre of RCT, time in study (diagnosis date)

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Squamous cell cancer
Both genders: highest quartile: OR 0.86 (95% CI 0.47 to 1.58)

Selenium levels in exposure categories

Lowest quartile: ≤ 0.12 ppm
Highest quartile: ≥ 0.14 ppm

Notes

Karp 2013

Methods

Randomised controlled trial

Phase III Chemoprevention Trial of Selenium Supplementation In Persons With Resected Stage I Non‐Small Cell Lung Cancer: ECOG 5597

Allocation: random, permuted blocks stratified by smoking status (current, former, or never), sex, and stage (IA vs IB with other therapy vs IB without other therapy)

Sequence generation: permuted blocks within strata with dynamic balancing

Concealment: central assignments at ECOG Coordinating Center

Blinding: participant blinded, doctor blinded, outcome assessor/pathologist unclear, review/coding of medical records unblinded

Dropouts/withdrawals: of 1561 randomised participants, no dropouts

Intention‐to‐treat‐analysis: yes

Recruitment period: 6 October 2000 to 5 November 2009

End of study period: 5 November 2009

Treatment duration:
• Intervention was discontinued on 5 November 2009, following the Data Monitoring Committee recommendation that the study could eventually show significant evidence of benefit

Observation period: After end of treatment phase, participants enter the follow‐up phase. Analyses till June 2011 reported (until January 2014 in Pillai 2014 with median follow‐up of 5.6 years)

Detection of cases: visit at 3 months for adverse effects, annual visit for other endpoints

Informed consent: yes

Participants

1561 male and female participants with completely resected stage I non‐small‐cell lung cancer

Countries: United States, Canada

Participants: 1561 (randomised to selenium group: 1,040; to placebo group: 521)

Condition: adult participants, 6 to 36 months from complete resection of histologically proven stage IA or IB non‐small‐cell lung cancer, with chest X‐ray or CT scan ≤ 8 weeks before registration without sign of new recurrent lung cancer, no recurrent cancers or any other prior cancer history within the past 5 years (except NMSC), normal hepatic function, ECOG performance status of 0 or 1, not taking selenium supplement regularly ≥ 70 μg/d, any therapy (chemo, radio, or biological therapy) completed at least 6 months before study registration and all related symptoms subsided

Demographics: median age 66 in both intervention groups. Selenium and placebo participants were well balanced with respect to sex, age, smoking history, and stage at resection.

Recruitment and setting: not reported

Interventions

Intervention: 200 µg selenised yeast

Control: placebo

Outcomes

Primary outcome: incidence of second primary lung tumours
Secondary outcomes: incidence of any other second primary tumours, mortality, overall survival
Other outcomes: qualitative and quantitative toxicity of selenium

Risk estimates [95% CI]

Karp 2013:

Primary outcome:

• Lung cancer: RR 1.23 (95% CI 0.80 to 1.80)
Other outcomes:
• Any cancer: RR 1.02 (95% CI 0.80 to 1.21)
• Prostate cancer: RR 0.89 (95% CI 0.40 to 2.00)
• Colorectal cancer: RR 0.50 (95% CI 0.13 to 1.91)
• Melanoma: RR 1.25 (95% CI 0.24 to 6.43)
• NMSC: RR 0.80 (95% CI 0.44 to 1.45)
• Diabete mellitus: RR 1.19 (95% CI 0.61 to 2.35)

Pillai 2014:

Primary outcome:

• Lung cancer: RR 1.29 (95% CI 0.87 to 1.93)

Selenium levels in exposure categories

d.n.a.

Notes

Karp 2013

Adverse effects:
• Alopecia grade 1 to 2: RR 0.80 (95% CI 0.48 to 1.34)
• Dermatitis grade 1 to 2: RR 1.59 (95% CI 0.75 to 3.37)
• Nail changes grade 1 to 2: RR 0.72 (95% CI 0.46 to 1.12)
• Fatigue grade 1 to 2: RR 1.02 (95% CI 0.68 to 1.53)
• Nausea grade 1 to 2: RR 2.14 (95% CI 1.04 to 4.42)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random, permuted blocks stratified

Allocation concealment (selection bias)

Low risk

Central assignments

Blinding (performance bias and detection bias)
All outcomes

Low risk

Participants blinded and doctor blinded, outcome assessor/pathologist unclear, review/coding of medical records unblinded

Selective reporting (reporting bias)

Low risk

No problems found

Knekt 1990

Methods

Matched, nested case‐control study (Hakama 1990; Knekt 1988;Knekt 1990;Knekt 1996)
Cohort study (Knekt 1991)

Country: Finland

Participants

Inclusion criteria: no history of cancer at baseline
Name of parent cohort: Social Insurance Institution's Mobile Clinic Health Examination Survey

Recruitment: 1968 to 1972

Knekt 1990:
Participants: 39,268: 21,172 men and 18,096 women
Outcome assessment: 31 December 1980

Number of cases:
• Any cancer: 1096 (male/female: 597/499)
• Stomach cancer: 95 (male/female: 58/37)
• Colon and rectal cancer: 91 (male/female: 32/59)
• Lung cancer: 198 (male/female: 189/9)
• Prostate cancer: 51 (male/female: 51/0)
• Urinary tract cancer: 47 (male/female: 34/13)
• Pancreatic cancer: 45 (male/female: 22/23)
• Breast cancer: 90 (male/female: 0/90)
• Gynaecological cancer (without breast): 86 (male/female: 0/86)
• Basal cell carcinoma (skin): 126 (male/female: 64/62)
• Other: 267 (male/female: 147/120)

Hakama 1990:
Participants: number of participants n.r.; both genders
Inclusion criteria: aged 15 years and older
Outcome assessment: 1977

Number of cases:
• Any cancer: 766 (male/female: n.r.)
• Lung cancer: 151 (male/female: 151/0)
• Breast cancer: 67 (male/female: 0/67)
• Stomach cancer: 76 (male/female: n.r.)
• Prostate cancer: 37 (male/female: 37/0)

Knekt 1988:
Participants: 36,265: 21,172 men and 15,093 women
Outcome assessment: 31 December 1977

Number of cases:
• Oesophageal and stomach cancer: 86 (male/female: 51/35)
• Colon and rectal cancer: 57 (male/female: 21/36)

Knekt 1991:
Participants: 4538 men
Inclusion criteria: aged 20 to 69 years, with dietary history taken
Outcome assessment: 1986

Number of cases:
• Lung cancer: 117 (male/female: 117/0)

Knekt 1996:
Participants: 1896 women
Outcome assessment: 1980

Number of cases:     
• Ovarian cancer: 24 (male/female: 0/24)

Case definition: incidence

Years of follow‐up: 9 to 20 years

Type of selenium marker: serum (Hakama 1990; Knekt 1988;Knekt 1990;Knekt 1996), intake (Knekt 1991: dietary history)

Interventions

d.n.a.

Outcomes

Knekt 1990
Statistical methods: conditional logistical regression
Variables controlled in analysis: smoking
Variables additionally controlled in analysis of highest 4 quintiles vs lowest quintile: occupation, BMI, parity, cholesterol, haematocrit
Variables controlled by matching: age, gender, municipality, time of baseline examination, duration of storage of sample

Hakama 1990
Analysed cases: 766 of 864 (reason for non‐inclusion: no serum sample)
Statistical methods: conditional logistical regression
Variables controlled in analysis: smoking
Variables additionally controlled in analysis of highest 4 quintiles vs lowest quintile: retinol level, alpha‐tocopherol level
Variables controlled by matching: age, gender, municipality, time of baseline examination, duration of storage of sample

Knekt 1988
Statistical methods: n.r.
Variables controlled in analysis: smoking, serum cholesterol
Variables controlled by matching: age, gender, municipality, time of baseline examination, duration of storage of sample

Knekt 1991
Statistical methods: Cox proportional hazard model
Variables controlled in analysis: age, smoking (data stratified according to smoking status)

Knekt 1996
Statistical methods: conditional logistical regression
Variables controlled by matching: age, gender, municipality, time of baseline examination, duration of storage of sample

Risk estimates [95% CI]

Knekt 1990
Reference category: lowest quintile

Results:
Any cancer
Male
• Highest quintile: OR 0.41 (CI not reported)
• Above 20th percentile: OR 0.67 (CI not reported); cases during first 2 years of follow‐up excluded: 476 cases: OR 0.65 (95% CI 0.48 to 0.89)
Female
• Highest quintile: OR 0.86 (CI not reported)
• Above 20th percentile: OR 0.93 (CI not reported); cases during first 2 years of follow‐up excluded: 423 cases: OR 0.97 (95% CI 0.68 to 1.39)
Stomach cancer
Male
• Highest quintile: OR 0.09 (CI not reported)
• Above 20th percentile: OR 0.26 (CI not reported); cases during first 2 years of follow‐up excluded: 43 cases: OR 0.24 (95% CI 0.09 to 0.69)
Female
• Highest quintile: OR 0.27 (CI not reported)
• Above 20th percentile: OR 0.59 (CI not reported); cases during first 2 years of follow‐up excluded: 30 cases: OR 0.48 (95% CI 0.14 to 1.66)
Colon and rectal cancer
Male
• Highest quintile: OR 0.53 (CI not reported)
• Above 20th percentile: OR 0.69 (CI not reported); cases during first 2 years of follow‐up excluded: 29 cases: OR 1.01 (95% CI 0.18 to 5.65)
Female
• Highest quintile: OR 0.80 (CI not reported)
• Above 20th percentile: OR 1.26 (CI not reported); cases during first 2 years of follow‐up excluded: 48 cases: OR 1.10 (95% CI 0.42 to 2.92)
Lung cancer
Male
• Highest quintile: OR 0.30 (CI not reported)
• Above 20th percentile: OR 0.60 (CI not reported); cases during first 2 years of follow‐up excluded: 153 cases: OR 0.66 (95% CI 0.37 to 1.19)
Female
• Third highest quintile: OR 4.62 (CI not reported) (quintile 4 and 5 did not contain any cases)
Prostate cancer
• Highest quintile: OR 1.15 (CI not reported)
• Above 20th percentile: OR 1.13 (CI not reported); cases during first 2 years of follow‐up excluded: 46 cases: OR 1.00 (95% CI 0.42 to 2.40)
Urinary tract cancer
Male
• Highest quintile: OR 0.81 (CI not reported)
• Above 20th percentile: OR 0.89 (CI not reported); cases during first 2 years of follow‐up excluded: 26 cases: OR 0.34 (95% CI 0.06 to 2.06)
Female
• Highest quintile: OR 4.12 (CI not reported)
• Above 20th percentile: not reported; cases during first 2 years of follow‐up excluded: 9 cases: OR 2.51 (95% CI 0.13 to 47.9)
Pancreatic cancer
Male
• Fourth quintile vs lowest: OR 0.58 (CI not reported) (highest quintile did not contain any cases)
• Above 20th percentile: OR 0.11 (CI not reported); cases during first 2 years of follow‐up excluded: not reported
Female
• Highest quintile: OR 3.49 (CI not reported)
• Above 20th percentile: not reported; cases during first 2 years of follow‐up excluded: 22 cases: OR 0.86 (95% CI 0.21 to 3.52)
Breast cancer
• Highest quintile: OR 0.64 (CI not reported)
• Above 20th percentile: OR 0.52 (CI not reported); cases during first 2 years of follow‐up excluded: 74 cases: OR 0.57 (95% CI 0.18 to 1.81)
Gynaecological cancer (without breast)
• Highest quintile: OR 0.96 (CI not reported)
• Above 20th percentile: OR 0.91 (CI not reported); cases during first 2 years of follow‐up excluded: 70 cases: OR 1.03 (95% CI 0.43 to 2.50)
Basal cell carcinoma (skin)
Male
• Highest quintile: OR 0.54 (CI not reported)
• Above 20th percentile: OR 0.65 (CI not reported); cases during first 2 years of follow‐up excluded: 54 cases: OR 0.86 (95% CI 0.35 to 2.12)
Female
• Highest quintile: OR 1.55 (CI not reported)
• Above 20th percentile: OR 1.73 (CI not reported); cases during first 2 years of follow‐up excluded: 52 cases: OR 1.54 (95% CI 0.64 to 3.73)
Other or unspecified cancer:
Male
• Highest quintile: OR 0.42 (CI not reported)
• Above 20th percentile: OR 0.72 (CI not reported); cases during first 2 years of follow‐up excluded: 110 cases: OR 0.70 (95% CI 0.36 to 1.36)
Female
• Highest quintile: OR 0.71 (CI not reported)
• Above 20th percentile: OR 0.87 (CI not reported); cases during first 2 years of follow‐up excluded: 111 cases: OR 0.92 (95% CI 0.44 to 1.92)

Hakama 1990
Reference category: highest quintile

Results:
Any cancer
Male
• Lowest quintile: OR 2.40 (CI not reported)
• Lowest quintile vs 4 highest quintiles: OR 1.60 (CI not reported)
Female
• Lowest quintile: OR 1.20 (CI not reported)
• Lowest quintile vs 4 highest quintiles:0.90 (CI not reported)
Lung cancer 
Male:
• Lowest quintile vs 4 highest quintiles: OR 1.80 (CI not reported)
Breast cancer
• Lowest quintile vs 4 highest quintiles: OR 3.10 (CI not reported)
Stomach cancer
Male
• Lowest quintile vs 4 highest quintiles: OR 6.70 (CI not reported)
Female
• Lowest quintile vs 4 highest quintiles: OR 2.00 (CI not reported)
Prostate cancer
• Lowest quintile vs 4 highest quintiles: OR 0.80 (CI not reported)

Knekt 1988
Reference category: highest quintile

Results:
Oesophageal and stomach cancer
Male
• Lowest tertile: OR  2.20 (CI not reported)
• Lowest quintile vs 4 highest quintiles: OR 3.3 (95% CI 1.3 to 9.1)
Female
• Lowest tertile: OR 1.50 (CI not reported)
• Lowest quintile vs 4 highest quintiles: OR 2.4 (95% CI 0.7 to 8.3)
Colon and rectal cancer  
Male
• Lowest tertile: OR 0.90 (CI not reported)
• Lowest quintile vs 4 highest quintiles: OR 1.7 (95% CI 0.4 to 7.7)
Female
• Lowest tertile: OR 0.60 (CI not reported)
• Lowest quintile vs 4 highest quintiles: OR 0.8 (95% CI 0.2 to 2.4)

Knekt 1991
Reference category: highest tertile

Results:
Lung cancer
Male non‐smokers

• Lowest tertile: OR 1.03 (CI not reported)
Male smokers

• Lowest tertile: OR 0.83 (CI not reported)

Knekt 1996
Reference category: highest tertile

Results:
Ovarian cancer
• Lowest tertile: OR 1.15 (95% CI 0.19 to 4.06)

Selenium levels in exposure categories

Knekt 1990
• Lowest quintile: ≤ 48.90 µg/L

• Highest quintile  ≥ 78.00 µg/L

Hakama 1990
• Quintiles: not specified

Knekt 1988
Both genders
• Lowest tertile: ≤ 56.90 µg/L

• Highest tertile ≥ 70.10 µg/L
• Lowest quintile: ≤ 50 µg/L

• Highest 4 quintiles > 50 µg/L

Knekt 1991
• Tertiles: n.r.

Knekt 1996
• Lowest tertile: ≤ 56.90 µg/L

• Highest tertile: ≥ 68.10 µg/L

Notes

Primary publication:Knekt 1990
Other publications: Hakama 1990, Knekt 1988, Knekt 1991, Knekt 1996

Knekt 1998

Methods

Matched, nested case‐control study

Country: Finland

Participants

Participants: 9101 men and women
Inclusion criteria: 19 years or older; no history of cancer at baseline; serum sample available for analysis
Name of parent cohort: Social Insurance Institution's Mobile Clinic Health Examination Survey

Recruitment: 1973 to 1976
Outcome assessment: end of 1991

Number of cases:
• Lung cancer: 91 (male/female: approximately 95%/5%)

Case definition: incidence

Years of follow‐up: 16.0 to 19.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 91 of 95 (male/female: 90/5)
Statistical methods: conditional logistical regression
Variables controlled in analysis: smoking, alpha‐tocopherol, serum cholesterol, copper, orosomucoid, BMI
Variables controlled by matching: age, gender, municipality, season of sample collection, length of storage of sample

Risk estimates [95% CI]

Reference category: lowest tertile

Results:
Lung cancer  
• Analysis adjusted for smoking only: both genders: highest tertiles: OR 0.44 (95% CI 0.21 to 0.89)
• Analysis adjusted for all variables (number of cases: 77): highest tertiles: OR 0.41 (95% CI 0.17 to 0.94)

Selenium levels in exposure categories

Lowest tertile: ≤ 45.49 µg/L
Highest tertile: ≥ 60.60 µg/L

Notes

Kok 1987a

Methods

Matched, nested case‐control study

Country: the Netherlands

Participants

Participants: 10,532 men and women
Inclusion criteria: inhabitant of Zoetermeer; 5 years or older
Name of parent cohort: EPOZ Cohort (Epidemiologisch onderzoek naar risico‐indicatoren voor hart‐ en vaatziekten)

Recruitment: 1975 to 1978
Outcome assessment: 31 December 1983

Number of cases:
• Any cancer: 69 (male/female: 40/29)

Case definition: mortality

Years of follow‐up: 6.0 to 9.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 69 of 114 (reason for non‐inclusion: serum or baseline data not available, deaths in first year of follow‐up excluded)
Statistical methods: not specified
Variables controlled in analysis: age, smoking, serum cholesterol, serum vitamins A and E, systolic and diastolic blood pressure, BMI, week of blood collection, years of education, gender (in group of both genders)
Variables controlled by matching: age, gender, smoking status

Risk estimates [95% CI]

Reference category: highest 4 quintiles

Results:
Any cancer   
• Both genders: lowest quintile: OR 1.9 (90% CI 1.0 to 3.5)
• Male: lowest quintile: OR 2.7 (90% CI 1.2 to 6.2)
• Female: lowest quintile: OR 1.5 (90% CI 0.5 to 4.5)

Selenium levels in exposure categories

Both genders
• Lowest quintile: ≤ 102.79 µg/L
• Highest 4 quintiles: ≥ 102.80 µg/L

Males
• Lowest quintile: ≤ 100.79 µg/L
• Highest 4 quintiles: ≥ 100.80 µg/L

Females
• Lowest quintile: ≤ 107.29 µg/L
• Highest 4 quintiles: ≥ 107.30 µg/L

Notes

Primary publication:Kok 1987b
Other publication:Kok 1987a

Kornitzer 2004

Methods

Matched, nested case‐control study

Country: Belgium

Participants

Participants: 10,902 (male/female: 5,549/5,353)
Inclusion criteria: 25 to 74 years of age
Name of parent cohort: Belgian Interuniversity Study on Nutrition and Health

Recruitment: 1980 to 1984
Outcome assessment: n.r.

Number of cases:
• Any cancer: 193 (male/female: 143/50)

Case definition: mortality

Years of follow‐up: 10

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 143 male/50 female cases analysed from 252 male/91 female cases (reason for non‐inclusion: no selenium measurement available)
Statistical methods: not specified
Variables controlled in analysis: BMI, total energy, total fat, saturated fat, alcohol intake, fibre, retinol, vitamin C, smoking, beta‐carotene
Variables controlled by matching: age, gender

Risk estimates [95% CI]

Reference category: highest tertile

Results:
Any cancer
• Male: lowest tertile: OR 2.2 (95% CI 1.3 to 3.7)
• Female: lowest tertile: OR 0.7 (95% CI 0.3 to 1.6)

Selenium levels in exposure categories

Lowest tertile ≤ 72.00 µg/L
Highest tertile ≥ 85.00 µg/L

Notes

Kristal 2014

Methods

Matched, nested case‐control study

Countries: United States, Canada, Puerto Rico

Participants

Name of parent cohort: SELECT (Selenium and Vitamin E Cancer Prevention Trial), placebo arm

Participants: 777 men from placebo arm of SELECT study

Inclusion criteria: black men aged ≥ 50 years and all other men aged ≥ 55 years, without history of prostate cancer, serum PSA level ≤ 4 ng/L and non‐suspicious digital rectal examination

Recruitment: July 2001 to May 2004

Outcome assessment: 31 July 2009

Number of cases:

• Prostate cancer: 404 (male/female:404/0)

Case definition: incidence

Years of follow‐up: n.r.

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Analysed cases: 404 (male/female: 404/0)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age and race by matching, family history of prostate cancer, diabetes, body mass index, prostate‐specific antigen

Variables controlled by matching: age and race

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
• Prostate cancer: highest quintile: HR 0.76 (95% CI 0.44 to 1.31)

Selenium levels in exposure categories

Lowest quintile: < 0.758 µg/g
Highest quintile > 1.003 µg/g

Notes

Kromhout 1987

Methods

Cohort/subcohort controlled cohort study

Country: the Netherlands

Participants

Participants: 878 men
Inclusion criteria: 40 to 59 years of age; random sample of general male population at specific age in Zutphen
Name of parent cohort: Zutphen Study

Recruitment: 1960
Outcome assessment: 1985

Number of cases:
• Lung cancer: 63 (male/female: 63/0)

Case definition: mortality

Years of follow‐up: 25

Type of selenium marker: intake (interview)

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard model
Variables controlled in analysis: age, pack‐years of smoking

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Lung cancer 
• Male: highest quartile: RR 0.98 (95% CI 0.41 to 2.36)

Selenium levels in exposure categories

Lowest quartile: ≤ 55.00 µg/d
Highest quartile: ≥ 72.10 µg/d  

Notes

Li 2000

Methods

Randomised controlled trial

Allocation: randomised, "based on their residence area"

Sequence generation: unclear, not described

Concealment: unclear, not described

Blinding: of participants: adequate (placebo); of investigators and doctors: unclear, not described

Dropouts/withdrawals: no significant difference between percentages of dropouts in intervention and control group (absolute numbers not reported)

Intention‐to‐treat‐analysis: unclear

Recruitment period: unclear, not described

Observation period: 3 years, started in 1996

Study period: unclear, not described

Detection of cases: unclear; the study followed the diagnostic menu published by the National Cancer Control and Prevention Center, follow‐up procedures not described

Informed consent: unclear, not described

Participants

Country: China

Number of participants: 2065 (selenium group: 1112; placebo group: 953)

Condition: HBs‐Ag carriers with negative AFP and normal ALT living in Qidong, Jiangsu province

Demographics: men only; aged 20 to 65 years (screening group)

Recruitment and setting: recruitment of 2065 HBs‐Ag carriers from 17 villages out of a screening group of 18,000 men

Interventions

Intervention: 0.5 mg sodium selenite p.o. daily for 3 years

Control: placebo

Outcomes

Primary outcome measure: incidence of primary liver cancer

Other: blood selenium levels, activity of glutathione peroxidase

Results: person‐year incidence rate (number of cases/total number of persons) in intervention and control groups:

• 1st year of follow‐up: selenium group 899.25/100,000 (10/1112); placebo group: 1888.77/100,000 (18/953)

• 2nd year of follow‐up: selenium group 1708.60/100,000 (19/1112); placebo group: 4302.20/100,000 (41/953)

• 3rd year of follow‐up: selenium group 3057.55/100,000 (34/1112); placebo group: 5981.11/100,000 (57/953)

Risk estimates [95% CI]

n.r.

Selenium levels in exposure categories

d.n.a.

Notes

Adverse effects were not mentioned.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Randomisation based only on residential area

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Blinding of participants and doctors

Selective reporting (reporting bias)

Low risk

No problems found

Li 2004a

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 14,916 men
Inclusion criteria: participants of Physicians' Health Study who provided blood sample (healthy male physicians); no history of cancer at baseline; several physical conditions excluded at baseline: chronic renal failure, unstable angina pectoris, liver disease, peptic ulcer, history of TIA/stroke/myocardial infarction/gout; no use of vitamin A or beta‐carotene supplements
Name of parent cohort: Physicians' Health Study

Recruitment: 1982
Outcome assessment:  1995

Number of cases:
• Prostate cancer: 586 (male/female: 586/0)

Case definition: incidence

Years of follow‐up: 13

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Statistical methods: logistical regression
Variables controlled in analysis: age at baseline, smoking status, duration of follow‐up
Variables controlled by matching: age, smoking status

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Prostate cancer 
• Highest quintile: OR 0.78 (95% CI 0.54 to 1.13)

Selenium levels in exposure categories

Lowest quintile: 0.060 to 0.090 ppm
Highest quintile: 0.121 to 0.190 ppm

Notes

Lubinski 2011

Methods

Randomised controlled trial

Allocation: random

Sequence generation: unclear

Concealment: unclear

Blinding: described only as double‐blinded

Dropouts/withdrawals: no description

Intention‐to‐treat‐analysis: unclear

Recruitment period: not specified

Treatment duration: unclear

Observation period/dermatological follow‐up:

• Median: 35 months (range 6 to 62 months)

Detection of cases: not described

Informed consent: not described

Participants

Country: Poland

Number of participants: 1135 (randomised to selenium group: 563, to placebo group: 572)

Condition: adult women, BRCA1+ mutation carriers

Demographics: not reported

Recruitment and setting: not reported

Interventions

Intervention:

• 250 µg/d selenium supplied as sodium selenite

Control:

• Placebo

Outcomes

Case definition: incidence

• All cancer

• Primary breast cancer

• Ovarian cancer

Risk estimates [95% CI]

All cancer: HR 1.4 (95% CI 0.9 to 2.0), cases: selenium 60, placebo 45

Primary breast cancer: HR 1.3 (95% CI 0.7 to 2.5), cases: selenium 38, placebo 29

Ovarian cancer: HR 1.3 (95% CI 0.6 to 2.7), cases: selenium 17, placebo 10

Selenium levels in exposure categories

d.n.a

Notes

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Described only as randomised trial

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Described only as double‐blinded

Selective reporting (reporting bias)

Low risk

No problems found

Ma 2017

Methods

Cohort study

Country: China

Participants

Name of parent cohorts: Shangai Men's Health Study (SMHS) and Shangai Women's Health Study (SWHS)

Participants: 133,957 (male/female: 61,470/74,941)
SMHS: 61,480 men
SWHS: 74,941 women

Inclusion criteria:
SMHS: men aged 40 to 74; residents in Shangai with no history of cancer
SWHS: women aged 40 to 70, residents in Shangai with no history of cancer

Recruitment:
SMHS: April 2002 to June 2006
SWHS: March 1997 to May 2000

Outcome assessment: 31 December 2012

Number of cases: 536 (male/female: 344/192)

Case definition: incidence

Years of follow‐up:
SMHS: median: 9.3
SWHS: median: 15.2

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases:
• Hepatocellular carcinoma: 536 (male/female: 344/192)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis:
• Both genders: sex, age at recruitment, body mass index, total physical activity, total intake of energy, vegetable, fruit, red meat, egg, fish, and soy, vitamin E intake, income, education, smoking history, alcohol consumption, family history of liver cancer, history of viral hepatitis/chronic liver disease, history of diabetes, history of cholelithiasis and history of cholecystectomy
• Men: age at recruitment, body mass index, total physical activity, total intake of energy, vegetable, fruit, red meat, egg, fish, and soy, vitamin E intake, income, education, smoking history, alcohol consumption, family history of liver cancer, history of viral hepatitis/chronic liver disease, history of diabetes, history of cholelithiasis and history of cholecystectomy
• Women: age at recruitment, body mass index, total physical activity, total intake of energy, vegetable, fruit, red meat, egg, fish, and soy, vitamin E intake, income, education, smoking history, alcohol consumption, family history of liver cancer, history of viral hepatitis/chronic liver disease, history of diabetes, history of cholelithiasis, history of cholecystectomy, menopausal status, ever had oral contraceptive

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Hepatocellular carcinoma
• Both cohorts: highest quintile: HR 0.86 (95% CI 0.52 to 1.43)
SMHS: highest quintile: HR 0.95 (95% CI 0.51 to 1.76)
SWHS: highest quintile: HR 0.70 (95% CI 0.26 to 1.90)

Selenium levels in exposure categories

SMHS:
• Lowest quintile: < 31.77 µg/d
• Highest quintile: ≥ 54.52 µg/d
SWHS:
• Lowest quintile: < 36.24 µg/d
• Highest quintile: ≥ 61.14 µg/d

Notes

Marshall 2011

Methods

Randomised controlled trial

Allocation: random

Sequence generation: unclear

Concealment: unclear

Blinding: described only as double‐blinded. The central pathologist was also blinded to study assignment.

Dropouts/withdrawals: 13/227 in the selenium arm and 12/225 in the placebo arm were lost to follow‐up.

Intention‐to‐treat‐analysis: yes

Recruitment period: not specified

Treatment duration: not specified

Observation period/dermatological follow‐up:

• Participants were followed for 3 years. They were seen in clinic at baseline and every 6 months thereafter.

Detection of cases: Tissue blocks and corresponding pathology reports for all prostate procedures were to be submitted to the central study pathologist for review.

Informed consent: All participants gave oral and written informed consent in accordance with institutional and federal guidelines. The protocol was approved by the Institutional Review Boards at participating institutions, and was monitored by the Data and Safety Monitoring Committee of SWOG.

Participants

Country: United States

Participants: 452 (randomised to selenium 200 µg/d: 227; to placebo group: 225)

Condition: 40 years of age or older; digital rectal examination; biopsy‐confirmed diagnosis of HGPIN with no evidence of cancer; upper limit of prostate‐specific antigen (PSA) of 10 ng/mL (as measured locally); American Urological Association (AUA) symptom score < 20 (41), signifying no debilitating urinary problems; ambulatory and able to carry out work of a light or sedentary nature

Demographics: Selenium and placebo participants were well balanced with respect to age, race, ethnicity, pre‐study PSA category, vitamin E supplements, and number of cores in the initial biopsy. They also were well balanced in body mass index, baseline blood selenium, performance status, and number of cores revealing HGPIN.

Interventions

Participants were randomised in fashion to placebo or 200 µg/d of selenium, with daily treatment scheduled for 3 years or until a prostate cancer diagnosis.

Recruitment: not reported

End of blinded treatment period: at 3 years

Outcomes

Primary outcome measure:

• progression of HGPIN to prostate cancer over a 3‐year period

Risk estimates [95% CI]

Primary outcomes:

• Adjusted OR 0.913 (95% CI 0.55 to 1.52, P = 0.727) for risk of prostate cancer as a function of treatment group (with placebo as referent group)

Selenium levels in exposure categories

d.n.a.

Notes

OR estimate was given by the trial author.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Described as randomised

Allocation concealment (selection bias)

Low risk

Central randomisation with pathology review

Blinding (performance bias and detection bias)
All outcomes

Low risk

Blinding of participants and personnel

Selective reporting (reporting bias)

Low risk

No problems found

McNaughton 2005

Methods

Matched, nested case‐control study (McNaughton 2005b)

Cohort study (Heinen 2007; van der Pols 2009)

Country: Australia

Participants

Name of parent cohort: Nambour Skin Cancer Study

Recruitment: 1992 to 1996

Case definition: incidence

McNaughton 2005b

Participants: approximately 1000 men and women
Inclusion criteria: randomly selected adults, aged 20 to 69 years; recruited for participation in a randomised controlled trial for skin cancer prevention with beta‐carotene supplements and sunscreen application in 1992; living in the Nambour community; free of SCC at baseline; blood sample and FFQ provided in 1996; participants with extreme energy intakes in FFQ excluded

Outcome assessment: December 2001

Number of cases:
• Basal cell carcinoma of the skin: 90 (male/female: 39/51)

Years of follow‐up: 5.5

Type of selenium marker: serum and intake (FFQ)

Heinen 2007

Participants: 1001 men and women
Inclusion criteria: randomly selected adults, aged 20 to 69 years; recruited for participation in randomised controlled trial for skin cancer prevention with beta‐carotene supplements and sunscreen application in 1992; living in the Nambour community; blood sample and FFQ provided in 1996; participants with extreme energy intakes in FFQ and missing consumption frequencies for more than 10% of food items excluded

Outcome assessment: 31 December 2004

Number of cases:
• Basal cell carcinoma of the skin: 149 (male/female: 87/62) participants with 321 BCC tumours
• Squamous cell carcinoma of the skin: 116 (male/female: 70/46) participants with 221 SCC tumours

Case definition: incidence (tumour‐based incidence and person‐based incidence)

Years of follow‐up: 8

Type of selenium marker: intake (FFQ)

van der Pols 2009:

Participants: 485 (male/female: 223/262) men and women
Inclusion criteria: randomly selected adults, aged 20 to 69 years; recruited for participation in randomised controlled trial for skin cancer prevention with beta‐carotene supplements and sunscreen application in 1992; randomised to placebo in the intervention trial; living in the Nambour community; free of SCC at baseline; blood sample and FFQ provided in 1996; participants with extreme energy intakes in FFQ excluded

Outcome assessment: 31 December 2004

Number of cases:
• Basal cell carcinoma of the skin: 77 (male/female: 46/31) participants with 173 BCC tumours
• Squamous cell carcinoma of the skin: 59 (male/female: 38/21) participants with 124 SCC tumours

Years of follow‐up: 8

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

McNaughton 2005b:
Statistical methods: conditional logistical regression
Variables controlled in analysis: age, gender
Variables controlled by matching: age, gender

Heinen 2007
Statistical methods: generalised linear models
Variables controlled in analysis: age, sex, intervention arm in RCT, energy intake, skin colour, elastosis of the neck, smoking, use of dietary supplements, history of skin cancer

van der Pols 2009
Statistical methods: generalised linear models
Variables controlled in analysis: age, sex, pack‐years of smoking, alcohol intake, time spent outdoors on weekdays, history of skin cancer before 1996

Risk estimates [95% CI]

McNaughton 2005b

Reference category: lowest quartile

Results:
Basal cell carcinoma (skin)
• Both genders: highest quartile: OR 0.86 (95% CI 0.38 to 1.96) biochemical selenium level
• Both genders: highest quartile: OR 1.13 (95% CI 0.47 to 2.74) selenium intake

Heinen 2007

Reference category: lowest tertile

Results:
Basal cell carcinoma (skin)
• Both genders: highest tertile: RR 0.95 (95% CI 0.59 to 1.50)
Squamous cell carcinoma (skin)
• Both genders: highest tertile: RR 1.3 (95% CI 0.77 to 2.3)

van der Pols 2009

Reference category: lowest exposure category

Results:
Basal cell carcinoma (skin)
• Both genders: highest exposure category: RR 0.58 (95% CI 0.32 to 1.07)
Squamous cell carcinoma (skin)
• Both genders: highest exposure category: RR 0.49 (95% CI 0.24 to 0.99)

Selenium levels in exposure categories

McNaughton 2005b
n.r.

Heinen 2007
• Lowest tertile ≤ 76.20 µg/d
• Highest tertile ≥ 89.31 µg/d

van der Pols 2009
• Lowest exposure category ≤ 78.96 µg/L
• Highest exposure category ≥ 102.65 µg/L

Notes

Primary publication:McNaughton 2005b
Other publications: Heinen 2007, van der Pols 2009

Tumour‐based incidence: number of newly developed histologically confirmed BCCs or SCCs divided by person‐years of follow‐up accumulated over follow‐up period

Person‐based incidence: number of persons newly affected by BCC or SCC during the same person‐years of follow‐up time as calculated for the tumour‐based analysis

Menkes 1986

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 20,305 men and women
Inclusion criteria: female and male inhabitants of Washington county/Maryland; history of cancer at baseline excluded
Name of parent cohort: CLUE I Cohort

Recruitment: September to November 1974

Menkes 1986b
Outcome assessment: 1983

Number of cases:
• Lung cancer: 99 (69% male/31% female)

Helzlsour 1996
Inclusion criteria: women only; women who used hormones at baseline excluded
Outcome assessment: 1989

Number of cases:
• Ovarian cancer: 35 (male/female: 0/35)

Breslow 1995
Outcome assessment: 1994

Number of cases:
• Melanoma: 23 (male/female: n.r.)
• Basal cell carcinoma (skin): 17 (male/female: n.r.)
• Squamous cell cancer: 37 (male/female: n.r.)

Zheng 1993
Outcome assessment: 1990

Number of cases:
• Oral and pharyngeal: 28 (male/female: n.r.)

Batieha 1993
Inclusion criteria: 15,161 women
Outcome assessment: 31 May 1990

Number of cases:
• Cervical cancer: 50 (male/female: 0/50)

Helzlsour 1989
Inclusion criteria: 20,305 men and women
Outcome assessment: 1986

Number of cases:
• Bladder cancer: 35 (male/female: n.r.)

Burney 1989
Outcome assessment: 1986

Number of cases:
• Pancreatic cancer: 22 (male/female: 9/13)

Ko 1994
Outcome assessment: 25 September 1991

Number of cases:
• Colon cancer: 121 (male/female: 50/71)

Case definition: incidence

Years of follow‐up: 8.0 to 16.8

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Menkes 1986b
Statistical methods: conditional logistical regression
Variables controlled by matching: age, gender, race/ethnicity, smoking status, year and month of sample collection

Helzlsour 1986
Statistical methods: conditional logistical regression
Variables controlled by matching: age, race/ethnicity, day and time of blood sample collection, hours since last meal, time since last menstrual period (postmenopausal: years, premenopausal: days)

Breslow 1995
Statistical methods: conditional logistical regression
Analysed cases: 17 of 98 basal cell carcinoma cases and 23 of 30 melanoma cases (and all squamous cell carcinoma cases) included in analysis
Variables controlled by matching: age, gender, race/ethnicity

Zheng 1993
Statistical methods: n.r.
Variables controlled in analysis: smoking
Variables controlled by matching: age, gender, race/ethnicity, year and month of sample collection, hours between previous meal and blood collection

Batieha 1993
Statistical methods: conditional logistical regression
Analysed cases: 50 of 60 (CIS and invasive cervical cancer) (reason for non‐inclusion: no matched control available)
Variables controlled by matching: age, race/ethnicity, year and month of blood collection, hours since last meal, time since last menstrual period

Helzlsour 1989
Statistical methods: n.r.
Variables controlled in analysis: cigarette smoking, use of vitamin supplements
Variables controlled by matching: age, gender, race/ethnicity, hours since last meal (all samples collected in same year)

Burney 1989
Statistical methods: n.r.
Variables controlled by matching: age, gender, race/ethnicity, hours since last meal

Ko 1994
Analysed cases: 121 of 154 (reason for non‐inclusion: no serum sample available, tumour pathology or localisation unclear)
Statistical methods: conditional logistical regression
Variables controlled by matching: age, gender, race/ethnicity, year and month of sample collection, hours since last meal, women: time since last menstrual period, women: use of hormones/hormonal contraceptives

Risk estimates [95% CI]

Menkes 1986b
Reference category: highest quintile

Results:
Lung cancer
• Both genders: lowest quintile: OR 0.68 (CI not reported)

Helzlsouer 1986
Reference category: lowest tertile

Results:
Ovarian cancer 
• Highest tertiles: OR 0.58 (95% CI 0.20 to 1.70)

Breslow 1995
Reference category: lowest tertile

Results:
Melanoma          
• Both genders: highest tertile: OR 0.9 (95% CI 0.3 to 2.5)
Basal cell carcinoma (skin) 
• Both genders: highest tertile: OR 0.8 (95% CI 0.1 to 4.5)
Squamous cell cancer   
• Both genders: highest tertile: OR 0.6 (95% CI 0.2 to 1.5)

Zheng 1993
Reference category: lowest tertile

Results:
Oral and pharyngeal cancer 
• Both genders: highest tertile: OR 5.43 (CI not reported)

Batieha 1993
Reference category: highest tertile

Results:
Cervical cancer  
• Lowest tertile: OR 1.12 (95% CI 0.50 to 2.53)

Helzlsour 1989
Reference category: highest tertile

Results:
Bladder cancer 
• Both genders: lowest tertile: OR 2.06 (95% CI 0.67 to 6.35)

Burney 1989
Reference category: highest tertile

Results:
Pancreatic cancer  
• Both genders: lowest tertile: OR 4.5 (CI not reported) (unmatched analysis)
• Both genders: lowest tertile vs higher 2 tertiles: OR 3.90 (95% CI 1.13 to 13.2) (matched analysis)
• Male: 12.5 (95% CI 1.8 to 84.0) (unmatched analysis)
• Female: 1.2 (95% CI 0.6 to 2.5) (unmatched analysis)

Ko 1994
Reference category: highest quartile

Results:
Colon cancer
• Both genders: lowest quartile: OR 0.82 (95% CI 0.35 to 1.92)

Selenium levels in exposure categories

Menkes 1986b
• Quintiles: n.r.

Helzlsouer 1986
Women
• Lowest tertile: ≤ 105.0 µg/L
• Highest tertile: ≥ 116.1 µg/L

Breslow 1995
• Tertiles: n.r.  

Zheng 1993
• Tertiles: n.r.

Batieha 1993
Women
• Lowest tertile: ≤ 0.109 ppm
• Highest tertile: ≥ 0.124 ppm

Helzlsour 1989
Both genders
• Lowest tertile: ≤ 109.0 µg/L
• Highest tertile: ≥ 119.1 µg/L

Burney 1989
• Lowest: 0.99 to 1.26 µmol/L; highest: 1.44 to 1.81 µmol/L

Ko 1994
• Lowest quartile: ≤ 99.0 µg/L
• Highest quartile: ≥ 118.1 µg/L

Notes

Primary publication:Menkes 1986b
Other publications: Helzlsour 1996, Breslow 1995, Zheng 1993, Batieha 1993, Helzlsour 1989, Burney 1989, Ko 1994, Schober 1987 (cases included in Ko 1994), Menkes 1986a (case included in Menkes 1986b)

Michaud 2002

Methods

Matched, nested case‐control study

Country: Finland

Participants

Participants: 29,133 men
Inclusion criteria: 50 to 69 years of age; smokers; no history of cancer (other than non‐melanoma skin cancer) at baseline; no severe physical or psychiatric illness; intake of vitamin E/A/beta‐carotene supplements in excess of defined amounts
Name of parent cohort: Alpha‐Tocopherol, Beta‐Carotene Cancer Prevention (ATBC) Study

Recruitment: 1985 to 1988
Outcome assessment: 30 April 1993

Number of cases:
• Bladder cancer: 133 (male/female: 133/0)

Case definition: incidence

Years of follow‐up: 5 to 8

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: smoking dose and duration
Variables controlled by matching: age, year/month of sample collection, intervention group status in RCT (only male smokers included in cohort)

Risk estimates [95% CI]

Reference category: lowest tertile/quartile

Results:
Bladder cancer
• Male: highest tertile: OR 0.90 (95% CI 0.45 to 1.78)
• Male: highest quartile: OR 0.87 (95% CI 0.30 to 2.52)

Selenium levels in exposure categories

n.r.

Notes

Michaud 2005

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 101,950 (male/female: 33,737/68,213)
Inclusion criteria: cohort of HPFS (men) and NHS (women); no history of cancer at baseline
Name of parent cohort: Health Professional Follow‐Up Study (HPFS) and Nurses' Health Study (NHS)

Recruitment: 1987 (HPFS), 1983 (NHS)
Outcome assessment: 2000

Number of cases:
• Bladder cancer: 337 (male/female: 221/116)

Case definition: incidence

Years of follow‐up: 13 to 17

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: pack‐years of smoking, heavy smoking at baseline
Variables controlled by matching: age, gender, smoking status, month of sample collection

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Bladder cancer  
• Male: highest quartile: OR 1.17 (95% CI 0.66 to 2.07)
• Female: highest quartile: OR 0.36 (95% CI 0.14 to 0.91)

Selenium levels in exposure categories

Men
• Lowest quartile: ≤ 0.722 µg/g
• Highest quartile: ≥ 0.912 µg/g

Women
• Lowest quartile: ≤ 0.686 µg/g
• Highest quartile: ≥ 0.840 µg/g

Notes

Muka 2017

Methods

Cohort study

Country: the Netherlands

Participants

Name of parent cohort: The Rotterdam Study

Participants: 5435 (male/female: n.r.)

Inclusion criteria: aged ≥ 55 and living in the Ommoord district

Recruitment: 1989 to 1993

Outcome assessment: December 2011

Number of cases: 211 (male/female: 128/83)

Case definition: incidence

Years of follow‐up: mean: 15.2

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases: 211 (male/female: 128/83)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, sex, alcohol intake, body mass index, smoking status, physical activity, Dutch healthy diet index, dietary processed meat intake, dietary unprocessed red meat intake, total energy intake, hormone replacement therapy, diabetes mellitus, education status, income status, total energy, adjusted sum of other minerals (excluding selenium), and family history of cancer

Risk estimates [95% CI]

Reference category: lowest tertile

Results:
Lung cancer

• Highest tertile: HR 1.39 (95% CI 0.97 to 1.99)

Selenium levels in exposure categories

n.r.

Notes

Lung cancer: highest tertile: HR 1.44 (95% CI 0.98 to 2.11) after exclusion of lung cancer within the first 2 years of follow‐up

Nomura 1987

Methods

Unmatched, nested case‐control study

Country: United States

Participants

Participants: 6860 men
Inclusion criteria: born 1900 to 1919; Japanese ancestry; inhabitants of Oahu/Hawaii; participants in the Honolulu Heart Program (1965 to 1968)
Name of parent cohort: Honolulu Heart Program

Recruitment: 1971 to 1975
Outcome assessment: n.r.

Number of cases:
• Any cancer: 280 (male/female: 280/0)
• Stomach cancer: 66 (male/female: 66/0)    
• Rectal cancer: 32 (male/female: 32/0)
• Lung cancer: 71 (male/female: 71/0)
• Colon cancer: 82 (male/female: 82/0)
• Bladder cancer: 29 (male/female: 29/0)

Case definition: incidence

Years of follow‐up: 11

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: proportional hazard regression/Cox regression
Variables controlled in analysis:
• Age at examination, cigarettes/d (any cancer, lung cancer, bladder cancer)
• Age at examination (stomach, rectum, colon)

Risk estimates [95% CI]

Reference category: highest quintile

Results:
Stomach cancer
• Male: lowest quintile: OR 0.9 (CI not reported)
Rectal cancer  
• Male: lowest quintile: OR 1.6 (CI not reported)
Lung cancer 
• Male: lowest quintile: OR 1.1 (CI not reported)
Colon cancer 
• Male: lowest quintile: OR 1.8 (CI not reported)
Bladder cancer  
• Male: lowest quintile: OR 3.1 (CI not reported)
All five types of cancer    
• Male: lowest quintile: OR 1.3 (CI not reported)

Selenium levels in exposure categories

Lowest quintile: ≤ 103.0 µg/L
Highest quintile: ≥ 133.1 µg/L

Notes

N.B.: "Any cancer" in this study comprises all cancer cases for stomach, rectal, lung, colon, and bladder cancer.

Nomura 2000

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 9345 men
Inclusion criteria: no cancer diagnosis at baseline, blood sample available for analysis, men from 2 cohorts: subcohort 1: participants of Nomura 1987; subcohort 2: brothers of participants in Nomura 1987

Recruitment: 1971 to 1977
Outcome assessment: 1995

Number of cases:
• Prostate cancer: 249 (male/female: 249/0) 

Case definition: incidence

Years of follow‐up: 19 to 25

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: random sample of 249 (out of 360) because of limited resources
Statistical methods: generalised linear model
Variables controlled in analysis: cigarette smoking history, age
Variables controlled by matching: age, year/month of sample collection, recruitment in subcohort 1 or 2

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Prostate cancer
• Highest quartile: OR 0.5 (95% CI 0.3 to 0.9)

Selenium levels in exposure categories

Lowest quartile: ≤ 119.29 µg/L
Highest quartile: ≥ 147.20 µg/L

Notes

NPCT 2002

Methods

Randomised controlled trial

Nutritional Prevention of Cancer Trial (NPCT)

Allocation: random, block/stratified by clinic

Sequence generation: computer‐generated random numbers

Concealment: central assignment (sealed pill bottles)

Blinding: participant blinded, doctor blinded, outcome assessor/pathologist unclear, review/coding of medical records blinded

Dropouts/withdrawals: “9 patients (5 in the selenium group and 4 in the placebo group) declined to provide additional illness information” (Clark 1996, p. 1959)  ‐ 0 participants lost to vital follow‐up

Intention‐to‐treat‐analysis: yes

Recruitment period: 1983 to 1991

End of predefined study period: 31 December 1993

Blinded intervention continued until end of blinded period: 31 January 1996

Intervention duration:

• 31 December 1993 (end of study period): mean = 4.5 years

• 31 January 1996 (end of blinded period): mean = 7.9 years

Observation period/dermatological follow‐up:

• 31 December 1993 (end of study period): mean = 6.4 years

• 31 January 1996 (end of blinded period): mean = 7.4 years

Detection of cases: dermatological examination and interview every 6 months during follow‐up; incident BCC and SCC diagnosed by biopsy and confirmed by another dermatopathologist

Informed consent: written informed consent forms, approval by institutional review board of participating institutions

Participants

Country: United States

Participants: 1312 (randomised to selenium group: 653; to placebo group: 659)

Condition: male and female participants with history of 2 or more squamous cell or basal cell skin cancers

Demographics: mean age 63.4 years (selenium)/63.0 years (placebo); 73.8% men (selenium), 75.6% men (placebo)

Recruitment and setting: 7 dermatological clinics (3 academic units, 4 private practices) in the United States

Interventions

Intervention: 200 µg selenium supplied as 500 mg selenium yeast tablets p.o. daily

Control: placebo

Outcomes

Primary outcome measure: incidence of basal and squamous cell carcinoma of the skin:

• All analyses were based on 1250 participants with initial blood collection within 4 days after randomisation (621 in the selenium group and 629 in the placebo group)

Other reported outcomes and secondary outcome measures:

• Reported in Clark 1996: incidence of lung cancer, prostate cancer, colorectal cancer, any cancer, head and neck cancer, bladder cancer, oesophageal cancer, breast cancer, melanoma, haematological cancer

• Reported in Duffield‐Lillico 2002: overall cancer mortality

Risk estimates [95% CI]

Primary outcomes:

At end of study period (31 December 1993) (Clark 1996)

• BCC: RR 1.10 (95% CI 0.95 to 1.28); cases: selenium group: 377, placebo group: 350; incidence per person‐year under follow‐up: selenium group 0.16, placebo group 0.15

• SCC: RR 1.14 (95% CI 0.93 to 1.39); cases: selenium group 218, placebo group: 190; incidence per person‐year under follow‐up: selenium group 0.07, placebo group 0.06

At end of blinded period (31 January 1996) (Duffield‐Lillico 2003)

• BCC: RR 1.17 (95% CI 1.02 to 1.35), HR 1.09 (95% CI 0.94 to 1.26); number of cases not reported; incidence per person‐year under follow‐up: selenium group: 0.16, placebo group 0.13

• SCC: RR 1.32 (95% CI 1.09 to 1.60), HR 1.25 (95% CI 1.03 to 1.51); number of cases not reported; incidence per person‐year under follow‐up: selenium group: 0.05, placebo group 0.07

• NMSC: RR 1.27 (95% CI 1.11 to 1.45), HR 1.17 (95% CI 1.02 to 1.34); number of cases not reported; incidence per person‐year under follow‐up: selenium group: 0.20, placebo group 0.16

Other reported outcomes and secondary outcomes:

At end of study period (31 December 1993) (Clark 1996)

• Lung cancer: RR 0.54 (95% CI 0.30 to 0.98), adjusted HR 0.56 (95% CI 0.31 to 1.01) cases selenium: 17, placebo: 31

• Prostate cancer: RR 0.37 (95% CI 0.18 to 0.71), adjusted HR 0.35 (95% CI 0.18 to 0.65) cases selenium: 13, placebo: 35

• Colorectal cancer: RR 0.42 (95% CI 0.18 to 0.95), adjusted HR 0.39 (95% CI 0.17 to 0.90) cases selenium: 8, placebo: 19

• Any cancer: RR 0.63 (95% CI 0.47 to 0.85), adjusted HR 0.61 (95% CI 0.46 to 0.82) cases selenium: 77, placebo: 119

• Head and neck cancer: RR 0.74 (95% CI 0.21 to 2.43), adjusted HR 0.77 (95% CI 0.27 to 2.24) cases selenium: 6, placebo: 8

• Bladder cancer: RR 1.32 (95% CI 0.40 to 4.61), adjusted HR 1.27 (95% CI 0.44 to 3.67) cases selenium: 8, placebo: 6

• Oesophageal cancer: RR 0.33 (95% CI 0.03 to 1.84), adjusted HR 0.30 (95% CI 0.06 to 1.49) cases selenium: 2, placebo: 6

• Breast cancer: RR 2.88 (95% CI 0.72 to 16.5), adjusted HR 2.95 (95% CI 0.80 to 10.9) cases selenium: 9, placebo:3

• Melanoma: RR 0.97 (95% CI 0.32 to 2.96), adjusted HR 0.92 (95% CI 0.34 to 2.45) cases selenium: 8, placebo: 8

• Haematological cancer: RR 1.58 (95% CI 0.46 to 6.14), adjusted HR 1.50 (95% CI 0.49 to 4.60) cases selenium: 8, placebo: 5

• Other specific carcinomas: RR 0.55 (95% CI 0.14 to 1.82), adjusted HR 0.54 (95% CI 0.18 to 1.62), cases selenium: 5, placebo: 9

• Total carcinoma: RR 0.55 (95% CI 0.40 to 0.77), adjusted HR 0.54 (95% CI 0.39 to 0.75), cases selenium: 59; placebo: 104

• Leukaemia/lymphoma: RR 1.58 (95% CI 0.46 to 6.14), adjusted HR 1.50 (95% CI 0.49 to 4.60), cases selenium: 8, placebo 5

• Other specific non‐carcinomas: RR 0.99 (95% CI 0.13 to 7.37), HR 0.99 (95% CI 0.20 to 4.94), cases selenium: 3, placebo: 3

• Total non‐carcinomas: RR 1.17 (95% CI 0.57 to 2.44), adjusted HR 1.16 (95% CI 0.60 to 2.27), cases selenium: 19; placebo: 16

At end of blinded period (31 January 1996) (Duffield‐Lillico 2002)

• Lung cancer: RR 0.70 (95% CI 0.40 to 1.21), adjusted HR 0.74 (95% CI 0.44 to 1.24), cases selenium: 25, placebo: 35

• Prostate cancer: RR 0.51 (95% CI 0.29 to 0.87), adjusted HR 0.48 (95% CI 0.28 to 0.80), cases selenium: 22, placebo: 42

• Colorectal cancer: RR 0.46 (95% CI 0.19 to 1.08), adjusted HR 0.46 (95% CI 0.21 to 1.02), cases selenium: 9, placebo: 19

• Any cancer: RR 0.75 (95% CI 0.58 to 0.98), adjusted HR 0.75 (95% CI 0.58 to 0.97), cases selenium: 105, placebo: 137

• Head and neck cancer: RR 1.27 (95% CI 0.42 to 4.01), adjusted HR 1.27 (95% CI 0.47 to 3.42), cases selenium: 9, placebo: 7

• Bladder cancer: RR 1.24 (95% CI 0.44 to 3.61), adjusted HR 1.28 (95% CI 0.50 to 3.25), cases selenium: 10, placebo: 8

• Oesophageal cancer: RR 0.39 (95% CI 0.04 to 2.41), adjusted HR 0.40 (95% CI 0.08 to 2.07), cases selenium: 2, placebo: 5

• Breast cancer: RR 1.82 (95% CI 0.62 to 6.01), adjusted HR 1.89 (95% CI 0.69 to 5.14), cases selenium: 11, placebo: 6

• Melanoma: RR 1.21 (95% CI 0.46 to 3.30), adjusted HR 1.18 (95% CI 0.49 to 2.85), cases selenium: 11, placebo: 9

• Haematological cancer (lymphoma and leukaemia): RR 1.32 (95% CI 0.40 to 4.61), adjusted HR 1.25 (95% CI 0.43 to 3.61), cases selenium: 8, placebo: 6

• Cancer mortality, all sites: RR 0.59 (95% CI 0.39 to 0.89), adjusted HR 0.59 (95% CI 0.39 to 0.87), cases selenium: 40, placebo: 66

• Other carcinomas: RR 0.66 (95% CI 0.19 to 2.07), adjusted HR 0.67 (95% CI 0.24 to 1.88), cases selenium: 6, placebo:9

• Other non‐carcinomas: RR 0.59 (95% CI 0.09 to 3.04), adjusted HR 0.59 (95% CI 0.14 to 2.47), cases selenium: 3, placebo: 5

Selenium levels in exposure categories

d.n.a.

Notes

Adverse effects: Clark 1996: 35 participants (21 in selenium and 14 in control group) complained of adverse effects, mostly involving gastrointestinal upset, and withdrew treatment.

Post hoc introduced secondary outcomes: all‐cause mortality, total cancer mortality, total cancer incidence, and incidence of lung/prostate/colorectal cancers

HR: adjusted for sex, age, smoking status, clinic site, plasma selenium concentration, clinical sun damage, sunscreen use at baseline, and number of BCCs/SCCs/NMSCs in the 12 months before randomisation

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random, block/stratified by clinic, computer‐generated random numbers

Allocation concealment (selection bias)

Low risk

Central assignment (sealed pill bottles)

Blinding (performance bias and detection bias)
All outcomes

Unclear risk

Occurrence of a detection bias, namely, a considerably higher rate of prostate biopsy in the placebo group

Selective reporting (reporting bias)

Low risk

No problems found

O'Grady 2014

Methods

Cohort study

Country: United States

Participants

Name of parent cohort: National Institute of Health‐American Association of Retired Persons (NIH‐AARP) Diet and Health Study

Participants: 482,807 (male/female: 287,944/194,863)

Inclusion criteria: 50 to 71 years of age, AARP members, no previous diagnosis of cancer other than NMSC

Recruitment: 1995 to 1996

Outcome assessment: December 2006

Number of cases: 592 (male/female: 257/335)

Case definition: incidence

Years of follow‐up: mean: 9.1

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases:
• Total thyroid cancer: 592 (male/female: 257/335)
• Papillary thyroid cancer subtype: 406 (male/female: 164/242)
• Follicular thyroid cancer subtype: 113 (male/female: 57/56)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: entry age, sex, calories, smoking status, race, education, BMI, physical activity, vitamin C, vitamin E, beta‐carotene, and folate

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Total thyroid cancer
• Both genders: highest quintile: HR 1.35 (95% CI 0.99 to 1.84)
• Male: highest quintile: HR 1.23 (95% CI 0.71 to 2.12)
• Female: highest quintile: HR 1.14 (95% CI 0.65 to 2.02)
Papillar subtype
• Both genders: highest quintile: HR 1.35 (95% CI 0.92 to 1.98)
• Male: highest quintile: HR 1.32 (95% CI 0.65 to 2.69)
• Female: highest quintile: HR 1.29 (95% CI 0.68 to 2.46)
Follicular subtype
• Both genders: highest quintile: HR 1.41 (95% CI 0.71 to 2.79)
• Male: highest quintile: HR 1.32 (95% CI 0.43 to 4.03)
• Female: highest quintile: HR 0.88 (95% CI 0.20 to 3.87)

Selenium levels in exposure categories

Lowest quintile: median 47 µg/d
Highest quintile: median 150.1 µg/d

Notes

Outzen 2016

Methods

Matched, nested case‐control study

Country: Denmark

Participants

Name of parent cohort: Danish Prospective Diet, Cancer and Health Study

Participants: 27,179 men

Inclusion criteria: aged 50 to 64, born in Denmark, residents in the Copenhagen and Aarhus areas, no previous history of cancer

Recruitment: December 1993 to May 1997

Outcome assessment: 31 December 2007

Number of cases: 911 (male/female: 911/0)

Case definition: incidence

Years of follow‐up: 8

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysed cases:

Prostate cancer

• 784 (male/female: 784/0)

Statistical methods: conditional logistical regression

Variables controlled in analysis: body mass index, education, smoking status, duration and frequency, and participation in sport

Variables controlled by matching: age at blood collection, time of day of blood collection, and fasting status

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Prostate cancer

• Highest quartile: OR 0.95 (95% CI 0.70 to 1.29)

Selenium levels in exposure categories

Lowest quartile: ≤ 71.4 μg/d
Highest quartile: > 88.9 μg/d

Notes

Overvad 1991

Methods

Cohort/subcohort controlled cohort study

Country: Channel Islands (UK)

Participants

Participants: 5162 women
Inclusion criteria: ≥ 35 years of age; ostensibly healthy inhabitants of Guernsey
Name of parent cohort: Channel Island Cohort

Recruitment: 1967 to 1976
Outcome assessment: end of 1985

Number of cases:
• Breast cancer: 46 (male/female: 0/46)

Case definition: incidence

Years of follow‐up: mean: 11 years for cases

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysed cases: 46 of 88 (reason for non‐inclusion: no plasma available)
Statistical methods: logistical regression
Variables controlled in analysis: age, age at menarche, age at first baby, parity, BMI

Risk estimates [95% CI]

Reference category: highest quartile

Results:
Breast cancer
• Lowest quartile: RR 0.80 (95% CI 0.29 to 2.19)

Selenium levels in exposure categories

Lowest quartile: ≤ 84.90 µg/L
Highest quartile: ≥ 116.00 µg/L

Notes

Pantavos 2015

Methods

Cohort study

Country: the Netherlands

Participants

Name of parent cohort: The Rotterdam Study

Participants: 4877 women

Inclusion criteria: aged ≥ 55 and living in the Ommoord district. no history of previous breast cancer

Recruitment: July 1989 to September 1993

Outcome assessment: December 2010

Number of cases: 199 (male/female: 0/199)

Case definition: incidence

Years of follow‐up: median: 17 years

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases: 199 (male/female: 0/199)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, body mass index, education level, family history of breast cancer, smoking status, alcohol consumption, use of multi‐vitamin supplement

Risk estimates [95% CI]

Reference category: lowest tertile

Results:
Breast cancer

• Highest tertile: HR 1.34 (95% CI 0.94 to 1.91)

Selenium levels in exposure categories

Lowest tertile: median 23.58 µg/d
Highest tertile: median 37.46 µg/d

Notes

Park 2015

Methods

Cohort study

Country: United States (Hawaii and California)

Participants

Name of parent cohort: The Multiethnic Cohort

Participants: 75,216 men

Inclusion criteria: aged 45 to 75, African Americans, Native Hawaiians, Japanese American, Latinos, and white men, without a previous diagnosis of prostate cancer

Recruitment: 1993 to 1996

Outcome assessment: 31 December 2010

Number of cases:

• Prostate cancer: 7115

Case definition: incidence

Years of follow‐up: mean: 13.9

Type of selenium marker: intake

Interventions

d.n.a.

Outcomes

Analysed cases:

• Prostate cancer: 7115

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age at entry, race/ethnicity, family history of prostate cancer, body mass index, height, smoking status, education level, history of diabetes, physical activity, daily intakes of alcohol, calcium, legume, and lycopene

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Prostate cancer

• Highest quintile: RR 1.01 (95% CI 0.84 to 1.20)

Selenium levels in exposure categories

Lowest quintile: < 44.0 µg/1000 kcal/d
Highest quintile ≥ 60.1 µg/1000 kcal/d

Notes

Peleg 1985

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 2530 men and women
Inclusion criteria: 15 years of age and older; residents of Evans County; cases within first 2 years of follow‐up excluded
Name of parent cohort: Evans County Study

Recruitment: 1967 to 1969
Outcome assessment: January 1981

Number of cases:
• Any cancer: 130 (male/female: 78/52)

Case definition: incidence

Years of follow‐up: 11 to 14

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: n.r.
Variables controlled by matching: age, gender, race/ethnicity, year/month of sample collection

Risk estimates [95% CI]

Reference category: highest quartile

Results:
Any cancer  
• Both genders: lowest quartile: OR 1.0 (CI not reported)

Selenium levels in exposure categories

Lowest quartile: ≤ 103 µg/L
Highest quartile: ≥ 127 µg/L  

Notes

Peters 2007

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 26,975 white non‐Hispanic men
Inclusion criteria: 55 to 74 years of age; excluded: no baseline questionnaire/informed consent/blood sample, no further contact after screening
Name of parent cohort: Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial

Recruitment: September 1993 to June 2001
Outcome assessment: 1 October 2001

Number of cases:
• Prostate cancer: 724 (male/female: 724/0)

Case definition: incidence

Years of follow‐up: 0.3 to 8.0

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 724 of 803 (reason for non‐inclusion: no selenium measurement available)
Statistical methods: n.r.
Variables controlled in analysis: age, time since initial screening, year of blood collection, study centre
Variables controlled by matching: age, month of sample collection, time since initial screening

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Prostate cancer             
• Highest quartile: OR 0.84 (95% CI 0.62 to 1.14)

Selenium levels in exposure categories

Lowest quartile: 50.5 to 126.7 µg/L
Highest quartile: 158.0 to 253.0 µg/L

Notes

Peters 2008

Methods

Cohort study

Country: United States

Participants

Inclusion criteria: aged 50 to 76 years, participants recruited from subscribers to commercial mailing list, residents of western Washington state, non‐whites excluded, no malignant disease at baseline

Name of parent cohort: Vitamins and Lifestyle (VITAL) study

Recruitment: 1 October 2000 to 31 December 2002

Type of selenium marker: supplemental intake (questionnaire: use of supplements over past 10 years, mean supplemental intake/day calculated)

Case definition: incidence

Peters 2008

Participants: 35,242 men

Outcome assessment: 31 December 2004

Number of cases:
• Prostate cancer: 818 (male/female: 818/0) 

Years of follow‐up: 2 to 4

Asgari 2009

Participants: 69,671 men and women

Outcome assessment: 31 December 2006

Number of cases:
• Melanoma: 461 (male/female: n.r.)

Years of follow‐up: 4 to 5 years

Interventions

d.n.a.

Outcomes

Peters 2008

Analysed cases: 818 of 830 (reason for non‐inclusion: not reported)
Statistical methods: Cox proportional hazard regression analysis
Variables controlled in analysis: age, family history of prostate cancer, BPH, income, multi‐vitamin use

Asgari 2009

Analysed cases: 1 case not analysed (reason for non‐inclusion: not reported)

Statistical methods: Cox proportional hazard regression

Variables controlled in analysis: age, sex, education, family history of melanoma, personal history of non‐melanoma skin cancer, mole removal, freckles, sunburns, hair colour, reaction to sunlight exposure

Risk estimates [95% CI]

Reference category: no supplemental selenium intake (lowest exposure category)

Peters 2008

Results:
Prostate cancer
• Highest exposure category: RR 0.90 (95% CI 0.62 to 1.30)

Asgari 2009

Results:
Melanoma
• Highest exposure category HR 0.98 (95% CI 0.69 to 1.41)

Selenium levels in exposure categories

Stratification according to supplemental selenium intake

Peters 2008
• Lowest category: no supplemental intake
• Highest category ≥ 51 µg/d

Asgari 2009

• Lowest exposure category: no supplemental intake
• Highest exposure category ≥ 50 µg/d

Notes

Ratnasinghe 2000

Methods

Matched, nested case‐control study

Country: China

Participants

Participants: 9143 men
Inclusion criteria: 35 years or older; tin miners employed by the Yunnan Tin Corporation; 10 or more years of underground mining/smelting; no history of cancer at baseline

Recruitment: 1992 to 1997
Outcome assessment: 1997

Number of cases:
• Lung cancer: 108 (male/female: 108/0)

Case definition: incidence

Years of follow‐up: ≈ 3

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: plasma available for 108 of a total of 339 identified cases
Statistical methods: logistical regression, conditional logistical regression, Wilcoxon rank sum test 
Variables controlled in analysis: radon exposure, smoking
Variables controlled by matching: age, year and month of sample collection

Risk estimates [95% CI]

Reference category: lowest tertile

Results:
Lung cancer
• Highest tertile: OR 1.2 (95% CI 0.6 to 2.4)

Selenium levels in exposure categories

Lowest tertile: 20 to 39 µg/L
Highest tertile: 55 to 121 µg/L

Notes

Reid 2008

Methods

Randomised controlled trial

Substudy of the Nutritional Prevention of Cancer Trial (NPCT 2002)

Allocation: random

Sequence generation: computer‐generated random numbers

Concealment: central assignment (sealed pill bottles)

Blinding: participant blinded, doctor blinded, outcome assessor/pathologist unclear, review/coding of medical records blinded

Dropouts/withdrawals: 2 participants declined to provide additional illness information, no participant lost to vital follow ‐up

Intention‐to‐treat‐analysis: yes

Recruitment period: 1989‐1992

Treatment duration:

• Blinded intervention continued until the end of the blinded period; 1 February 1996.

Observation period/dermatological follow‐up:

1 February 1996

Detection of cases: dermatological examination and interview every 6 months during follow‐up; incident BCC and SCC diagnosed by biopsy and confirmed by another dermatopathologist

Informed consent: written informed consent forms, approval by institutional review boards of participating institutions

Participants

423 male and female participants with prior non‐melanoma skin cancer

Country: United States

Participants: 423 (randomised to selenium group: 210, to placebo group: 213)

Condition: male and female with history of 2 or more squamous cell or basal cell skin cancers

Demographics: mean age 63.8 years (selenium)/63.8 years (placebo); 66.2% men (selenium). 68.2% men (placebo)

Recruitment and setting: dermatological clinic in Macon, Georgia

Interventions

Intervention:

• 400 µg selenium supplied as selenium yeast tablets p.o. daily

Control:

• Placebo

• 400 µg/d of selenium yeast or identical‐appearing low selenium yeast placebo

Recruitment: 12 September 1989 to 3 April 1992

End of blinded treatment period: 2 February 1996

Outcomes

Primary outcome measure: incidence of basal and squamous cell carcinoma of the skin

• All analyses were based on n = 423 participants with initial blood collection within 4 days after randomisation

Other reported outcomes:

• Total internal cancer incidence

Risk estimates [95% CI]

Primary outcomes:

• BCC: RR 0.90 (95% CI 0.65 to 1.24); cases: selenium group: 76, placebo group: 83; adjusted HR: 0.95 (95% CI 0.69 to 1.29)

• SCC: RR 1.05 (95% CI 0.71 to 1.56); cases: selenium group: 56, placebo group: 53; adjusted HR: 1.05 (95% CI 0.72 to 1.53)

• NMSC: RR 0.88 (95% CI 0.66 to 1.16); cases: selenium group: 98, placebo group: 108; adjusted HR: 0.91 (95% CI 0.69 to 1.20)

• NMSC in women: RR 0.40 (95% CI 0.20 to 0.80)

Other reported outcomes:

• Total internal cancer incidence:

RR 1.10 (95% CI 0.57 to 2.17); cases: selenium group: 21, placebo group: 19

Selenium levels in exposure categories

d.n.a.

Notes

Information on study design, which was not reported in Reid 2008, was taken from information available on the Nutritional Prevention of Cancer Trial.

Adverse effects: not reported

HR: adjusted for: age (continuous), smoking status (never, former, current), gender

Ringstad 1988

Methods

Matched, nested case‐control study

Country: Norway

Participants

Participants: 9364 men and women
Inclusion criteria: 20 to 54 years of age (men), 20 to 49 years of age (women); inhabitants of Tromso; blood sample provided in 1979; no history of cancer at baseline
Name of parent cohort: Tromso Heart Study II

Recruitment: 1979 to 1980
Outcome assessment: 1985

Number of cases:
• Any cancer: 60 (male/female: 26/34)

Case definition: incidence

Years of follow‐up: 5 to 7

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 60 of 72 (reason for non‐inclusion: no sample available)
Statistical methods: n.r.
Variables controlled by matching: age, gender, smoking status, month of sample collection, place of residence (district of Tromso)

Risk estimates [95% CI]

Reference category: highest 3 quartiles

Results:
Any cancer   
• Both genders: lowest quartile: OR 1.4 (95% CI 0.6 to 3.5)

Selenium levels in exposure categories

Lowest quartile: ≤ 114.49 µg/L
Highest 3 quartiles: 114.50 to 114.51 µg/L

Notes

Sakoda 2005

Methods

Matched, nested case‐control study 

Country: China

Participants

Participants: 41,563 men and women
Inclusion criteria: inhabitants of Haiman city of Chinese origin; written consent; toenail clipping available

Recruitment: January 1993 to December 1993
Outcome assessment: 30 September 2000

Number of cases: 
• Primary liver cancer: 166 (male/female: 154/12)

Case definition: mortality

Years of follow‐up: 6.8 to 7.8

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Analysed cases: 166 of 455 observed cases (only cases with questionnaire, blood sample, and toenail specimen analysed after 2000 owing to different methods of selenium analysis)
Statistical methods: not specified
Variables controlled in analysis:
• Both genders: age, gender, HBsAg status, alcohol intake, history of acute hepatitis, occupation
• Men: age, HBs‐Ag status, alcohol intake, history of acute hepatitis, family history of HCC, occupation
• Women: HBs‐Ag status, age, history of acute hepatitis
Variables controlled by matching: age, gender, township of residence

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Primary liver cancer
• Both genders: highest quartile: OR 0.50 (95% CI 0.28 to 0.90)
• Male: highest quartile: OR 0.57 (95% CI 0.31 to 1.05)
• Female: highest 3 quartiles: OR 0.18 (95% CI 0.03 to 1.13)

Selenium levels in exposure categories

Both genders and men
• Lowest quartile: 0 to 1.70 ppm
• Highest quartile: ≥ 4.43 ppm

Women
• Lowest quartile: 0.00 to 1.70 ppm
• Highest 3 quartiles: ≥ 1.71 ppm

Notes

Salonen 1984

Methods

Matched, nested case‐control study

Country: Finland

Participants

Participants: 8113 men and women
Inclusion criteria: 31 to 59 years of age; random sample of inhabitants of 2 Finnish provinces; initially free of cancer
Name of parent cohort: North Karelia Project

Recruitment: February to April 1972
Outcome assessment: 31 December 1978

Number of cases:
• Any cancer: 128 (male/female: n.r.)

Case definition: incidence

Years of follow‐up: 8.5

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: logistical regression/paired‐sample OR
Variables controlled in analysis: tobacco consumption, serum cholesterol, beer consumption, dietary saturated fats, years of education, study area
Variables controlled by matching: age, gender, smoking (tobacco use/d), total serum cholesterol

Risk estimates [95% CI]

Reference category: above 30th percentile

Results:
Any cancer
• Both genders: ≤ 30th percentile: OR 3.1 (95% CI 1.5 to 7.7)
• Both genders: ≤ 0 percentile: OR 3.0 (95% CI 1.2 to 21.9)

Selenium levels in exposure categories

1st to 10th percentile ≤ 34.00 µg/L
Above 30th percentile ≥ 45.00 µg/L

Notes

Salonen 1985

Methods

Matched, nested case‐control study

Country: Finland

Participants

Participants: 12,155 men and women
Inclusion criteria: 30 to 64 years of age; random sample of residents of 2 Finnish provinces; initially free of cancer
Name of parent cohort: North Karelia Project

Recruitment: January to March 1977
Outcome assessment: 31 December 1980

Number of cases:
• Any cancer: 51 (male/female: 30/21)

Case definition: mortality

Years of follow‐up: 3.7

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Analysed cases: 51 out of 56 (reason for non‐inclusion: no serum sample available)
Statistical methods: logistical regression
Variables controlled by matching: age, gender, smoking (tobacco use/d)

Risk estimates [95% CI]

Reference category: highest 2 tertiles

Results:
Any cancer
• Both genders: lowest tertile: OR 5.8 (95% CI 1.2 to 29.0)

Selenium levels in exposure categories

Lowest tertile: ≤ 47.00 µg/L
Highest 2 tertiles ≥ 47.10 µg/L

Notes

SELECT 2009

Methods

Randomised controlled trial

SELECT (Selenium and Vitamin E Cancer Prevention Trial)

Allocation: random, block/stratified by clinic

Sequence generation: computer‐generated random numbers

Concealment: central assignment (pill bottles)

Blinding: participant blinded, doctor blinded, outcome assessor/pathologist blinded, review/coding of medical records blinded

Dropouts/withdrawals: of 35,533 randomised participants, 645 were excluded from analysis because they had prior prostate cancer, did not give informed consent, or participated at 2 study sites that were excluded owing to management and regulatory issues

Intention‐to‐treat‐analysis: yes

Recruitment period: 22 August 2001 to 24 June 2004

End of study period: 1 August 2009

Blinded intervention was discontinued on 23 October 2008 following the recommendation of the Data Safety and Monitoring Committee after the second formal interim analysis in September 2008.

Detection of cases: Participants had clinic visits once every 6 months and reported prostate cancers to the study staff. Study staff obtained medical records to verify the diagnosis. Tissue and the corresponding pathology report were sent to the central pathology laboratory for confirmation.

Informed consent: yes

Participants

Countries: United States, Canada, Puerto Rico

Number of participants: 34,888 men, randomised to 4 groups: placebo (8696), vitamin E (8737), selenium (8752), selenium + vitamin E (8703)

Condition: healthy men, aged 50 years or older (African American) or 55 years or older (all other), no prior diagnosis of prostate cancer, 4 ng/mL or less of PSA in serum, a digital rectal examination not suspicious for cancer, no current use of anticoagulant therapy other than 175 mg/d or less of acetylsalicylic acid, or 81 mg/d or less of acetylsalicylic acid with clopidogrel bisulphate, no history of haemorrhagic stroke, normal blood pressure

Demographics: median age: 62.3 to 62.6 years in all 4 intervention groups, 79% white in all 4 intervention groups

Recruitment and setting: 427 participating sites

Interventions

Group 1: placebo + placebo

Group 2: 400 IU/d all rac‐alpha‐tocopheryl acetate + placebo

Group 3: 200 µg/d L‐selenomethionine + placebo

Group 4: 400 IU/d all rac‐alpha‐tocopheryl acetate + 200 µg/d L‐selenomethionine

Outcomes

Primary outcome: incidence of prostate cancer as determined by routine clinical management

Secondary outcomes: incidence of any cancer/lung cancer/colorectal cancer, diabetes mellitus, cardiovascular events, death from any cause

Risk estimates [95% CI]

Results are presented for the comparison of selenium alone (group 3) vs placebo (group 1)

Primary outcome:

• Prostate cancer: HR 1.04 (95% CI 0.90 to 1.18) (99% CI 0.87 to 1.24), cases: selenium 432 (5‐year rate: 4.56%), placebo 416 (5‐year rate 4.43%)

Secondary outcomes:

• Any cancer: HR 1.01 (95% CI 0.89 to 1.15)

• Lung cancer: HR 1.12 (99% CI 0.73 to 1.72)

• Colorectal cancer: HR 1.05 (99% CI 0.66 to 1.67)

• Other primary cancer (excluding prostate cancer, basal cell and squamous cell skin cancer): HR 0.95 (99% CI 0.77 to 1.17)

• Diabetes mellitus: HR 1.07 (99% CI 0.94 to 1.22)

• Cardiovascular events: HR 1.02 (99% CI 0.92 to 1.13)

• Deaths: HR 0.99 (99% CI 0.82 to 1.19)

• Deaths from cancer: HR 1.02 (99% CI 0.74 to 1.41)

Selenium levels in exposure categories

d.n.a.

Notes

Adverse effects:

• Alopecia: RR 1.28 (99% CI 1.01 to 1.62)

• Dermatitis grade 1 to 2: RR 1.17 (99% CI 1.00 to 1.35)

• Dermatitis grade 3 to 4: RR 1.74 (99% CI 0.56 to 5.44)

• Halitosis: RR 1.17 (99% CI 0.99 to 1.38)

• Nail changes: RR 1.04 (99% CI 0.94 to 1.16)

• Fatigue grade 1 to 2: RR 1.09 (99% CI 0.95 to 1.26)

• Fatigue grade 3 to 4: RR 0.87 (99% CI 0.40 to 1.88)

• Nausea grade 1 to 2: RR 1.19 (99% CI 0.94 to 1.52)

• Nausea grade 3: RR 0.99 (99% CI 0.30 to 3.34)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random, block/stratified by clinic, computer‐generated random numbers

Allocation concealment (selection bias)

Low risk

Central assignment

Blinding (performance bias and detection bias)
All outcomes

Low risk

Participants, doctors, outcomes

Selective reporting (reporting bias)

Low risk

No problems found

Steevens 2010

Methods

Cohort/subcohort controlled cohort study

Country: the Netherlands

Participants

Name of parent cohort: Netherlands Cohort Study (NLCS)

Recruitment: 1986

van den Brandt 1993b
Participants: 120,852 (male/female: 58,279/ 62,573); aged 55 to 69 years; returned baseline questionnaire; no history of cancer at baseline
Outcome assessment: 31 December 2002

Number of cases:
• Oesophageal squamous cell carcinoma (ESCC): 64 (male/female: 40/24)
• Oesophageal adenocarcinoma (EAC): 112 (male/female: 93/19)

• Gastric cardia adenocarcinoma (GCA): 114 (male/female: 97/17)

Case definition: incidence

Years of follow‐up: 16.3

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Analysed cases:

• Oesophageal squamous cell carcinoma (ESCC): 64 of 71
• Oesophageal adenocarcinoma (EAC): 112 of 129

• Gastric cardia adenocarcinoma (GCA): 114 of 127
Statistical methods: Cox proportional hazard model
Variables controlled in analysis: age, sex, cigarette smoking (current yes/no, number of cigarettes smoked daily, and number of smoking years), alcohol consumption (g/d), and BMI (kg/m²)

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Esophageal squamous cell carcinoma (ESCC)
• Both genders: highest quartile: RR 0.37 (95% CI 0.16 to 0.86)
• Men: highest quartile: RR 0.81 (95% CI 0.64 to 1.4)
• Women: highest quartile: RR 0.79 (95% CI 0.63 to 0.99)
Oesophageal adenocarcinoma (EAC)
• Both genders: highest quartile: RR 0.76 (95% CI 0.41 to 1.40)
• Men: highest quartile: RR 1.07 (95% CI 0.99 to 1.15)
• Women: highest quartile: RR 0.72 (95% CI 0.61 to 0.84)
Gastric cardia adenocarcinoma (GCA)
• Both genders: highest quartile: RR 0.52 (95% CI 0.27 to 1.02)
• Men: highest quartile: RR 0.94 (95% CI 0.84 to 1.06)
• Women: highest quartile: RR 0.73 (95% CI 0.56 to 0.95)

Selenium levels in exposure categories

Lowest quartile: ≤ 0.498 µg/g
Highest quartile: ≥ 0.613 µg/g 

Notes

Steinbrecher 2010

Methods

Nested case‐control study

Country: Germany

Participants

Participants: 11,928 men (from the total cohort of 25,540 men and women)

Name of parent cohort: EPIC‐Heidelberg cohort

Recruitment: 1994 to 1998
Outcome assessment: 2/2007

Number of cases:

• Prostate cancer: 248

Case definition: incidence

Years of follow‐up: mean: 3

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: family history of prostate cancer, participation in PSA testing, smoking status, and vigorous physical activity

Variables controlled in matching: age group and time of recruitment

Risk estimates [95% CI]

Reference category: lowest quartile

Results:

Prostate cancer

• Highest quartile: OR 1.10 (95% CI 0.58 to 2.09)

Selenium levels in exposure categories

Lowest quartile: ≤ 78.9 µg/L
Highest quartile: ≥ 95.0 µg/L 

Notes

Suadicani 2012

Methods

Cohort study

Country: Denmark

Participants

Participants: 3333 males; male participants were derived from 14 workplaces in Copenhagen: the Air Force, Army, Navy, Emergency Management Agency, Postal Service, Customs Service, a railroad company, a national bank, a telephone company, 3 municipal service centres (for electricity and engineering and a fire brigade), a pharmaceutical company, and a building contractor company

Name of parent cohort: Copenhagen male study

Recruitment: from 1970 to 1971/1985 to 1986
Outcome assessment: 1985 to 1986/2001

Number of cases:

• Deaths for lung cancer: 167

Case definition: death for lung cancer

Years of follow‐up: 16

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: Cox logistical regression
Variables controlled in analysis: age, pack‐years of smoking, spirits intake, and dietary markers

Risk estimates [95% CI]

Reference category: lowest exposure category: 0.4 to 1.0 µmol/L

Results:
Deaths from lung cancer
• Highest exposure category: HR 1.43 (95% CI 0.96 to 2.14)

Selenium levels in exposure categories

Lowest category: 31.58 to 78.96 µg/L

Highest category: 120.65 to 236.88 µg/L

Notes

Sun 2016

Methods

Cohort study

Country: China

Participants

Name of parent cohorts: Shangai Men's Health Study (SMHS) and Shangai Women's Health Study (SWHS)

Participants: 133,957 (male/female: 61,470/74,941)
• SMHS: 61,480 men
• SWHS: 74,941 women

Inclusion criteria:
• SMHS: men aged 40 to 74, residents in Shangai with no history of cancer
• SWHS: women aged 40 to 70, residents in Shangai with no history of cancer

Recruitment:
• SMHS: April 2002 to June 2006
• SWHS: March 1997 to May 2000

Outcome assessment: 31 December 2012

Number of cases: 2603 (male/female: 1798/805)

Case definition: mortality

Years of follow‐up:
• SMHS: median: 8.37
• SWHS: median: 13.90

Type of selenium marker: intake

Interventions

d.n.a

Outcomes

Analysed cases:
Cancer mortality:
2603 (male/female: 1798/805)

Statistical methods: Cox proportional hazard model

Variables controlled in analysis: age, birth cohort, education, income, marital status, occupation, body mass index, physical activity, total energy intake, dietary fat intake, supplement use, smoking status, drinking status, status with regard to history of hypertension, diabetes, coronary hearth disease, or stroke, family history of cancer and menopausal status (women only)

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Cancer mortality
• SMHS: highest quintile: HR 0.97 (95% CI 0.81 to 1.13)
• SWHS: highest quintile: HR 0.90 (95% CI 0.77 to 1.05)

Selenium levels in exposure categories

SMHS:
• Lowest quintile: < 19.36 µg/1000 kcal/d
• Highest quintile: ≥ 31.92 µg/1000 kcal/d
SWHS:
• Lowest quintile: < 19.05 µg/1000 kcal/d
• Highest quintile: ≥ 33.36 µg/1000 kcal/d

Notes

Thomson 2008

Methods

Cohort study

Country: United States

Participants

Participants: 133,614 women
Inclusion criteria: postmenopausal participants (aged 50 to 79 years) of the WHI clinical trial and observational study

Name of parent cohort: Women's Health Initiative (WHI)

Recruitment: n.r.
Outcome assessment: December 2004

Number of cases:

• Ovarian cancer: 451

Case definition: incidence

Years of follow‐up: mean: 7

Type of selenium marker: supplemental selenium intake

Interventions

d.n.a.

Outcomes

Statistical methods: Cox logistical regression
Variables controlled in analysis: participation in observational or intervention study, age, log calories, number of relatives with breast/ovarian cancer, dietary modification randomisation arm, hysterectomy, minority race, pack‐years of smoking, physical activity, NSAID use, parity, infertility, duration of oral contraceptive use, number of lifetime ovulatory cycles, partial oophorectomy, age at menopause, hormone therapy at study entry

Risk estimates [95% CI]

Reference category: no intake of supplemental selenium (lowest exposure category)

Results:
Ovarian cancer
• Highest exposure category: HR 1.00 (95% CI 0.73 to 1.37)

Selenium levels in exposure categories

Lowest exposure category: no supplemental selenium intake

Highest exposure category: > 20 µg/d supplemental selenium intake

Notes

van den Brandt 1993

Methods

Cohort/subcohort controlled cohort study

Country: the Netherlands

Participants

Name of parent cohort: Netherlands Cohort Study (NLCS)

Recruitment: 1986

Case definition: incidence

van den Brandt 1993b
Participants: 120,852: 58,279 men and 62,573 women; aged 55 to 69 years; returned baseline questionnaire; no history of cancer at baseline
Outcome assessment: n.r.

Number of cases:
• Stomach cancer: 104 (male/female: 84/20)
• Colon cancer: 234 (male/female: 121/113)
• Rectal cancer: 113 (male/female: 77/36)

van den Brandt 1993a
Participants: 120,852: 58,279 men and 62,573 women; age 55 to 69 years; returned baseline questionnaire; no history of cancer at baseline
Outcome assessment: n.r.

Number of cases:
• Lung cancer: 370 (male/female: 335/35)

van den Brandt 1994
Participants: 62,573 postmenopausal women
Outcome assessment: 1989

Number of cases:
• Breast cancer (postmenopausal): 355 (male/female: 0/355)
• Breast cancer (postmenopausal), multi‐variate analysis: 270 (male/female: 0/270)

Zeegers 2002
Participants: 120,852: 58,279 men and 62,573 women
Outcome assessment: December 1992

Number of cases:
• Bladder cancer: 431 (male/female: 372/59)

van den Brandt 2003
Participants: 58,279 men
Outcome assessment: n.r. (probably December 1992)

Number of cases:
• Prostate cancer: 540 (male/female: 540/0)

Years of follow‐up:
• 3.3 (Brandt 1993a; Brandt 1993b; Brandt 1994)
• 6.3 (Zeegers 2002; Brandt 2003)

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

van den Brandt 1993b
Analysed cases: 234 of 351 colon cancer cases/104 of 176 stomach cancer cases/113 of 185 rectal cancer cases analysed (reasons for non‐inclusion: history of cancer at baseline not available, no pathological confirmation or CIS, no toenail clipping available)
Statistical methods: Mantel‐Haenszel
Variables controlled in analysis: age, gender

van den Brandt 1993a
Analysed cases: 370 of 617 (reasons for non‐inclusion: history of cancer at baseline not available, no toenail clipping, no pathological confirmation, problems with selenium measurement)
Statistical methods: Mantel‐Haenszel
Variables controlled in analysis: age, gender

van den Brandt 1994
Analysed cases: 355 of 553 (reasons for non‐inclusion: history of cancer at baseline not available, CIS, no toenail sample or problems with selenium detection)
Statistical methods: multi‐variate case‐cohort analysis
Variables controlled in analysis: age, history of benign breast disease, maternal breast cancer, breast cancer in sister(s), age at menarche, age at menopause, oral contraceptive use, parity, age at first birth, body mass index, education, current cigarette smoking, alcohol intake, energy intake

Zeegers 2002
Analysed cases: 431 of 619 (reason for non‐inclusion: no toenails available)
Statistical methods: exponentially distributed failure time regression models
Variables controlled in analysis: age, gender, number of cigarettes/d, years of cigarette smoking

van den Brandt 2003
Analysed cases: 540 of 704 (reason for non‐inclusion: no toenail samples or selenium detection not possible)
Statistical methods: exponentially distributed failure time regression models
Variables controlled in analysis: age, family history of prostate cancer, number of cigarettes/d, years of cigarette smoking, level of education

Risk estimates [95% CI]

Reference category: lowest quartile/quintile

Results:

van den Brandt 1993b
Stomach cancer
• Both genders: highest quintile: RR 0.61 (95% CI 0.33 to 1.11); highest quintile: RR 0.64 (95% CI 0.33 to 1.27) (max. adj.)
• Men: highest quintile: RR 0.40 (95% CI 0.17 to 0.96) (max. adj.)
• Women: highest quartile: RR 1.68 (95% CI 0.43 to 6.54) (max. adj.)
Colon cancer  
• Both genders: highest quintile: RR 0.77 (95% CI 0.49 to 1.19); highest quintile: RR 0.80 (95% CI 0.50 to 1.29) (max. adj.)
• Men: highest quintile: RR 0.82 (95% CI 0.43 to 1.58) (max. adj.)
• Women: highest quintile: RR 0.77 (95% CI 0.41 to 1.45) (max. adj.)
Rectal cancer 
• Both genders: highest quintile: RR 1.01 (95% CI 0.55 to 1.84); highest quintile: RR 1.05 (95% CI 0.54 to 2.03) (max. adj.)
• Men: highest quintile: RR 0.91 (95% CI 0.41 to 2.00) (max. adj.)
• Women: highest quartile: RR 1.58 (95% CI 0.59 to 4.22) (max. adj.)

van den Brandt 1993a
Lung cancer 
• Both genders: highest quintile: RR 0.40 (95% CI 0.27 to 0.59)
• Men: highest quintile: RR 0.50 (95% CI 0.30 to 0.82)
• Women: highest quartile: RR 0.40 (95% CI 0.13 to 1.24)

van den Brandt 1994
Breast cancer         
• Multi‐variate analysis: highest quintile: RR 0.84 (95% CI 0.55 to 1.27)
• Age‐stratified analysis: highest quintile: RR 0.93 (95% CI 0.65 to 1.33)

Zeegers 2002
Bladder cancer  
• Both genders: highest quintile: RR 0.67 (95% CI 0.46 to 0.97)

van den Brandt 2003
Prostate cancer    
• Highest quintile: RR 0.69 (95% CI 0.48 to 0.99)

Selenium levels in exposure categories

van den Brandt 1993b
• Lowest quintile: ≤ 0.483 µg/g
• Highest quintile: ≥ 0.631 µg/g 
• Lowest quartile: ≤ 0.497 µg/g
• Highest quartile: ≥ 0.613 µg/g 

van den Brandt 1993a
Both genders and men
• Lowest quintile: ≤ 0.483 µg/g
• Highest quintile: ≥ 0.631 µg/g

Women
• Lowest quartile ≤ 0.497 µg/g
• Highest quartile ≥ 0.613 µg/g

van den Brandt 1994
Women
• Lowest quintile: ≤ 0.499 µg/g
• Highest quintile: ≥ 0.646 µg/g

Zeegers 2002
• Lowest quintile: ≤ 0.483 µg/g
• Highest quintile: ≥ 0.631 µg/g

van den Brandt 2003
Men
• Lowest quintile: ≤ 0.467 µg/g
• Highest quintile: ≥ 0.617 µg/g

Notes

Primary publication:van den Brandt 1993b
Other publications: Zeegers 2002, van den Brandt 1993a, van den Brandt 1994, van den Brandt 2003

van Noord 1987

Methods

Matched, nested case‐control study

Country: the Netherlands

Participants

Participants: 8760 women
Inclusion criteria: 42 to 52 years of age; premenopausal; inhabitants of Utrecht
Name of parent cohort: DOM (Diagnostic onderzoek mammacarcinoom) Study

Recruitment: n.r.
Outcome assessment: 1 February 1986

Number of cases:
• Breast cancer (premenopausal): 27 (male/female: 0/27)

Case definition: incidence

Years of follow‐up: 0.6 to 3.5, mean: 2.1

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Analysed cases: 7 detected during initial mammography screening in this study and not included in the analysis of incident cases

Statistical methods: n.r.
Variables controlled by matching: age, date of birth, premenopausal status

Risk estimates [95% CI]

Reference category: lowest quartile

Results:
Breast cancer (premenopausal)
• Highest quartile: OR 1.1 (95% CI 0.5 to 2.9)

Selenium levels in exposure categories

n.r.

Notes

Virtamo 1987

Methods

Cohort/subcohort controlled cohort study

Country: Finland

Participants

Participants: 1110 men
Inclusion criteria: 55 to 74 years of age; inhabitants of Finnish rural areas; participants of prior study on CHD; serum sample available: cases within first year of follow‐up excluded
Name of parent cohort: Men in rural East and West Finland

Recruitment: 1974
Outcome assessment: 31 December 1983

Number of cases:
• Any cancer: 109 (male/female: 109/0)

Case definition: incidence

Years of follow‐up: 10

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: conditional logistical regression
Variables controlled in analysis: age, area of residence, smoking, serum cholesterol, alcohol intake

Risk estimates [95% CI]

Reference category: highest tertile

Results:
Any cancer
• Lowest tertile OR 1.14 (95% CI 0.66 to 1.98)

Selenium levels in exposure categories

Lowest tertile: 15 to 46 µg/L
Highest tertile: 60 to 136 µg/L

Notes

Walter 2011

Methods

Cohort study

Country: United States

Participants

Inclusion criteria: aged 50 to 76 years, recruited from subscribers to commercial mailing list, residents of western Washington state, non‐whites excluded, no malignant disease at baseline

Name of parent cohort: Vitamins and Lifestyle (VITAL) study

Number of participants: 66,227 men and women (male/female: n.r.)

Recruitment: 1 October 2000 to 31 December 2002

Outcome assessment: 31/12/2008

Number of cases:
• Haematological malignancies: 588

Case definition: incidence

Years of follow‐up: mean: 6.5 years

Type of selenium marker: supplemental intake (questionnaire: use of supplements over past 10 years, mean supplemental intake/d calculated)

Interventions

d.n.a.

Outcomes

Statistical methods: Cox proportional hazard regression
Variables controlled in analysis: sex, race/ethnicity (white, Hispanic, other), education (high school graduate or less, some college, college or advanced degree), smoking (pack‐years), self‐rated health (excellent, very good, good, fair, poor), vegetable servings per day (excluding potato servings); fruit servings per day; history of coronary artery disease (defined as history of heart attack, coronary bypass surgery, angioplasty, and/or angina; yes, no), history of rheumatoid arthritis (yes, no), history of fatigue or lack of energy over the year before baseline (yes, no), and number of first‐degree relatives with a history of leukaemia or lymphoma (none, 1, 2)

Risk estimates [95% CI]

Reference category: none

Results:
Highest level: RR 0.95 (95% CI 0.75 to 1.20)

Selenium levels in exposure categories

Lowest level: none

Highest level: 20.1 to 400.0 µg/d

Notes

Wei 2004

Methods

Frequency‐matched cohort‐controlled study

Country: China

Participants

Participants:Mark 2000: 29,584 men and women; Wei 2004: 1103 people who were originally selected as disease‐free controls in Mark 2000
Inclusion criteria: 40 to 69 years of age; healthy inhabitants of 4 Linxian communities; participants of a randomised controlled trial
Name of parent cohort: General Population Trial Linxian

Recruitment: 1985
Outcome assessment: May 1991 (Mark 2000); n.r. (Wei 2004)

Number of cases:
Wei 2004
• Oesophageal cancer: 75 (male/female: 49/26) mortality
• Stomach, cardia cancer: 36 (male/female: 22/14) mortality
• Stomach, non‐cardia cancer: 24 (male/female: 20/4) mortality
• Other: 32 (male/female: 22/10) mortality

Mark 2000
• Oesophageal cancer: 590 (male/female: 286/304) incidence
• Oesophageal cancer: 332 (male/female: n.r.) mortality
• Stomach, cardia cancer: 402 (male/female: 239/163) incidence
• Stomach, cardia cancer: 232 (male/female: n.r.) mortality
• Stomach, non‐cardia cancer: 87 (male/female: 66/21) incidence
• Stomach, non‐cardia cancer: 68 (male/female: n.r.) mortality 

Case definition: mortality, incidence

Years of follow‐up: unclear/approximately 9 (Wei 2004), 6 (Mark 2000)

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: Cox‐proportional hazard model

Variables controlled in analysis:Wei 2004: age, cholesterol, smoking, alcohol intake, BMI; Mark 2000: age
Variables controlled by matching: age category, gender

Risk estimates [95% CI]

Wei 2004
Reference category: lowest quartile

Results:
Oesophageal cancer
• Both genders: highest quartile: RR 0.35 (95% CI 0.16 to 0.81)
Stomach, cardia cancer
• Both genders: highest quartile: RR 0.31 (95% CI 0.11 to 0.87)
Stomach, non‐cardia cancer
• Both genders: highest quartile: RR 1.64 (95% CI 0.49 to 5.48)
Other cancers
• Both genders: highest quartile: RR 1.95 (95% CI 0.66 to 5.81)

Mark 2000
Reference category: lowest quartile

Results:
Oesophageal cancer
• Both genders/incidence: highest quartile: RR 0.56 (95% CI 0.44 to 0.71)
• Both genders/mortality: highest quartile: RR 0.62 (95% CI 0.44 to 0.89)
Stomach, cardia cancer
• Both genders/incidence: highest quartile: RR 0.47 (95% CI 0.33 to 0.65)
• Both genders/mortality: highest quartile: RR 0.59 (95% CI 0.39 to 0.90)
Stomach, non‐cardia cancer
• Both genders/incidence: highest quartile: OR 1.07 (95% CI 0.55 to 2.08)
• Both genders/mortality: highest quartile: OR 1.03 (95% CI 0.85 to 2.02)

Selenium levels in exposure categories

Wei 2004
• Lowest quartile: 0.0 to 60.0 µg/L
• Highest quartile ≥ 84.5 µg/L

Mark 2000
• Lowest quartile: 0.00 to 59.70 µg/L
• Highest quartile ≥ 82.20 µg/L

Notes

Primary publication: Wei 2004
Other publication: Mark 2000

Remark:
Wei 2004 measured serum selenium in a subcohort derived from 29,584 male and female participants of the Linxian Population Trial. The earlier publication of this study, Mark 2000, reported 332 fatal cases and 590 incident cases. The later publication, Wei 2004, reported deaths from oesophageal cancer among disease‐free controls in Mark 2000 and analysed 75 fatal cases.

Willett 1983

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 10,940 men and women
Inclusion criteria: 30 to 69 years of age; serum sample available (only 4480 samples of cohort were available because of freezer breakdown); participants of an RCT on hypertension; institutionalised and bedfast people excluded
Name of parent cohort: Hypertension Detection Follow‐Up Programme (HDFP)

Recruitment: 1973 to 1974
Outcome assessment: n.r.

Number of cases:
• Any cancer: 111 (male/female: 60/51) 

Case definition: incidence

Years of follow‐up: 5

Type of selenium marker: serum

Interventions

d.n.a.

Outcomes

Statistical methods: logistical regression of unmatched data
Variables controlled by matching: age, gender, race/ethnicity, smoking status, year/month of sample collection, initial blood pressure, use of antihypertensive medication, randomisation group
• In women: parity, menopausal status

Risk estimates [95% CI]

Reference category: highest quintile, highest 3 quintiles

Results:
Any cancer
• Both genders: lowest quintile vs highest quintile: OR 2.0 (CI not reported)
• Both genders: lowest quintile vs highest 3 quintiles: OR 1.9 (95% CI 1.1 to 3.3)

Selenium levels in exposure categories

Lowest quintile: ≤ 114 µg/L
Highest quintile: ≥ 154 µg/L 

Notes

Yoshizawa 1998

Methods

Matched, nested case‐control study

Country: United States

Participants

Participants: 33,737 men
Inclusion criteria: 40 to 75 years of age; physicians from all 50 US states; provision of toenails in 1987 and completed baseline questionnaire in 1986; exclusion of histologically confirmed prostate cancer at baseline, and cases within first 2 years of follow‐up
Name of parent cohort: Health Professionals Follow‐Up Study (HPFS)

Recruitment: 1986 to 1987
Outcome assessment: 1994

Number of cases:
• Prostate cancer: 181 (male/female: 181/0)

Case definition: incidence

Years of follow‐up: 8 to 9

Type of selenium marker: toenail

Interventions

d.n.a.

Outcomes

Statistical methods: logistical regression, conditional logistical regression
Variables controlled in analysis: quintiles of lycopene, saturated fat, calcium, family history of prostate cancer, BMI, vasectomy

Variables controlled by matching: age, smoking status, year/month of sample collection

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Prostate cancer (advanced)
• Highest quintile: OR 0.39 (95% CI 0.18 to 0.84)

Selenium levels in exposure categories

Lowest quintile: 0.530 to 0.730 µg/g
Highest quintile: 0.941 to 7.090 µg/g 

Notes

Yu 1991

Methods

Randomised controlled trial

Allocation: random

Sequence generation: unclear, not described

Concealment: unclear, not described

Blinding: described as double‐blind; blinding of participants: adequate, placebo tablets; blinding of investigators and doctors: unclear

Dropouts/withdrawals: unclear, not described

Intention‐to‐treat‐analysis: unclear, not described

Recruitment period: unclear, not described

Observation period: 2 years

Study period: 2 years

Detection of cases: unclear, use of "national standards" for the diagnosis of liver cancer

Informed consent: unclear, not described

Participants

Country: China

Number of participants: 2474

Condition: first‐degree relatives within 3 generations of families with 2 or more cases of liver cancer during the period 1972 to 1985

Demographics: gender distribution not reported; age: 15 to 75 years

Recruitment and setting: Participants were residents in Qidong province.

Interventions

Intervention: 200 µg selenium as selenised yeast p.o. daily, intervention period unclear

Control: placebo

Outcomes

Primary outcome measure: incidence of primary liver cancer within 2 years after start of intervention

Results:

• 13 cases in 1030 placebo participants

• 10 cases in 1444 selenium participants

Risk estimates [95% CI]

n.r.

Selenium levels in exposure categories

d.n.a.

Notes

Data were extracted from Yu 1991.

We identified 2 later publications (Li 1992, Yu 1993), which we assumed to report on the same trial as Yu 1991. However, the total number of participants differed from the initial report (N = 3849 in the later publications, with 1485 receiving placebo and 2364 receiving selenium). The total number of cases was not reported in either Li 1992 or Yu 1993.

Reported results were as follows:

Li 1992

Person‐year incidence rate in intervention and control groups:

• Within 1 year of follow‐up: selenium group 175.36/100,000; placebo group: 414.65/100,000

• Within 2 years of follow‐up: selenium group 219.37/100,000; placebo group: 553.15/100,000

Yu 1993

Cumulated incidence

• After 1 year: selenium group 1.75/1000; placebo group: 4.15/1000

• After 2 years: selenium group 2.19/1000; placebo group: 5.53/1000

• We could not make contact with study investigators to clarify these discrepancies. As we could not clarify the actual number of liver cancer cases in the later publications, we decided to use the data of Yu 1991 for this review.

• Adverse effects were not mentioned in Yu 1991 or Li 1992. Yu 1993 stated that no cases of selenosis were observed in the trial.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Sequence generation not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Participants blinded, doctors stated only as double‐blind

Selective reporting (reporting bias)

Unclear risk

Recruitment period unclear; dropout unclear

Yu 1997

Methods

Randomised controlled trial

Allocation: random

Sequence generation: unclear, not described

Concealment: unclear, not described

Blinding: of participants: adequate (placebo); of investigators and doctors: unclear, not described

Dropouts/withdrawals: unclear, not described

Recruitment period: unclear, not described

Intention‐to‐treat‐analysis: unclear, not described

Observation period: 1987 to 1994

Intervention period: 1987 to 1990

Detection of cases: unclear, monthly blood sample during follow‐up for liver enzymes (SGPT, ZnTT), use of "national standards" for the diagnosis of liver cancer

Informed consent: unclear, not described

Participants

Country: China

Number of participants: 226 (selenium group: 113; placebo group 113)

Condition: HBs‐antigen carriers with normal liver function

Demographics: 95 men, 131 women; age: 21 to 63 years

Recruitment and setting: recruitment “through screening in a village in the city Qidong” (Li 1992)

Interventions

Intervention: 200 µg selenium as selenised yeast p.o. daily for 4 years

Control: placebo

Outcomes

Primary outcome measure: incidence of primary liver cancer (defined as increase in SGPT and ZnTT)

Results:

At end of intervention period

• 0 cases in the selenium group

• 7 cases in the placebo group for a total of 445 person‐years of observation (person‐time incidence rate: 1573.03/100,000)

Risk estimates [95% CI]

n.r.

Selenium levels in exposure categories

d.n.a.

Notes

Adverse effects: "No side effects have been found in these trials" (Yu 1997, p. 124)

Further data reported in: Li 1992 (Chinese, translated); Yu 1991

In Yu 1991, a different incidence was reported for the selenium group (5 cases). We could not clarify this discrepancy with later papers Li 1992 and Yu 1997.

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Sequence generation not described

Allocation concealment (selection bias)

Unclear risk

Not described

Blinding (performance bias and detection bias)
All outcomes

Low risk

Participants blinded, doctors stated only as double‐blind

Selective reporting (reporting bias)

Unclear risk

Recruitment period unclear; dropout unclear

Yu 1999

Methods

Matched, nested case‐control study

Country: China (Taiwan)

Participants

Participants: 4841 men
Inclusion criteria: 30 to 65 years of age; HBs‐Ag‐positive or/and HCV‐positive; recruited at 2 centres: Government Employee Central Clinics and Liver Unit of Chang‐Gung Memorial Hospital

Recruitment: August 1988 to June 1992
Outcome assessment: 31 December 1996

Number of cases:
• Primary liver cancer: 69 (male/female: 69/0)

Case definition: incidence

Years of follow‐up: 4.5 to 8.3

Type of selenium marker: plasma

Interventions

d.n.a.

Outcomes

Analysed cases: 69 of 73 (reason for non‐inclusion: no sample available)
Statistical methods: conditional logistical regression
Variables controlled in analysis: age, cigarette smoking, alcohol intake, plasma levels of retinol/alpha‐tocopherol/alpha‐carotene/beta‐carotene/lycopene
Variables controlled by matching: age, year and season of sample collection, recruitment clinic

Risk estimates [95% CI]

Reference category: lowest quintile

Results:
Primary liver cancer
• Highest quintile: OR 0.62 (95% CI 0.21 to 1.86)

Selenium levels in exposure categories

Lowest quintile ≤ 124.90 µg/L
Highest quintile ≥ 162.40 µg/L

Notes

µ: micro.
AFP: alpha‐fetoprotein.
ALT: alanine aminotransferase.
ATBC: alpha‐tocopherol, beta‐carotene cancer prevention study.
AU: arbitrary unit.
AUA: American Urological Association.
BCC: basal cell carcinoma.   
BMI: body mass index.
BPH: benign prostate hyperplasia.
CARET: Carotene and Retinol Efficacy Trial.
CHD: coronary heart disease.
CI: confidence interval.
CIS: carcinoma in situ.
CSDLH: Canadian Study of Diet, Lifestyle and Health.
CT: computed tomography.
CVD: cardiovascular disease.
dL: deciliter.
d.n.a.: does not apply.
DOM: Diagnostic onderzoek mammacarcinoom.
DSMC: Data and Safety Monitoring Committee.
ECOG: Eastern Cooperative Oncology Group.EPIC: European Prospective Investigation of Cancer.EVA:               Etude du Vieillissement Antériel.
EPOZ: Epidemiologisch onderzoek naar risico‐indicatoren voor hart‐ en vaatziekten.
FFQ: food‐frequency questionnaire.
g: gram.
GBTC: gallbladder and biliary tract cancer.
HBs‐Ag: hepatitis B surface antigen.
HCC: hepatocellular carcinoma.
HCV: hepatitis C virus.
HGPIN: high‐grade prostatic intraepithelial neoplasia.
HPFP: Hypertension Detection Follow‐up Programme.
HPFS: Health Professionals Follow‐up Study.
HR: hazard ratio.
HRT: hormone replacement therapy.
IHBC: intrahepatic bile duct cancer.
IRR: incident rate ratio.
IU: international unit.
L: litre.
m: milli.
max. adj.: maximally adjusted.
MHC: Mobile Health Clinic.
n: nano.
NHS: Nurses‘ Health Study.
NLCS: Netherlands Cohort Study.
NMSC: non‐melanoma skin cancer.
NPCT: Nutritional Prevention of Cancer Trial.
n.r.: not reported.
NSAID: non‐steroidal anti‐inflammatory drug.
OR: odds ratio.
p.: page.
p.o.: per os.
ppm: parts per million.
PSA: prostate‐specific antigen.
RCT: randomised controlled trial.
RR: risk ratio.
SCC: squamous cell carcinoma.
SD: standard deviation.
SGPT: alanine aminotransferase.
TIA: transient ischaemic attack.
UK: United Kingdom.
USA: United States of America.
VITAL: Vitamins and Lifestyle study.
WHI: Women's Health Initiative.
ZnTT: zinc turbidity test.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Albanes 2014

Same results of SELECT 2009, stratified according to tocopherol status

Bates 2011

Results not reported according to inclusion criteria: HR estimated per SD increase of selenium level reported

Bostick 1993

Cohort study: Iowa Women's Health Study cohort

Selenium exposure not assessed according to eligibility: only intake of selenium supplements yes/no in questionnaire assessed

Brock 1991

Case‐control study with precancerous condition (carcinoma in situ of the cervix)

Chen 1988

Case‐control study

Chen 2003

Case‐control study

Connelly‐Frost 2009

Case‐control study

Costello 2001

APPOSE (Australian Prostate Cancer Prevention Trial Using Selenium): Publication describes study design; trial was not started.

Criqui 1991

Population‐based, prospective case‐control study: Lipid Research Clinic Prevalence and Follow‐Up study

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Cui 2007

Nested case‐control study

Selenium exposure not assessed according to eligibility: selenium measurement conducted in tissue of benign breast disease

Davies 2002

Nested case‐control study: EPIC Norfolk study cohort

Results not reported according to inclusion criteria: RR estimate per unit increase in selenium level reported

Epplein 2014

Results not reported according to inclusion criteria: selenium not reported as independent variable ‐ only selenoprotein P

Fleshner 2003

Randomised Study of Vitamin E, Selenium, and Soy Protein Isolate in Patients with High‐Grade Prostatic Intraepithelial Neoplasia:

Multi‐component Intervention

Geybels 2013

Same population as van den Brandt 1993, restricted only to advanced prostate cancer cases

Geybels 2014

Same population as Geybels 2013, stratified according to genetic variation in SePP1 and GPX1

Hagmar 1992

Historical cohort study

Harris 2012

Cancer was not a study endpoint.

Hartman 2002

Nested case‐control study: ATBC cohort

Results not reported according to inclusion criteria: differences in mean selenium levels reported; OR reported as graph and could not be calculated from reported data

Huzarski 2006

Interventional study without control group with 1489 female participants with BRCA1 mutation who received a selenium‐containing nutritional supplement

Joniau 2007

Intervention study without control group with male participants with high‐grade intraepithelial neoplasia of the prostate who received a selenium‐containing nutritional supplement

Karunasinghe 2012

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Kellen 2008

Case‐control study

Kilander 2001

Cohort study in Uppsala/Sweden

Results not reported according to inclusion criteria: RR estimate per unit increase in selenium level reported

Knekt 1988a

Nested case‐control study: Mobile Health Clinic cohort

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Knekt 1988b

Nested case‐control study: Mobile Health Clinic cohort

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Knekt 1991

Nested case‐control study: Mobile Health Clinic cohort

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Kok 1987b

Nested case‐control study: Zoetermeer cohort

Results not reported according to inclusion criteria: differences in mean selenium levels reported

Kune 2006

Case‐control study

Kuroda 1988

Case‐control study

Lane 2017

Some study participants had cancer at baseline.

Lawson 2007

Cohort study on multi‐vitamin use and risk of prostate cancer

Le Marchand 2006

Case‐control study

Li 2004b

RCT for gastric cancer prevention with multi‐component intervention (200 mg synthetic allitridum and 100 µg selenium per day)

Limburg 2005

Randomised controlled trial: Primary endpoint in this 2‐by‐2 factorial design trial with selenomethionine 200 µg daily and/or celecoxib 200 mg twice daily was the per‐participant change (regression, stable, progression) in pre‐existing oesophageal dysplasia ‐ cancer incidence and mortality were not endpoints in this study.

Linxian Pilot 2000

Randomised controlled trial of selenium supplements and celecoxib in participants with oesophageal squamous dysplasia in Linxian, China

Endpoint was "regression of disease"; cancer was not an endpoint in this investigation.

Loeb 2015

Selenium exposure not assessed according to eligibility: only intake of selenium supplements yes/no on questionnaire assessed

Martinez 2014

Same participants as SELECT 2009, stratified according to NKX3.1 genetic variant

Neuhouser 2009

Cohort study (Women's Health Initiative) on multi‐vitamin use and risks of cancer and cardiovascular disease

No data reported for selenium and cancer risk

Persson 2000

Selenium exposure not assessed according to eligibility

Ray 2006

Cohort study (Women's Health and Aging Studies I and II) on selenium and carotenoid serum levels and mortality

No data reported for selenium and cancer mortality

Rayman 2001

PRECISE trial (Prevention of Cancer by Intervention with Selenium): Trial has been stopped.

Rendon

Randomised controlled trial: Vitamin E, Selenium, and Soy Protein in Preventing Cancer in Patients With High‐Grade Prostate Neoplasia: Multi‐component Intervention

Steevens 2010b

Cancer was not a study endpoint.

Thompson 2009

Cohort study: Iowa Women's Health Study cohort

Selenium exposure was not assessed according to eligibility; only intake of selenium supplements yes/no on questionnaire was assessed.

Tsugane 1996

Case‐control and cross‐sectional studies

Ujiie 2002

Part of this study is a prospective cohort study in Miyagi/Japan.

Results were not reported according to inclusion criteria; differences in mean selenium levels were reported.

van Noord 1992

Nested case‐control study: DOM cohort

Results were not reported according to inclusion criteria; differences in mean selenium levels were reported.

van Noord 1993

Nested case‐control study: DOM II cohort

Results were not reported according to inclusion criteria; RR estimate per unit increase in selenium levels were reported.

van't Veer 1996

Case‐control study

Wallace 2009

Case‐control study

Watters 2009

Cohort study on smoking and prostate cancer risk. Selenium was not reported as an independent variable.

Wright 2004

Cohort study: ATBC cohort

Exposure to antioxidants was assessed via a self‐developed index.

You 2005

Randomised controlled trial to test retardation of progression of precancerous gastric lesions among 3400 adults in Shandong, China. Intervention: vitamin C, vitamin E, selenium, garlic preparation

Multi‐component intervention

Yuan 2006

Nested case‐control study: Shanghai cohort study

No data reported on selenium and cancer risk

Zeegers 2009

Cohort study on factors influencing recurrence or progression of bladder cancer: West Midlands Bladder Cancer Prognosis Programme

µ: micro.
APPOSE: Australian Prostate Cancer Prevention Trial Using Selenium.
ATBC: alpha‐tocopherol, beta‐carotene cancer prevention study.
BRCA: breast cancer.
DOM: Diagnostic Onderzoek Mammacarcinoom.
EPIC: European Prospective Investigation of Cancer.
m: milli.
g: gram.
OR: odds ratio.
PRECISE: Prevention of Cancer by Intervention with Selenium.
RCT: randomised controlled trial.
SELECT: Selenium and Vitamin E Cancer Prevention Trial.

Characteristics of ongoing studies [ordered by study ID]

Argos 2013

Trial name or title

Bangladesh Vitamin E and Selenium Trial (BEST)

Methods

Double‐blind, placebo‐controlled, 2‐by‐2 factorial, randomised controlled trial

Participants

7000 adults having manifest arsenical skin lesions in Bangladesh

Inclusion
• Manifest arsenical skin lesions
• Aged 25 to 65 years
• Signed informed consent
Exclusion
• Currently pregnant
• Not a permanent resident of study area
• Unwillingness to discontinue current vitamin use
• History of cancer
• Too ill to participate
• Unwillingness to provide biological samples (blood and urine)

Interventions

6‐year supplementation, divided into 4 study arms:

• Vitamin E (alpha‐tocopherol, 100 mg daily)

• Selenium (L‐selenomethionine, 200 μg daily)

• Vitamin E and selenium

• Placebo

Outcomes

Primary endpoints

• Prevention of non‐melanoma skin cancer

Secondary endpoints:

• All‐cause and cancer mortality

• Diabetes mellitus

• Oxidative stress biomarkers

Starting date

April 2006

Contact information

Dr. Habibul Ahsan

Center for Cancer Epidemiology and Prevention, The University of Chicago

5841 South Maryland Avenue, MC 2007

Chicago, IL 60637

Notes

BEST: Bangladesh Vitamin E and Selenium Trial.

Data and analyses

Open in table viewer
Comparison 1. Randomised controlled trials: highest versus lowest selenium exposure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Any cancer risk Show forest plot

5

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.1

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 1 Any cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 1 Any cancer risk.

1.1 Studies with low RoB

3

19475

Risk Ratio (IV, Random, 95% CI)

1.01 [0.93, 1.10]

1.2 All studies

5

21860

Risk Ratio (IV, Random, 95% CI)

0.99 [0.86, 1.14]

2 Cancer mortality Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.2

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 2 Cancer mortality.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 2 Cancer mortality.

2.1 Studies with low RoB

1

17448

Risk Ratio (IV, Random, 95% CI)

1.02 [0.80, 1.30]

2.2 All studies

2

18698

Risk Ratio (IV, Random, 95% CI)

0.81 [0.49, 1.32]

3 Head and neck cancer risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.3

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 3 Head and neck cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 3 Head and neck cancer risk.

3.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.00 [0.18, 5.45]

3.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

1.22 [0.52, 2.85]

4 Oesophageal cancer risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.4

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 4 Oesophageal cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 4 Oesophageal cancer risk.

4.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.50 [0.06, 36.86]

4.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

0.53 [0.12, 2.28]

5 Colorectal cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.5

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 5 Colorectal cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 5 Colorectal cancer risk.

5.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

0.99 [0.69, 1.43]

5.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

0.74 [0.41, 1.33]

6 Liver cancer risk Show forest plot

4

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.6

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 6 Liver cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 6 Liver cancer risk.

6.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

6.52 [0.37, 115.49]

6.2 All studies

4

6326

Risk Ratio (IV, Random, 95% CI)

0.52 [0.35, 0.79]

7 Melanoma risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.7

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 7 Melanoma risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 7 Melanoma risk.

7.1 Studies with low RoB

2

2027

Risk Ratio (IV, Random, 95% CI)

1.35 [0.41, 4.52]

7.2 All studies

3

3277

Risk Ratio (IV, Random, 95% CI)

1.28 [0.63, 2.59]

8 Non‐melanoma skin cancer risk Show forest plot

4

Risk Ratio (Random, 95% CI)

Subtotals only

Analysis 1.8

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 8 Non‐melanoma skin cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 8 Non‐melanoma skin cancer risk.

8.1 Studies with low RoB

2

2027

Risk Ratio (Random, 95% CI)

1.16 [0.30, 4.42]

8.2 All studies

4

3461

Risk Ratio (Random, 95% CI)

1.23 [0.73, 2.08]

9 Lung cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.9

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 9 Lung cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 9 Lung cancer risk.

9.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

1.16 [0.89, 1.50]

9.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

1.03 [0.78, 1.37]

10 Breast cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.10

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 10 Breast cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 10 Breast cancer risk.

10.1 Studies with low RoB

1

802

Risk Ratio (IV, Random, 95% CI)

2.04 [0.44, 9.55]

10.2 All studies

3

2260

Risk Ratio (IV, Random, 95% CI)

1.44 [0.96, 2.17]

11 Bladder cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.11

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 11 Bladder cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 11 Bladder cancer risk.

11.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

1.07 [0.76, 1.52]

11.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

1.10 [0.79, 1.52]

12 Prostate cancer risk Show forest plot

5

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.12

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 12 Prostate cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 12 Prostate cancer risk.

12.1 Studies with low RoB

4

18942

Risk Ratio (IV, Random, 95% CI)

1.01 [0.90, 1.14]

12.2 All studies

5

19869

Risk Ratio (IV, Random, 95% CI)

0.91 [0.75, 1.12]

13 Leukaemia and lymphoma risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

Analysis 1.13

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 13 Leukaemia and lymphoma risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 13 Leukaemia and lymphoma risk.

13.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.00 [0.25, 3.99]

13.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

1.21 [0.52, 2.80]

Open in table viewer
Comparison 2. Observational studies: highest versus lowest selenium exposure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Total cancer incidence and mortality Show forest plot

14

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.1

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 1 Total cancer incidence and mortality.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 1 Total cancer incidence and mortality.

1.1 Incidence

7

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

1.2 Mortality

7

Odds Ratio (Random, 95% CI)

0.76 [0.59, 0.97]

2 Total cancer incidence and mortality (men) Show forest plot

8

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.2

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 2 Total cancer incidence and mortality (men).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 2 Total cancer incidence and mortality (men).

2.1 Incidence

4

Odds Ratio (Random, 95% CI)

0.72 [0.46, 1.14]

2.2 Mortality

4

Odds Ratio (Random, 95% CI)

0.65 [0.45, 0.94]

3 Total cancer incidence and mortality (women) Show forest plot

6

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.3

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 3 Total cancer incidence and mortality (women).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 3 Total cancer incidence and mortality (women).

3.1 Incidence

2

Odds Ratio (Random, 95% CI)

0.90 [0.45, 1.77]

3.2 Mortality

4

Odds Ratio (Random, 95% CI)

0.91 [0.80, 1.03]

4 Total cancer incidence and mortality (ascending order of selenium levels) Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.4

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 4 Total cancer incidence and mortality (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 4 Total cancer incidence and mortality (ascending order of selenium levels).

4.1 Incidence

7

1642

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

4.2 Mortality

6

1230

Odds Ratio (Random, 95% CI)

0.63 [0.39, 1.01]

5 Total cancer incidence and mortality (ascending order of differences in selenium levels) Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.5

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 5 Total cancer incidence and mortality (ascending order of differences in selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 5 Total cancer incidence and mortality (ascending order of differences in selenium levels).

5.1 Incidence

7

190

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

5.2 Mortality

6

106

Odds Ratio (Random, 95% CI)

0.63 [0.39, 1.01]

6 Stomach cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.66 [0.43, 1.01]

Analysis 2.6

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 6 Stomach cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 6 Stomach cancer risk.

7 Stomach cancer risk (by sex) Show forest plot

5

Odds Ratio (Random, 95% CI)

0.66 [0.42, 1.04]

Analysis 2.7

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 7 Stomach cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 7 Stomach cancer risk (by sex).

7.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.75 [0.41, 1.36]

7.2 Male

3

Odds Ratio (Random, 95% CI)

0.43 [0.14, 1.32]

7.3 Female

2

Odds Ratio (Random, 95% CI)

0.73 [0.12, 4.35]

8 Colorectal cancer risk Show forest plot

6

Odds Ratio (Random, 95% CI)

0.82 [0.72, 0.94]

Analysis 2.8

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 8 Colorectal cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 8 Colorectal cancer risk.

9 Colorectal cancer risk (by sex) Show forest plot

6

Odds Ratio (Random, 95% CI)

0.83 [0.72, 0.95]

Analysis 2.9

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 9 Colorectal cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 9 Colorectal cancer risk (by sex).

9.1 All (male + female)

1

Odds Ratio (Random, 95% CI)

0.80 [0.68, 0.94]

9.2 Male

4

Odds Ratio (Random, 95% CI)

0.86 [0.65, 1.16]

9.3 Female

4

Odds Ratio (Random, 95% CI)

0.96 [0.61, 1.50]

10 Colon cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.81 [0.69, 0.96]

Analysis 2.10

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 10 Colon cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 10 Colon cancer risk.

11 Colon cancer risk (by sex) Show forest plot

5

Odds Ratio (Random, 95% CI)

0.81 [0.69, 0.96]

Analysis 2.11

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 11 Colon cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 11 Colon cancer risk (by sex).

11.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.84 [0.68, 1.03]

11.2 Male

3

Odds Ratio (Random, 95% CI)

0.84 [0.56, 1.25]

11.3 Female

2

Odds Ratio (Random, 95% CI)

0.68 [0.44, 1.04]

12 Lung cancer incidence and mortality Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

Analysis 2.12

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 12 Lung cancer incidence and mortality.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 12 Lung cancer incidence and mortality.

12.1 Incidence

11

Odds Ratio (Random, 95% CI)

0.82 [0.59, 1.14]

12.2 Mortality

2

Odds Ratio (Random, 95% CI)

1.34 [0.93, 1.93]

13 Lung cancer risk (sex‐disaggregated data) Show forest plot

13

Odds Ratio (Random, 95% CI)

0.89 [0.69, 1.14]

Analysis 2.13

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 13 Lung cancer risk (sex‐disaggregated data).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 13 Lung cancer risk (sex‐disaggregated data).

13.1 All (male + female)

5

Odds Ratio (Random, 95% CI)

0.74 [0.43, 1.28]

13.2 Male

7

Odds Ratio (Random, 95% CI)

0.98 [0.68, 1.39]

13.3 Female

4

Odds Ratio (Random, 95% CI)

0.83 [0.43, 1.61]

14 Lung cancer risk (by exposure assessment) Show forest plot

13

Odds Ratio (Random, 95% CI)

0.88 [0.65, 1.18]

Analysis 2.14

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 14 Lung cancer risk (by exposure assessment).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 14 Lung cancer risk (by exposure assessment).

14.1 Intake

2

Odds Ratio (Random, 95% CI)

1.32 [0.95, 1.84]

14.2 Serum or plasma

9

Odds Ratio (Random, 95% CI)

0.91 [0.70, 1.18]

14.3 Toenail

2

Odds Ratio (Random, 95% CI)

1.05 [0.11, 10.36]

15 Lung cancer risk (ascending order of selenium levels) Show forest plot

8

1938

Odds Ratio (Random, 95% CI)

0.97 [0.74, 1.27]

Analysis 2.15

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 15 Lung cancer risk (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 15 Lung cancer risk (ascending order of selenium levels).

16 Lung cancer risk (ascending order of differences in selenium levels) Show forest plot

8

188

Odds Ratio (Random, 95% CI)

0.97 [0.74, 1.27]

Analysis 2.16

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 16 Lung cancer risk (ascending order of differences in selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 16 Lung cancer risk (ascending order of differences in selenium levels).

17 Breast cancer risk (women) Show forest plot

8

Odds Ratio (Random, 95% CI)

1.09 [0.87, 1.37]

Analysis 2.17

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 17 Breast cancer risk (women).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 17 Breast cancer risk (women).

18 Bladder cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.67 [0.46, 0.97]

Analysis 2.18

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 18 Bladder cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 18 Bladder cancer risk.

18.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.65 [0.46, 0.92]

18.2 Male

3

Odds Ratio (Random, 95% CI)

0.82 [0.41, 1.62]

18.3 Female

1

Odds Ratio (Random, 95% CI)

0.36 [0.14, 0.92]

19 Prostate cancer risk Show forest plot

21

Odds Ratio (Random, 95% CI)

0.84 [0.75, 0.95]

Analysis 2.19

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 19 Prostate cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 19 Prostate cancer risk.

20 Prostate cancer risk (by exposure assessment) Show forest plot

21

Odds Ratio (Random, 95% CI)

0.84 [0.75, 0.95]

Analysis 2.20

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 20 Prostate cancer risk (by exposure assessment).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 20 Prostate cancer risk (by exposure assessment).

20.1 Intake and supplement

4

Odds Ratio (Random, 95% CI)

0.99 [0.85, 1.15]

20.2 Serum or plasma

13

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

20.3 Toenail

4

Odds Ratio (Random, 95% CI)

0.60 [0.44, 0.82]

21 Prostate cancer risk (ascending order of selenium levels) Show forest plot

13

2816

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

Analysis 2.21

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 21 Prostate cancer risk (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 21 Prostate cancer risk (ascending order of selenium levels).

22 Prostate cancer risk (ascending order of differences in selenium levels) Show forest plot

13

345

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

Analysis 2.22

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 22 Prostate cancer risk (ascending order of differences in selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 22 Prostate cancer risk (ascending order of differences in selenium levels).

Flow chart.
Figuras y tablas -
Figure 1

Flow chart.

Review authors’ judgements about each risk of bias item presented as percentages across all included RCTs and summary of review authors’ judgements about each risk of bias item for the included RCTs.
Figuras y tablas -
Figure 2

Review authors’ judgements about each risk of bias item presented as percentages across all included RCTs and summary of review authors’ judgements about each risk of bias item for the included RCTs.

Funnel plot of comparison: 1 Highest versus lowest selenium exposure, outcome: 2.1 Total cancer incidence and mortality.
Figuras y tablas -
Figure 3

Funnel plot of comparison: 1 Highest versus lowest selenium exposure, outcome: 2.1 Total cancer incidence and mortality.

Funnel plot of comparison: 1 Observational studies: highest versus lowest selenium exposure, outcome: 2.8 Colorectal cancer risk.
Figuras y tablas -
Figure 4

Funnel plot of comparison: 1 Observational studies: highest versus lowest selenium exposure, outcome: 2.8 Colorectal cancer risk.

Funnel plot of comparison: 1 Observational studies: highest versus lowest selenium exposure, outcome: 2.12 Lung cancer risk incidence and mortality
Figuras y tablas -
Figure 5

Funnel plot of comparison: 1 Observational studies: highest versus lowest selenium exposure, outcome: 2.12 Lung cancer risk incidence and mortality

Funnel plot of comparison: 1 Highest versus lowest selenium exposure, outcome: 2.19 Prostate cancer risk.
Figuras y tablas -
Figure 6

Funnel plot of comparison: 1 Highest versus lowest selenium exposure, outcome: 2.19 Prostate cancer risk.

Baseline circulating selenium levels in the NPC trial (Duffield‐Lillico 2003b in: NPCT 2002), the NBT (Algotar 2013), SWOG trial (as plasma selenium) (Marshall 2011), and SELECT (as serum selenium) (Lippman 2009, in: SELECT 2009). When median and interquartile values were reported, we estimated mean and standard deviation according to Cochrane guidelines provided in Higgins 2011a.
Figuras y tablas -
Figure 7

Baseline circulating selenium levels in the NPC trial (Duffield‐Lillico 2003b in: NPCT 2002), the NBT (Algotar 2013), SWOG trial (as plasma selenium) (Marshall 2011), and SELECT (as serum selenium) (Lippman 2009, in: SELECT 2009). When median and interquartile values were reported, we estimated mean and standard deviation according to Cochrane guidelines provided in Higgins 2011a.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 1 Any cancer risk.
Figuras y tablas -
Analysis 1.1

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 1 Any cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 2 Cancer mortality.
Figuras y tablas -
Analysis 1.2

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 2 Cancer mortality.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 3 Head and neck cancer risk.
Figuras y tablas -
Analysis 1.3

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 3 Head and neck cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 4 Oesophageal cancer risk.
Figuras y tablas -
Analysis 1.4

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 4 Oesophageal cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 5 Colorectal cancer risk.
Figuras y tablas -
Analysis 1.5

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 5 Colorectal cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 6 Liver cancer risk.
Figuras y tablas -
Analysis 1.6

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 6 Liver cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 7 Melanoma risk.
Figuras y tablas -
Analysis 1.7

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 7 Melanoma risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 8 Non‐melanoma skin cancer risk.
Figuras y tablas -
Analysis 1.8

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 8 Non‐melanoma skin cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 9 Lung cancer risk.
Figuras y tablas -
Analysis 1.9

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 9 Lung cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 10 Breast cancer risk.
Figuras y tablas -
Analysis 1.10

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 10 Breast cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 11 Bladder cancer risk.
Figuras y tablas -
Analysis 1.11

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 11 Bladder cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 12 Prostate cancer risk.
Figuras y tablas -
Analysis 1.12

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 12 Prostate cancer risk.

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 13 Leukaemia and lymphoma risk.
Figuras y tablas -
Analysis 1.13

Comparison 1 Randomised controlled trials: highest versus lowest selenium exposure, Outcome 13 Leukaemia and lymphoma risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 1 Total cancer incidence and mortality.
Figuras y tablas -
Analysis 2.1

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 1 Total cancer incidence and mortality.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 2 Total cancer incidence and mortality (men).
Figuras y tablas -
Analysis 2.2

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 2 Total cancer incidence and mortality (men).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 3 Total cancer incidence and mortality (women).
Figuras y tablas -
Analysis 2.3

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 3 Total cancer incidence and mortality (women).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 4 Total cancer incidence and mortality (ascending order of selenium levels).
Figuras y tablas -
Analysis 2.4

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 4 Total cancer incidence and mortality (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 5 Total cancer incidence and mortality (ascending order of differences in selenium levels).
Figuras y tablas -
Analysis 2.5

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 5 Total cancer incidence and mortality (ascending order of differences in selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 6 Stomach cancer risk.
Figuras y tablas -
Analysis 2.6

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 6 Stomach cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 7 Stomach cancer risk (by sex).
Figuras y tablas -
Analysis 2.7

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 7 Stomach cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 8 Colorectal cancer risk.
Figuras y tablas -
Analysis 2.8

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 8 Colorectal cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 9 Colorectal cancer risk (by sex).
Figuras y tablas -
Analysis 2.9

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 9 Colorectal cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 10 Colon cancer risk.
Figuras y tablas -
Analysis 2.10

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 10 Colon cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 11 Colon cancer risk (by sex).
Figuras y tablas -
Analysis 2.11

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 11 Colon cancer risk (by sex).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 12 Lung cancer incidence and mortality.
Figuras y tablas -
Analysis 2.12

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 12 Lung cancer incidence and mortality.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 13 Lung cancer risk (sex‐disaggregated data).
Figuras y tablas -
Analysis 2.13

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 13 Lung cancer risk (sex‐disaggregated data).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 14 Lung cancer risk (by exposure assessment).
Figuras y tablas -
Analysis 2.14

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 14 Lung cancer risk (by exposure assessment).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 15 Lung cancer risk (ascending order of selenium levels).
Figuras y tablas -
Analysis 2.15

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 15 Lung cancer risk (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 16 Lung cancer risk (ascending order of differences in selenium levels).
Figuras y tablas -
Analysis 2.16

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 16 Lung cancer risk (ascending order of differences in selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 17 Breast cancer risk (women).
Figuras y tablas -
Analysis 2.17

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 17 Breast cancer risk (women).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 18 Bladder cancer risk.
Figuras y tablas -
Analysis 2.18

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 18 Bladder cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 19 Prostate cancer risk.
Figuras y tablas -
Analysis 2.19

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 19 Prostate cancer risk.

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 20 Prostate cancer risk (by exposure assessment).
Figuras y tablas -
Analysis 2.20

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 20 Prostate cancer risk (by exposure assessment).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 21 Prostate cancer risk (ascending order of selenium levels).
Figuras y tablas -
Analysis 2.21

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 21 Prostate cancer risk (ascending order of selenium levels).

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 22 Prostate cancer risk (ascending order of differences in selenium levels).
Figuras y tablas -
Analysis 2.22

Comparison 2 Observational studies: highest versus lowest selenium exposure, Outcome 22 Prostate cancer risk (ascending order of differences in selenium levels).

Summary of findings for the main comparison. Highest compared with lowest selenium exposure for preventing cancer in randomised controlled studies with low risk of bias

Highest compared with lowest selenium exposure for preventing cancer in randomised controlled studies with low risk of bias

Patient or population: Participants in trials with low risk of bias
Setting: out‐patient
Intervention: highest selenium exposure
Comparison: lowest selenium exposure

Outcomes

Relative effect
(95% CI)

Anticipated absolute effects* (95% CI)

Quality of the evidence
(GRADE)

Comments

Without highest

With highest

Difference

Any cancer risk
No. of participants: 19,475
(3 RCTs)

RR 1.01
(0.93 to 1.10)

Study population

⊕⊕⊕⊕
HIGH

SELECT study had the strongest influence on the effect estimate. The RR in all RCTs is 0.99 (95% CI 0.86 to 1.14).

10.0%

10.1%
(9.3 to 11.0)

0.1% more
(0.7 fewer to 1 more)

Cancer mortality risk
No. of participants: 17,448
(1 RCT)

RR 1.02
(0.80 to 1.30)

Study population

⊕⊕⊕⊕
HIGH

The effect is led from the study SELECT. The RR in all RCTs is 0.81 (95% CI 0.49 to 1.32).

1.4%

1.5%
(1.1 to 1.9)

0.0% more
(0.3 fewer to 0.4 more)

Colorectal cancer risk
No. of participants: 19,009
(2 RCTs)

RR 0.99
(0.69 to 1.43)

Study population

⊕⊕⊕⊕
HIGH

SELECT study had the strongest influence on the effect estimate. The RR in all RCTs is 0.74 (95% CI 0.41 to 1.33).

0.7%

0.7%
(0.5 to 1.0)

0.0% fewer
(0.2 fewer to 0.3 more)

Non‐melanoma skin cancer risk
No. of participants: 2027
(2 RCTs)

RR 1.16
(0.30 to 4.42)

Study population

⊕⊕⊕⊝
MODERATEa

Pooled estimate is imprecise owing to high heterogeneity. The RR in all RCTs is 1.23 (95% CI 0.73 to 2.08).

2.9%

3.4%
(0.9 to 12.9)

0.5% more
(2 fewer to 10 more)

Lung cancer risk
No. of participants: 19,009
(2 RCTs)

RR 1.16
(0.89 to 1.50)

Study population

⊕⊕⊕⊕
HIGH

The RR in all RCTs is 1.03 (95% CI 0.78 to 1.37).

1.0%

1.2%
(0.9 to 1.5)

0.2% more
(0.1 fewer to 0.5 more)

Breast cancer risk
No. of participants: 802
(1 RCT)

RR 2.04
(0.44 to 9.55)

Study population

⊕⊕⊕⊝
MODERATEb

The RR in all RCTs is 1.44 (95% CI 0.96 to 2.17).

0.7%

1.5%
(0.3 to 7.0)

0.8% more
(0.4 fewer to 6.3 more)

Bladder cancer risk
No. of participants: 19,009
(2 RCTs)

RR 1.07
(0.76 to 1.52)

Study population

⊕⊕⊕⊕
HIGH

SELECT study had the strongest influence on the effect estimate. The RR in all RCTs is 1.10 (95% CI 0.79 to 1.52).

0.6%

0.7%
(0.5 to 1.0)

0.0% fewer
(0.2 fewer to 0.3 more)

Prostate cancer risk
No. of participants: 18,942
(4 RCTs)

RR 1.01
(0.90 to 1.14)

Study population

⊕⊕⊕⊕
HIGH

SELECT study had the strongest influence on the effect estimate. The RR in all RCTs is 0.91 (95% CI 0.75 to 1.12).

5.4%

5.4%
(4.8 to 6.1)

0.1% more
(0.5 fewer to 0.8 more)

*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).

CI: confidence interval; OR: odds ratio; RCT: randomised controlled trial; RR: risk ratio; SELECT: Selenium and Vitamin E Cancer Prevention Trial.

GRADE Working Group grades of evidence.
High quality: We are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.
Very low quality: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level for moderate heterogeneity (tau² = 0.69, I² = 72%, P = 0.06) not explained.
bDowngraded one level owing to imprecision.

Figuras y tablas -
Summary of findings for the main comparison. Highest compared with lowest selenium exposure for preventing cancer in randomised controlled studies with low risk of bias
Summary of findings 2. Highest compared with lowest selenium exposure for preventing cancer in observational studies

Highest compared with lowest selenium exposure for preventing cancer in observational studies

Patient or population: Participants in non experimental cohort studies on selenium and cancer
Setting: out‐patient
Intervention: highest selenium exposure
Comparison: lowest selenium exposure

Outcomes

Relative effect
(95% CI)

Certainty of the evidence
(GRADE)

Any cancer risk

No. of participants: 76,239
(7 observational studies)

OR 0.72
(0.55 to 0.93)

⊕⊝⊝⊝
VERY LOWa

Cancer mortality risk

No. of participants: 183,863
(7 observational studies)

OR 0.76

(0.59 to 0.97)

⊕⊝⊝⊝
VERY LOWa

Colorectal cancer risk

No. of participants: 712,746
(6 observational studies)

OR 0.82
(0.72 to 0.94)

⊕⊝⊝⊝
VERY LOWa

Lung cancer risk

No. of participants: 371,067
(11 observational studies)

OR 0.82
(0.59 to 1.14)

⊕⊝⊝⊝
VERY LOWa,b,c

Breast cancer risk (women)

No. of participants: 169,028
(8 observational studies)

OR 1.09
(0.87 to 1.37)

⊕⊝⊝⊝
VERY LOWa,c

Bladder cancer risk

No. of participants: 279,100
(5 observational studies)

OR 0.67
(0.46 to 0.97)

⊕⊝⊝⊝
VERY LOWa,c

Prostate cancer risk

No. of participants: 576,667
(21 observational studies)

OR 0.84
(0.75 to 0.95)

⊕⊝⊝⊝
VERY LOWa,d

CI: confidence interval; OR: odds ratio.

GRADE Working Group grades of evidence.
High certainty: We are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: We are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: Our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.
Very low certainty: We have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level owing to risk of bias, which we deemed as serious because of inability to rule out unmeasured confounding, particularly from lifestyle or nutritional factors that might covary with selenium exposure beyond those factors taken into account in the multi‐variable analyses.
bDowngraded one level for moderate heterogeneity (tau² = 0.19, I² = 66%, P = 0.0008) not explained.
cDowngraded one level owing to imprecision.
dDowngraded one level owing to potential presence of publication bias suggested by the funnel plot.

Figuras y tablas -
Summary of findings 2. Highest compared with lowest selenium exposure for preventing cancer in observational studies
Table 1. Included observational studies by outcome

Organ system

Outcome

Number of studies/case definitions

Meta‐
analysis

Countries

Number of participants

Number of cases

Selenium assessment

Reporting study

Any cancer

Any cancer

total: 16

incidence: 7
mortality: 7
incidence and mortality combined: 1

✓ yes

USA
Finland
Netherlands
Sweden
Norway
Belgium
France

China

Japan

total: ˜ 276,000

total: 6488

male: 3196

female: 1541

serum: 12

plasma: 2

serum + plasma: 1

dietary intake: 1

Willett 1983

Salonen 1984

Peleg 1985

Salonen 1985
Nomura 1987
Virtamo 1987

Coates 1988
Fex 1987

Kok 1987a
Ringstad 1988

Knekt 1990

Kornitzer 2004
Akbaraly 2005
Bleys 2008

Fujishima 2011

Sun 2016

Gynaecological cancer

Female breast cancer

total: 8

incidence: 8
mortality: 0
incidence and mortality combined: 0

✓ yes

USA
Finland
Netherlands
Channel Islands

total/female: 169,028

total/female: 1277

serum: 2

plasma: 1

serum + plasma: 1

toenail: 3

intake: 1

van Noord 1987
Coates 1988

Knekt 1990

Overvad 1991
van den Brandt 1993
Garland 1995

Dorgan 1998

Pantavos 2015

Cervical cancer

total: 2

incidence: 2
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total/female: > 15,161

(1 study did not report cohort size by sex)

total/female: 62

serum: 2

Menkes 1986
Coates 1988

Uterine cancer

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total/female: 62,641

total/female: 91

toenail: 1

Garland 1995

Ovarian cancer

total: 4

incidence: 4
mortality: 0
incidence and mortality combined: 0

✗ no

USA
Finland

total/female: ˜ 214,000

total/female: 568

serum: 2

toenail: 1

supplemental intake: 1

Menkes 1986

Knekt 1990
Garland 1995
Thomson 2008

Gynaecological cancer (without breast cancer)

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

Finland

total/female: 18,096

total/female: 86

serum: 1

Knekt 1990

Urological cancers

Renal cancer

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

United Kindom

total: 23,658

total: 65

dietary intake: 1

Banim 2013

Urinary bladder cancer

total: 6

incidence: 6
mortality: 0
incidence & mortality combined: 0

✓ yes

USA/Hawaii
Finland
Netherlands

total: 279,100

female: 130,786

male: 128,009

total: 1295

female: 175

male 755

serum: 3

toenail: 3

Menkes 1986
Nomura 1987
van den Brandt 1993
Michaud 2002

Michaud 2005

Hotaling 2011

Urinary tract cancer

total: 1

incidence: 1
mortality: 0
incidence & mortality combined: 0

✗ no

Netherlands

total: 38,500

total: 47

male: 34

female: 13

serum: 1

Knekt 1990

Respiratory tract cancers

Lung cancer

total: 15

incidence: 13
mortality: 2
incidence and mortality combined: 0

✓ yes

China
Japan
USA
Finland
Netherlands

Denmark

total: 371,067

male: 125,341

female: 181,895

total: 2223

male: 1384

female: 416

serum: 9

serum + plasma: 2

toenail: 2

dietary intake: 2

(1 study reported both serum levels and food intake)

Menkes 1986
Kromhout 1987
Nomura 1987

Coates 1988

Knekt 1990
van den Brandt 1993
Kabuto 1994
Garland 1995
Comstock 1997

Knekt 1998
Ratnasinghe 2000

Goodman 2001
Epplein 2009

Suadicani 2012

Muka 2017

Oral/pharyngeal cancer

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total: 20,305

total: 28

serum: 1

Menkes 1986

Andrological cancers

Prostate cancer

total: 21

incidence: 21
mortality: 0
incidence and mortality combined: 0

✓ yes

USA

Canada

Puerto Rico
Europe

total/male: 576,667

total/male: 14,950

serum: 8

plasma: 5

toenail: 4

dietary intake: 4

Coates 1988
van den Brandt 1993

Hartman 1998

Yoshizawa 1998

Helzlsouer 2000
Nomura 2000

Brooks 2001
Goodman 2001
Li 2004a
Peters 2007

Allen 2008
Peters 2008
Epplein 2009

Kristal 2014

Park 2015

Outzen 2016

Graff 2017

Gastrointestinal cancers

Oesophageal cancer

total: 2

incidence: 2
mortality: 1
incidence and mortality combined: 0

✗ no

China
USA

total: 29,923

total: > 959

serum: 1

supplemental intake: 1

Wei 2004
Dong 2008

Oesophageal squamous cell carcinoma

total:2

incidence: 2
mortality: 0
incidence and mortality combined: 0

✗ no

Netherlands

Iran

total: 168,257

total: 265

toenail: 1

intake: 1

Steinbrecher 2010

Hashemian 2015

Oesophageal adenocarcinoma

total:1

incidence:1
mortality:0
incidence and mortality combined: 0

✗ no

Netherlands

total: 120,852

total: 112

toenail: 1

Steinbrecher 2010

Oesophageal/stomach cancer

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

Netherlands

total: 36,265

total: 86

male: 51

female: 35

serum: 1

Knekt 1998

Gastric cardia adenocarcinoma

total:1

incidence:1
mortality:0
incidence and mortality combined: 0

✗ no

Netherlands

total: 120,852

total:114

toenail: 1

Steinbrecher 2010

Stomach cancer

total: 5

incidence: 5
mortality: 1
incidence and mortality combined: 0

✓ yes

China
Japan
USA/Hawaii
Finland
Netherlands

total: ˜ 197,000

male: 86,311

female: 80,669

total: 955

male: 626

female: 329

serum: 4

toenail: 1

Nomura 1987

Knekt 1990
van den Brandt 1993
Kabuto 1994
Wei 2004

Primary liver cancer

total: 4

incidence: 3
mortality: 1
incidence and mortality combined: 0

✗ no

China

Europe

Taiwan

total: 701,809

male: 61,470

female: 74,941

total: 877

male: 567

female: 204

plasma: 1

serum: 1

toenail: 1

intake: 1

Yu 1999
Sakoda 2005

Hughes 2016

Ma 2017

Pancreatic cancer

total: 4

incidence: 4
mortality: 0
incidence and mortality combined: 0

✗ no

USA
Finland

UK

total: 159,062

total: 311

male: 69

female: 84

serum: 2

intake: 1

supplemental intake: 1

Menkes 1986
Knekt 1990

Banim 2013

Han 2013

Colorectal cancer

total: 6

incidence: 6
mortality: 0
incidence and mortality combined: 0

✓ yes

USA/Hawaii
Europe

total: 712,746

male: 216,272

female: 442,266

total: 2627

male: 810

female: 797

serum: 3

toenail: 2

supplement use: 1

Nomura 1987

Knekt 1990

van den Brandt 1993

Garland 1995

Hansen 2013

Hughes 2015

Colon cancer

total: 5

incidence: 5
mortality: 0
incidence and mortality combined: 0

✓ yes

USA/Hawaii

Europe

total: 636,641

male: 195,100

female: 361,529

total: 1677

male: 525

female: 510

serum: 3

toenail: 1

supplement use: 1

Menkes 1986

Nomura 1987

van den Brandt 1993

Hansen 2013

Hughes 2015

Rectal cancer

total: 4

incidence: 4
mortality: 0
incidence and mortality combined: 0

✗ no

USA/Hawaii
Europe

total: 610,837

male: 195,100

female: 361,529

total: 861

male: 303

female: 210

serum: 2

toenail: 1

supplement use:1

Nomura 1987

van den Brandt 1993

Hansen 2013

Hughes 2015

All gastrointestinal cancers

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total: 6,167

total: 143

plasma and serum: 1

Coates 1988

Skin cancer

Melanoma

total: 3

incidence: 3
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total: ˜ 158,000

total: 547

serum: 1

toenail: 1

supplemental intake: 1

Menkes 1986

Garland 1995

Peters 2008

Basal cell carcinoma

total: 3

incidence: 3
mortality: 0
incidence and mortality combined: 0

✗ no

Australia
USA
Finland

total: > 66,000

total: 292

serum: 3

dietary intake: 1

Menkes 1986

Knekt 1990
McNaughton 2005

Squamous cell carcinoma

total: 4

incidence: 4
mortality: 0
incidence and mortality combined: 0

✗ no

Australia
USA

total: ˜ 30,000

total: 488

serum: 2

plasma: 1

dietary intake: 1

Menkes 1986

Combs 1993
Karagas 1997
McNaughton 2005

Total non‐melanoma skin cancer

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total: 117

total: 19

plasma: 1

Clark 1985

Rare and other cancers

Haematological cancers

total: 1

incidence: 1
mortality: 0
incidence and mortality combined: 0

✗ no

USA

total: 6167

total: 12

serum + plasma: 1

Coates 1988

Thyroid cancer

total: 2

incidence: 2
mortality: 0
incidence and mortality combined: 0

✗ no

Norway

total: 582,807

male: 287,944

female: 194,863

total: 635

male: 269

female: 366

serum: 1

intake:1

Glattre 1989

O'Grady 2014

Other cancers

total: 4

incidence: 3
mortality: 1
incidence and mortality combined: 0

✗ no

China
USA
Finland

total: 109,179

male: 21,172

female: 80,737

total: 512

male: 169

female: 285

serum: 2

serum + plasma: 1

toenail: 1

Coates 1988
Knekt 1990

Garland 1995

Wei 2004

Some studies did not report the sex of participants or cancer cases; consequently, figures for women and men do not always sum up to the total number of participants or cancer cases.

Figuras y tablas -
Table 1. Included observational studies by outcome
Table 2. Risk of bias: observational studies

Study

Publication

Newcastle‐Ottawa Scale (cohort)

Newcastle‐Ottawa Scale (case‐control)

Selection

Comparability

Outcome

Total

Selection

Comparability

Exposure

Total

Agalliu 2011

Agalliu 2011

0‐1‐0‐1

1

1‐1‐0

5

0‐1‐0‐1

1

1‐1‐0

5

Akbaraly 2005

Akbaraly 2005

0‐1‐1‐1

2

0‐1‐0

6

.‐.‐.‐.

.

.‐.‐.

.

Allen 2008

Allen 2008

1‐1‐1‐1

2

1‐1‐0

8

1‐1‐1‐1

2

1‐1‐1

9

Banim 2013

Banim 2013

1‐1‐1‐1

2

1‐1‐1

9

1‐1‐1‐1

2

1‐1‐1

9

Barrass 2013

1‐1‐1‐1

2

1‐1‐1

9

1‐1‐1‐1

2

1‐1‐1

9

Bleys 2008

Bleys 2008

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Goyal 2013

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Brooks 2001

Brooks 2001

0‐1‐1‐0

2

1‐0‐0

5

1‐0‐1‐1

2

1‐1‐0

7

Clark 1985

Clark 1985

0‐1‐1‐0

0

0‐0‐0

2

.‐.‐.‐.

.

.‐.‐.

.

Coates 1988

Coates 1988

0‐1‐1‐0

1

1‐1‐0

5

1‐0‐1‐0

1

1‐1‐1

6

Coates 1987

.‐.‐.‐.

.

.‐.‐.

.

.‐.‐.‐.

.

.‐.‐.

.

Combs 1993

Combs 1993

0‐1‐1‐0

2

1‐0‐0

5

.‐.‐.‐.

.

.‐.‐.

.

Comstock 1997

Comstock 1997

0‐1‐1‐0

2

1‐1‐0

6

1‐1‐1‐1

2

1‐1‐1

9

Dong 2008

Dong 2008

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Dorgan 1998

Dorgan 1998

0‐1‐1‐1

2

0‐1‐0

6

1‐1‐1‐1

2

1‐1‐1

9

Epplein 2009

Epplein 2009

0‐1‐1‐1

2

1‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Gill 2009

0‐1‐1‐1

1

1‐1‐0

6

0‐1‐1‐1

1

1‐1‐1

7

Fex 1987

Fex 1987

1‐1‐1‐0

2

1‐1‐1

8

1‐0‐1‐1

2

1‐1‐1

8

Fujishima 2011

Fujishima 2011

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Garland 1995

Garland 1995

0‐1‐1‐1

2

1‐1‐1

8

1‐1‐1‐1

2

1‐1‐1

9

Hunter 1990

0‐1‐1‐1

2

1‐1‐1

8

1‐1‐1‐1

2

1‐1‐1

9

Glattre 1989

Glattre 1989

0‐1‐1‐0

1

1‐1‐1

6

1‐1‐1‐1

1

1‐1‐1

8

Goodman 2001

Goodman 2001

0‐1‐1‐0

2

1‐1‐0

6

1‐1‐1‐1

2

1‐1‐1

9

Graff 2017

Graff 2017

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Grundmark 2011

Grundmark 2011

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Han 2013

Han 2013

0‐1‐0‐1

2

1‐1‐0

7

.‐.‐.‐.

.

.‐.‐.

.

Hansen 2013

Hansen 2013

0‐1‐1‐1

1

1‐1‐1

7

.‐.‐.‐.

.

.‐.‐.

.

Hartman 1998

Hartman 1998

1‐1‐0‐1

2

1‐1‐0

7

.‐.‐.‐.

.

.‐.‐.

.

Hashemian 2015

Hashemian 2015

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Helzlsouer 2000

Helzlsouer 2000

0‐1‐1‐1

1

1‐1‐0

6

1‐1‐1‐1

1

1‐1‐1

8

Hughes 2015

Hughes 2015

1‐1‐1‐1

2

0‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Hughes 2016

Hughes 2016

1‐1‐1‐1

2

0‐1‐1

8

0‐1‐1‐1

2

1‐1‐1

8

Kabuto 1994

Kabuto 1994

0‐1‐1‐1

2

1‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Karagas 1997

Karagas 1997

0‐1‐1‐1

2

1‐1‐1

8

1‐1‐1‐1

2

1‐1‐1

9

Knekt 1990

Knekt 1990

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐1‐1

8

Hakama 1990

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐1‐1

8

Knekt 1988

1‐1‐1‐1

2

1‐1‐1

9

0‐0‐1‐1

2

1‐1‐1

7

Knekt 1996

1‐1‐1‐1

1

1‐1‐1

8

0‐1‐1‐1

1

1‐1‐1

7

Knekt 1991

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐1‐1

8

Knekt 1998

Knekt 1998

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐1‐1

8

Kok 1987a

Kok 1987b

1‐1‐1‐1

2

1‐1‐1

9

1‐0‐1‐1

2

1‐1‐1

8

Kok 1987a

.‐.‐.‐.

.

.‐.‐.

.

.‐.‐.‐.

.

.‐.‐.

.

Kornitzer 2004

Kornitzer 2004

1‐1‐1‐0

1

1‐1‐1

7

1‐1‐1‐1

1

1‐1‐1

8

Kristal 2014

Kristal 2014

1‐1‐1‐1

1

1‐1‐1

8

1‐1‐1‐1

1

1‐1‐1

8

Kromhout 1987

Kromhout 1987

1‐1‐1‐0

2

1‐1‐1

8

.‐.‐.‐.

.

.‐.‐.

.

Li 2004a

Li 2004a

0‐1‐1‐1

2

0‐1‐1

7

1‐1‐1‐1

2

1‐1‐1

9

Ma 2017

Ma 2017

1‐1‐1‐1

2

1‐1‐0

8

.‐.‐.‐.

.

.‐.‐.

.

McNaughton 2005

McNaughton 2005

1‐1‐1‐1

1

1‐1‐0

7

1‐1‐1‐1

1

1‐1‐1

8

Heinen 2007

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

van der Pols 2009

1‐1‐1‐1

2

1‐1‐0

8

.‐.‐.‐.

.

.‐.‐.

.

Menkes 1986

Menkes 1986

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Batieha 1993

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Breslow 1995

0‐1‐1‐1

2

1‐1‐0

7

1‐0‐1‐1

2

1‐1‐1

8

Burney 1989

0‐1‐1‐1

2

1‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Helzlsouer 1996

0‐1‐1‐1

2

1‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Helzlsouer 1989

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Ko 1994

0‐1‐1‐0

2

1‐1‐0

6

1‐1‐1‐1

2

1‐1‐1

9

Menkes 1986

.‐.‐.‐.

.

.‐.‐.

.

.‐.‐.‐.

.

.‐.‐.

.

Schober 1987

0‐1‐1‐1

1

1‐1‐0

6

0‐1‐1‐1

1

1‐1‐1

7

Schober 1986

.‐.‐.‐.

.

.‐.‐.

.

.‐.‐.‐.

.

.‐.‐.

.

Zheng 1993

0‐1‐1‐1

2

1‐1‐0

7

0‐1‐1‐1

2

1‐1‐1

8

Michaud 2002

Michaud 2002

1‐1‐1‐1

2

1‐1‐0

8

0‐1‐1‐1

2

1‐1‐1

8

Michaud 2005

Michaud 2005

0‐1‐1‐1

2

0‐1‐0

6

1‐1‐1‐1

2

1‐1‐1

9

Muka 2017

Muka 2017

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Nomura 1987

Nomura 1987

1‐1‐1‐1

2

1‐1‐1

9

1‐1‐1‐1

2

1‐1‐1

9

Nomura 2000

Nomura 2000

1‐1‐1‐1

2

1‐1‐1

9

1‐1‐1‐1

2

1‐1‐1

9

O'Grady 2014

O'Grady 2014

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Outzen 2016

Outzen 2016

1‐1‐1‐1

2

1‐1‐1

9

1‐0‐1‐1

2

1‐1‐1

8

Overvad 1991

Overvad 1991

1‐1‐1‐0

1

1‐1‐0

6

.‐.‐.‐.

.

.‐.‐.

.

Pantavos 2015

Pantavos 2015

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Park 2015

Park 2015

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Peleg 1985

Peleg 1985

1‐1‐1‐1

1

1‐1‐0

7

1‐1‐1‐1

1

1‐1‐1

8

Peters 2007

Peters 2007

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Peters 2008

Peters 2008

0‐1‐1‐1

1

1‐1‐1

7

.‐.‐.‐.

.

.‐.‐.

.

Asgari 2009

0‐1‐1‐1

1

1‐1‐0

6

.‐.‐.‐.

.

.‐.‐.

.

Hotaling 2011

0‐1‐0‐1

0

1‐1‐1

5

.‐.‐.‐.

.

.‐.‐.

.

Walter 2011

0‐1‐0‐1

2

1‐1‐1

7

.‐.‐.‐.

.

.‐.‐.

.

Ratnasinghe 2000

Ratnasinghe 2000

1‐1‐1‐1

2

1‐0‐0

7

0‐0‐1‐1

2

1‐1‐1

7

Ringstad 1988

Ringstad 1988

1‐1‐1‐1

2

1‐1‐0

8

1‐1‐1‐1

2

1‐1‐1

9

Thomson 2008

Thomson 2008

0‐1‐1‐1

2

0‐1‐0

6

.‐.‐.‐.

.

.‐.‐.

.

Sakoda 2005

Sakoda 2005

0‐1‐1‐0

1

1‐1‐0

5

1‐1‐1‐1

1

1‐1‐1

8

Salonen 1984

Salonen 1984

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐1‐1

8

Salonen 1985

Salonen 1985

1‐1‐1‐1

2

1‐1‐1

9

1‐1‐1‐1

2

1‐1‐1

9

Steinbrecher 2010

Steinbrecher 2010

1‐1‐1‐1

2

0‐1‐0

7

1‐1‐1‐1

2

0‐1‐1

8

Suadicani 2012

Suadicani 2012

0‐1‐1‐1

2

1‐1‐1

8

.‐.‐.‐.

.

.‐.‐.

.

Sun 2016

Sun 2016

1‐1‐1‐1

2

1‐1‐0

8

.‐.‐.‐.

.

.‐.‐.

.

van den Brandt 1993

van den Brandt 1993

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

van den Brandt 1994

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

van den Brandt 1993

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

van den Brandt 2003

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Zeegers 2002

1‐1‐1‐1

2

1‐1‐1

9

.‐.‐.‐.

.

.‐.‐.

.

Steevens 2010

1‐1‐1‐1

2

1‐1‐1

9

0‐1‐1‐1

2

1‐0

6

van Noord 1987

van Noord 1987

1‐1‐1‐0

1

1‐0‐1

6

1‐1‐1‐0

1

1‐1‐1

7

Virtamo 1987

Virtamo 1987

0‐1‐1‐1

2

1‐1‐1

8

.‐.‐.‐.

.

.‐.‐.

.

Wei 2004

Wei 2004

1‐1‐1‐1

1

1‐1‐1

8

.‐.‐.‐.

.

.‐.‐.

.

Mark 2000

1‐1‐1‐1

1

1‐1‐1

8

.‐.‐.‐.

.

.‐.‐.

.

Willett 1983

Willett 1983

1‐1‐1‐0

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Yoshizawa 1998

Yoshizawa 1998

0‐1‐1‐1

2

1‐1‐1

8

1‐0‐1‐1

2

1‐1‐1

8

Yu 1999

Yu 1999

0‐1‐1‐1

2

1‐1‐0

7

1‐1‐1‐1

2

1‐1‐1

9

Figuras y tablas -
Table 2. Risk of bias: observational studies
Table 3. Results of observational studies not included in meta‐analysis

Organ system

Cancer

Case definition

Risk ratio estimate (highest vs lowest exposure category)

95% CI

Selenium marker

Sex

Study

Gynaecological

Cervix

incidence

0.89

0.40 to 2.00

serum

women

Menkes 1986 (Batieha 1993)

1.10

n.r. 

serum

Coates 1988

Gynaecological (without breast)

incidence

0.96

n.r. 

serum

Knekt 1990

Ovary

incidence

0.87

0.25 to 5.26

serum

Knekt 1990 (Knekt 1996)

1.22

0.44 to 3.38

toenail

Garland 1995

0.58

0.2 to 1.7

serum

Menkes 1986 (Helzlsour 1996)

1.00

0.73 to 1.37

suppl. intake

Thomson 2008

Uterus

incidence

1.38

0.62 to 3.08

toenail

Garland 1995

Gastrointestinal

Gastrointestinal tract (all)

incidence

1.00

n.r. 

serum/plasma

both

Coates 1988

Oesophageal squamous cell carcinoma

incidence

0.37

0.16 to 0.86

toenail

both

Steevens 2010

0.67

0.53 to 1.30

intake

both

Hashemian 2015

Oesophageal adenocarcinoma

incidence

0.76

0.41 to 1.40

toenail

both

Steevens 2010

Oesophagus

incidence

0.56

0.44 to 0.71

serum

both

Wei 2004 (Mark 2000)

mortality

0.62

0.44 to 0.89

serum

mortality

0.35

0.16 to 0.81

serum

both

Wei 2004 (Wei 2004)

incidence

0.27

0.03 to 2.21

suppl. intake

 both

Dong 2008

Gastric cardio adenocarcinoma

incidence

0.52

0.27 to 1.02

toenail

both

Steevens 2010

Oesophagus and stomach

incidence

0.45

n.r. 

serum

men

Knekt 1990 (Knekt 1988)

incidence

0.67

n.r. 

serum

women

Liver

incidence

0.62

0.21 to 1.86

plasma

men

Yu 1999

0.41

0.23 to 0.72

serum

both

Hughes 2016

0.86

0.52 to to 1.43

intake

both

Ma 2017

0.95

0.51 to 1.76

men

0.70

0.26 to 1.90

women

mortality

0.50

0.28 to 0.90

toenail

both

Sakoda 2005

0.57

0.31 to 1.05

men

0.18

0.03 to 1.13

women

Pancreas

incidence

0.08

0.01 to 0.56

serum

men

Menkes 1986 (Burney 1989)

0.83

0.40 to 1.67

women

0.58

n.r. 

serum

men

Knekt 1990

3.49

n.r. 

women

0.72

0.36 to 1.43

intake

both

Banim 2013

0.69

0.39 to 1.20

supplemental intake

both

Han 2013

Rectum

incidence

0.625

n.r. 

serum

men

Nomura 1987

1.05

0.54 to 2.03

toenail

both

van den Brandt 1993

 

0.91

0.41 to 2.00

men

1.58

0.59 to 4.22

women

0.80

0.68 to 0.95

supplement use

both

Hansen 2013

1.09

0.63 to 1.89

serum

both

Hughes 2015

1.32

0.55 to 3.19

men

0.76

0.32 to 1.80

women

Urological cancers

Renal cancer

incidence

0.40

0.17 to 0.98

dietary intake

both

Banim 2013

Urinary tract (all)

incidence

0.97

0.72 to 1.31

serum

both

Hotaling 2011

0.81

n.r. 

serum

men

Knekt 1990

4.12

n.r. 

women

Respiratory tract

Cavum oris/pharynx

incidence

5.43

n.r. 

serum

 both

Menkes 1986 (Zheng 1993)

Skin

Melanoma

incidence

1.66

0.71 to 3.85

toenail

women

Garland 1995

0.90

0.30 to 2.50

serum

both

Menkes 1986 (Breslow 1995)

0.98

0.69 to 1.41

suppl. intake

both

Peters 2008 (Asgari 2009)

Any non‐melanoma cancer

incidence

0.77

n.r. 

plasma

both

Clark 1985

Basal cell carcinoma

incidence

0.54

n.r. 

serum

men

Knekt 1990

1.55

n.r. 

women

0.80

0.10 to 4.5

serum

both

Menkes 1986 (Breslow 1995)

0.86

0.38 to 1.96

serum

both

McNaughton 2005

0.95

0.59 to 1.50

intake

Squamous cell carcinoma

incidence

0.69

0.51 to 0.92

plasma

both

Combs 1993

0.60

0.20 to 1.50

serum

both

Menkes 1986 (Breslow 1995)

0.86

0.47 to 1.58

plasma

both

Karagas 1997

1.30

0.77 to 2.3

intake

both

McNaughton 2005

0.49

0.24 to 0.99

serum

Other

Haematological

incidence

0.60

n.r. 

serum/plasma

both

Coates 1988

incidence

0.95

0.75 to 1.20

suppl. intake

both

Walter 2011

Thyroid

incidence

0.13

0.02 to 0.77

serum

both

Glattre 1989

0.15

0.0 to 5.0

men

0.12

0.01 to 1.11

women

1.35

0.99 to 1.84

intake

both

O'Grady 2014

1.23

0.71 to 2.12

men

1.14

1.65 to 2.02

women

n.r. = not reported.

Figuras y tablas -
Table 3. Results of observational studies not included in meta‐analysis
Comparison 1. Randomised controlled trials: highest versus lowest selenium exposure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Any cancer risk Show forest plot

5

Risk Ratio (IV, Random, 95% CI)

Subtotals only

1.1 Studies with low RoB

3

19475

Risk Ratio (IV, Random, 95% CI)

1.01 [0.93, 1.10]

1.2 All studies

5

21860

Risk Ratio (IV, Random, 95% CI)

0.99 [0.86, 1.14]

2 Cancer mortality Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

2.1 Studies with low RoB

1

17448

Risk Ratio (IV, Random, 95% CI)

1.02 [0.80, 1.30]

2.2 All studies

2

18698

Risk Ratio (IV, Random, 95% CI)

0.81 [0.49, 1.32]

3 Head and neck cancer risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

3.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.00 [0.18, 5.45]

3.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

1.22 [0.52, 2.85]

4 Oesophageal cancer risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

4.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.50 [0.06, 36.86]

4.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

0.53 [0.12, 2.28]

5 Colorectal cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

5.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

0.99 [0.69, 1.43]

5.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

0.74 [0.41, 1.33]

6 Liver cancer risk Show forest plot

4

Risk Ratio (IV, Random, 95% CI)

Subtotals only

6.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

6.52 [0.37, 115.49]

6.2 All studies

4

6326

Risk Ratio (IV, Random, 95% CI)

0.52 [0.35, 0.79]

7 Melanoma risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

7.1 Studies with low RoB

2

2027

Risk Ratio (IV, Random, 95% CI)

1.35 [0.41, 4.52]

7.2 All studies

3

3277

Risk Ratio (IV, Random, 95% CI)

1.28 [0.63, 2.59]

8 Non‐melanoma skin cancer risk Show forest plot

4

Risk Ratio (Random, 95% CI)

Subtotals only

8.1 Studies with low RoB

2

2027

Risk Ratio (Random, 95% CI)

1.16 [0.30, 4.42]

8.2 All studies

4

3461

Risk Ratio (Random, 95% CI)

1.23 [0.73, 2.08]

9 Lung cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

9.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

1.16 [0.89, 1.50]

9.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

1.03 [0.78, 1.37]

10 Breast cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

10.1 Studies with low RoB

1

802

Risk Ratio (IV, Random, 95% CI)

2.04 [0.44, 9.55]

10.2 All studies

3

2260

Risk Ratio (IV, Random, 95% CI)

1.44 [0.96, 2.17]

11 Bladder cancer risk Show forest plot

3

Risk Ratio (IV, Random, 95% CI)

Subtotals only

11.1 Studies with low RoB

2

19009

Risk Ratio (IV, Random, 95% CI)

1.07 [0.76, 1.52]

11.2 All studies

3

20259

Risk Ratio (IV, Random, 95% CI)

1.10 [0.79, 1.52]

12 Prostate cancer risk Show forest plot

5

Risk Ratio (IV, Random, 95% CI)

Subtotals only

12.1 Studies with low RoB

4

18942

Risk Ratio (IV, Random, 95% CI)

1.01 [0.90, 1.14]

12.2 All studies

5

19869

Risk Ratio (IV, Random, 95% CI)

0.91 [0.75, 1.12]

13 Leukaemia and lymphoma risk Show forest plot

2

Risk Ratio (IV, Random, 95% CI)

Subtotals only

13.1 Studies with low RoB

1

1561

Risk Ratio (IV, Random, 95% CI)

1.00 [0.25, 3.99]

13.2 All studies

2

2811

Risk Ratio (IV, Random, 95% CI)

1.21 [0.52, 2.80]

Figuras y tablas -
Comparison 1. Randomised controlled trials: highest versus lowest selenium exposure
Comparison 2. Observational studies: highest versus lowest selenium exposure

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Total cancer incidence and mortality Show forest plot

14

Odds Ratio (Random, 95% CI)

Subtotals only

1.1 Incidence

7

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

1.2 Mortality

7

Odds Ratio (Random, 95% CI)

0.76 [0.59, 0.97]

2 Total cancer incidence and mortality (men) Show forest plot

8

Odds Ratio (Random, 95% CI)

Subtotals only

2.1 Incidence

4

Odds Ratio (Random, 95% CI)

0.72 [0.46, 1.14]

2.2 Mortality

4

Odds Ratio (Random, 95% CI)

0.65 [0.45, 0.94]

3 Total cancer incidence and mortality (women) Show forest plot

6

Odds Ratio (Random, 95% CI)

Subtotals only

3.1 Incidence

2

Odds Ratio (Random, 95% CI)

0.90 [0.45, 1.77]

3.2 Mortality

4

Odds Ratio (Random, 95% CI)

0.91 [0.80, 1.03]

4 Total cancer incidence and mortality (ascending order of selenium levels) Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

4.1 Incidence

7

1642

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

4.2 Mortality

6

1230

Odds Ratio (Random, 95% CI)

0.63 [0.39, 1.01]

5 Total cancer incidence and mortality (ascending order of differences in selenium levels) Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

5.1 Incidence

7

190

Odds Ratio (Random, 95% CI)

0.72 [0.55, 0.93]

5.2 Mortality

6

106

Odds Ratio (Random, 95% CI)

0.63 [0.39, 1.01]

6 Stomach cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.66 [0.43, 1.01]

7 Stomach cancer risk (by sex) Show forest plot

5

Odds Ratio (Random, 95% CI)

0.66 [0.42, 1.04]

7.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.75 [0.41, 1.36]

7.2 Male

3

Odds Ratio (Random, 95% CI)

0.43 [0.14, 1.32]

7.3 Female

2

Odds Ratio (Random, 95% CI)

0.73 [0.12, 4.35]

8 Colorectal cancer risk Show forest plot

6

Odds Ratio (Random, 95% CI)

0.82 [0.72, 0.94]

9 Colorectal cancer risk (by sex) Show forest plot

6

Odds Ratio (Random, 95% CI)

0.83 [0.72, 0.95]

9.1 All (male + female)

1

Odds Ratio (Random, 95% CI)

0.80 [0.68, 0.94]

9.2 Male

4

Odds Ratio (Random, 95% CI)

0.86 [0.65, 1.16]

9.3 Female

4

Odds Ratio (Random, 95% CI)

0.96 [0.61, 1.50]

10 Colon cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.81 [0.69, 0.96]

11 Colon cancer risk (by sex) Show forest plot

5

Odds Ratio (Random, 95% CI)

0.81 [0.69, 0.96]

11.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.84 [0.68, 1.03]

11.2 Male

3

Odds Ratio (Random, 95% CI)

0.84 [0.56, 1.25]

11.3 Female

2

Odds Ratio (Random, 95% CI)

0.68 [0.44, 1.04]

12 Lung cancer incidence and mortality Show forest plot

13

Odds Ratio (Random, 95% CI)

Subtotals only

12.1 Incidence

11

Odds Ratio (Random, 95% CI)

0.82 [0.59, 1.14]

12.2 Mortality

2

Odds Ratio (Random, 95% CI)

1.34 [0.93, 1.93]

13 Lung cancer risk (sex‐disaggregated data) Show forest plot

13

Odds Ratio (Random, 95% CI)

0.89 [0.69, 1.14]

13.1 All (male + female)

5

Odds Ratio (Random, 95% CI)

0.74 [0.43, 1.28]

13.2 Male

7

Odds Ratio (Random, 95% CI)

0.98 [0.68, 1.39]

13.3 Female

4

Odds Ratio (Random, 95% CI)

0.83 [0.43, 1.61]

14 Lung cancer risk (by exposure assessment) Show forest plot

13

Odds Ratio (Random, 95% CI)

0.88 [0.65, 1.18]

14.1 Intake

2

Odds Ratio (Random, 95% CI)

1.32 [0.95, 1.84]

14.2 Serum or plasma

9

Odds Ratio (Random, 95% CI)

0.91 [0.70, 1.18]

14.3 Toenail

2

Odds Ratio (Random, 95% CI)

1.05 [0.11, 10.36]

15 Lung cancer risk (ascending order of selenium levels) Show forest plot

8

1938

Odds Ratio (Random, 95% CI)

0.97 [0.74, 1.27]

16 Lung cancer risk (ascending order of differences in selenium levels) Show forest plot

8

188

Odds Ratio (Random, 95% CI)

0.97 [0.74, 1.27]

17 Breast cancer risk (women) Show forest plot

8

Odds Ratio (Random, 95% CI)

1.09 [0.87, 1.37]

18 Bladder cancer risk Show forest plot

5

Odds Ratio (Random, 95% CI)

0.67 [0.46, 0.97]

18.1 All (male + female)

2

Odds Ratio (Random, 95% CI)

0.65 [0.46, 0.92]

18.2 Male

3

Odds Ratio (Random, 95% CI)

0.82 [0.41, 1.62]

18.3 Female

1

Odds Ratio (Random, 95% CI)

0.36 [0.14, 0.92]

19 Prostate cancer risk Show forest plot

21

Odds Ratio (Random, 95% CI)

0.84 [0.75, 0.95]

20 Prostate cancer risk (by exposure assessment) Show forest plot

21

Odds Ratio (Random, 95% CI)

0.84 [0.75, 0.95]

20.1 Intake and supplement

4

Odds Ratio (Random, 95% CI)

0.99 [0.85, 1.15]

20.2 Serum or plasma

13

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

20.3 Toenail

4

Odds Ratio (Random, 95% CI)

0.60 [0.44, 0.82]

21 Prostate cancer risk (ascending order of selenium levels) Show forest plot

13

2816

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

22 Prostate cancer risk (ascending order of differences in selenium levels) Show forest plot

13

345

Odds Ratio (Random, 95% CI)

0.86 [0.75, 0.99]

Figuras y tablas -
Comparison 2. Observational studies: highest versus lowest selenium exposure