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Hemodiafiltración, hemofiltración y hemodiálisis para la enfermedad renal terminal

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Referencias

Altieri 2004 {published data only}

Altieri P, Sorba G, Bolasco P, Ledebo I, Ganadu M, Ferrara R, et al. Comparison between hemofiltration and hemodiafiltration in a long‐term prospective cross‐over study. Journal of Nephrology 2004;17(3):414‐22. [MEDLINE: 15365963]

Bammens 2004 {published data only}

Bammens B, Evenepoel P, Claes K, Kuypers D, Maes B, Verbeke K, et al. Middle molecule and protein bound toxin removal by an FX‐class dialyser in haemodialysis and haemodiafiltration: a randomised cross‐over study [abstract]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):757. [CENTRAL: CN‐00444322]
Bammens B, Evenepoel P, Verbeke K, Vanrenterghem Y. Protein bound solutes: explaining the dissociation between urea‐reduction ratio and patient outcome? [abstract no: SU‐PO911]. Journal of the American Society of Nephrology 2003;14(Nov):736A. [CENTRAL: CN‐00644357]
Bammens B, Evenepoel P, Verbeke K, Vanrenterghem Y. Removal of protein bound solutes by convective transport: a randomized cross‐over study [abstract no: SU‐PO905]. Journal of the American Society of Nephrology 2003;14(Nov):734A. [CENTRAL: CN‐00644358]
Bammens B, Evenepoel P, Verbeke K, Vanrenterghem Y. Removal of the protein‐bound solute p‐cresol by convective transport: a randomized crossover study. American Journal of Kidney Diseases 2004;44(2):278‐85. [MEDLINE: 15264186]

Basile 2001 {published data only}

Basile C, Giordano R, Montanaro A. Effect of acetate‐free biofiltration (AFB) on renal anemia: a prospective cross‐over study [abstract]. Journal of the American Society of Nephrology 2001;12:352A.
Basile C, Giordano R, Montanaro A, De Maio PD, De Padova FD, Marangi AL, et al. Effect of acetate‐free biofiltration on the anaemia of haemodialysis patients: a prospective cross‐over study. Nephrology Dialysis Transplantation 2001;16(9):1914‐9. [MEDLINE: 11522879]
Basile C, Giordano R, Montanaro A, De Padova F, Marangi AL. Effect of acetate‐free biofiltration (AFB) on renal anemia: a prospective cross‐over study [abstract]. 38th Congress. European Renal Association. European Dialysis and Transplantation Association; 2001 Jun 24‐27; Vienna, Austria. 2001:206. [CENTRAL: CN‐00444349]

Beerenhout 2005 {published data only}

Beerenhout CH, Luik AJ, Jeuken‐Mertens SG, Bekers O, Menheere P, Hover L, et al. Pre‐dilution on‐line haemofiltration vs low‐flux haemodialysis: a randomized prospective study. Nephrology Dialysis Transplantation 2005;20(6):1155‐63. [MEDLINE: 15784639]
Kooman J, Beerenhout C, Luik A, van der Sande F, Leunissen K. Predilution on‐line hemofiltration versus hemodialysis: a randomised study [abstract no: SA‐PO458]. Journal of the American Society of Nephrology 2004;15(Oct):403A. [CENTRAL: CN‐00626039]
Meert N, Beerenhout C, De Smet R, Kooman J, Vanholder R. Removal of protein‐bound uremic solutes by predilution on‐line hemofiltration [abstract no: MP401]. Nephrology Dialysis Transplantation 2005;20(Suppl 5):v334.
Meert N, Beerenhout C, De Smet R, Kooman J, Vanholder R. Removal of protein‐bound uremic solutes by predilution on‐line hemofiltration [abstract no: SA‐PO285]. Journal of the American Society of Nephrology 2004;15(Oct):363A.

Bolasco 2003 {published and unpublished data}

Bolasco P, Altieri P, Andrulli S, Basile C, Di Filippo S, Feriani M, et al. Convection versus diffusion in dialysis: an Italian prospective multicentre study. Nephrology Dialysis Transplantation 2003;18 Suppl 7:vii50‐4. [MEDLINE: 12953031]
Locatelli F, Altieri P, Andrulli S, Bolasco P, Sau G, Pedrini LA, et al. Hemofiltration and hemodiafiltration reduce intradialytic hypotension in ESRD. Journal of the American Society of Nephrology 2010;21(10):1798‐807. [MEDLINE: 20813866]
Locatelli F, Altieri P, Andrulli S, Sau G, Bolasco P, Pedrini LA, et al. Phosphate levels in patients treated with low‐flux haemodialysis, pre‐dilution haemofiltration and haemodiafiltration: post hoc analysis of a multicentre, randomized and controlled trial. Nephrology Dialysis Transplantation 2014;29(6):1239‐46. [MEDLINE: 24557989]
Locatelli F, Altieri P, Andrulli S, Sau G, Bolasco P, Pedrini LA, et al. Predictors of haemoglobin levels and resistance to erythropoiesis‐stimulating agents in patients treated with low‐flux haemodialysis, haemofiltration and haemodiafiltration: results of a multicentre randomized and controlled trial. Nephrology Dialysis Transplantation 2012;27(9):3594‐600. [MEDLINE: 22622452]

Coll 2009 {published data only (unpublished sought but not used)}

Coll E, Perez‐Garcia R, Martin de Francisco AL, Galceran J, Garcia‐Osuna R, Martin‐Malo A, et al. Acetate‐free on‐line PHF: how to improve hyperacetatemia and haemodynamic tolerance [PHF on‐line sin acetato: como mejorar la hiperacetatemia y la tolerancia hemodinamica]. Nefrologia 2009;29(2):156‐62. [MEDLINE: 19396322]

CONTRAST (Dutch) Study 2005 {published and unpublished data}

Bots ML, Den Hoedt C, Pc Grooteman M, Van Der Weerd NC, Mazairac AH, Levesque R, et al. The effect of online hemodiafiltration on systemic inflammation in a randomized controlled trial: Results from the convective transport study (CONTRAST) [abstract]. Nephrology Dialysis Transplantation 2012;27(Suppl 2):ii206. [EMBASE: 70765903]
Gritters M, Schoorl M, Schoorl M, Bartels PC, Grooteman MP, Nube MJ, et al. Platelet activation is increased in hemodiafiltration (HDF): a subgroup analysis of the CONvective TRAnsport STudy (CONTRAST) [abstract no: F‐FC313]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):70A.
Gritters M, Vroling L, Grooteman MP, de Haas RR, Broxterman HJ, Nube MJ, et al. Hemodiafiltration (HDF) increases the number of circulating hematopoietic progenitor cells (HPC) and lowers numbers of circulating cells with endothelial markers: a subgroup analysis of CONTRAST (CONvective TRAnsport Study) [abstract no: F‐PO680]. Journal of the American Society of Nephrology 2007;18(Abstracts):249A.
Gritters‐van den Oever M, Grooteman MP, Bartels PC, Blankestijn PJ, Bots ML, van den Dorpel MA, et al. Post‐dilution haemodiafiltration and low‐flux haemodialysis have dissimilar effects on platelets: a side study of CONTRAST. Nephrology Dialysis Transplantation 2009;24(11):3461‐8. [MEDLINE: 19561150]
Grooteman MP, van den Dorpel MA, Bots ML, Penne EL, van der Weerd NC, Mazairac AH, et al. Effect of online hemodiafiltration on all‐cause mortality and cardiovascular outcomes. Journal of the American Society of Nephrology 2012;23(6):1087‐96. [MEDLINE: 22539829]
Grooteman MP, van den Dorpel MA, Bots ML, Penne EL, van der Weerd NC, Mazairac AH, et al. Online hemodiafiltration versus low‐flux hemodialysis: effects on all‐cause mortality and cardiovascular events in a randomized controlled trial. The Convective Transport Study (CONTRAST) [abstract]. NDT Plus 2011;4(Suppl 2):4.2S.1.
Mazairac AH, Blankestijn PJ, Grooteman MP, Penne EL, van der Weerd NC, den Hoedt CH, et al. The cost‐utility of haemodiafiltration versus haemodialysis in the Convective Transport Study. Nephrology Dialysis Transplantation 2013;28(7):1865‐73. [MEDLINE: 23766337]
Mazairac AH, Bots ML, de Wit GA, de Jong B, Boeschoten W, van der Weerd NC, et al. Improvement of health‐related quality of life (QoL) in hemodialysis (HD) patients over the past decade in the Netherlands [abstract no: TH‐PO811]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):293A.
Mazairac AH, Grooteman MP, Blankestijn PJ, Penne EL, van der Weerd NC, den Hoedt CH, et al. Differences in quality of life of hemodialysis patients between dialysis centers. Quality of Life Research 2012;21(2):299‐307. [MEDLINE: 21633878]
Mazairac AH, de Wit GA, Grooteman MP, Penne EL, van der Weerd NC, den Hoedt CH, et al. Clinical performance targets and quality of life in hemodialysis patients. Blood Purification 2012;33(1‐3):73‐9. [MEDLINE: 22212621]
Mazairac AH, de Wit GA, Grooteman MP, Penne EL, van der Weerd NC, den Hoedt CH, et al. Effect of hemodiafiltration on quality of life over time. Clinical Journal of the American Society of Nephrology: CJASN 2013;8(1):82‐9. [MEDLINE: 23124783]
Mazairac AH, de Wit GA, Grooteman MP, Penne EL, van der Weerd NC, van den Dorpel MA, et al. A composite score of protein‐energy nutritional status predicts mortality in haemodialysis patients no better than its individual components. Nephrology Dialysis Transplantation 2011;26(6):1962‐7. [MEDLINE: 20947533]
Mostovaya IM, Bots ML, van den Dorpel MA, Goldschmeding R, den Hoedt CH, Kamp O, et al. Left ventricular mass in dialysis patients, determinants and relation with outcome. Results from the COnvective TRansport STudy (CONTRAST). PLoS ONE [Electronic Resource] 2014;9(2):e84587. [MEDLINE: 24505249]
Mostovaya IM, Bots ML, van den Dorpel MA, Grooteman MP, Kamp O, Levesque R, et al. A randomized trial of hemodiafiltration and change in cardiovascular parameters. Clinical Journal of the American Society of Nephrology: CJASN 2014;9(3):520‐6. [MEDLINE: 24408114]
Penne EJ, Blankestijn PJ, Bots ML, van den Dorpel MA, Grooteman MP, Nube MJ, et al. New study evaluating online haemodiafiltration for the reduction of cardiovascular morbidity and mortality in patients undergoing chronic haemodialysis [Nieuw onderzoek naar online‐hemodiafiltratie voor de vermindering van cardiovasculaire morbiditeit en mortaliteit bij patienten die chronisch worden behandeld met hemodialyse]. Nederlands Tijdschrift voor Geneeskunde 2006;150(28):1583‐5. [MEDLINE: 16886698]
Penne EL, Blankestijn PJ, Bots ML, van den Dorpel MA, Grooteman MP, Nube MJ, et al. Effect of increased convective clearance by on‐line hemodiafiltration on all cause and cardiovascular mortality in chronic hemodialysis patients ‐ the Dutch CONvective TRAnsport STudy (CONTRAST): rationale and design of a randomised controlled trial [ISRCTN38365125]. Current Controlled Trials in Cardiovascular Medicine 2005;6(1):8. [MEDLINE: 15907201]
Penne EL, Blankestijn PJ, Bots ML, van den Dorpel MA, Grooteman MP, Nube MJ, et al. Effect of increased convective clearance by on‐line hemodiafiltration on all cause and cardiovascular mortality in chronic hemodialysis patients: design and rationale of the Dutch CONvective TRAnsport STudy (CONTRAST) [abstract no: SA‐PO471]. Journal of the American Society of Nephrology 2004;15(Oct):406A. [CENTRAL: CN‐00550574]
Penne EL, Blankestijn PJ, Bots ML, van den Dorpel MA, Grooteman MP, Nube MJ, et al. Resolving controversies regarding hemodiafiltration versus hemodialysis: the Dutch Convective Transport Study. Seminars in Dialysis 2005;18(1):47‐51. [MEDLINE: 15663765]
Penne EL, van der Weerd NC, Blankestijn PJ, van den Dorpel MA, Grooteman MP, Nube MJ, et al. Role of residual kidney function and convective volume on change in beta2‐microglobulin levels in hemodiafiltration patients. Clinical Journal of the American Society of Nephrology: CJASN 2010;5(1):80‐6. [MEDLINE: 19965537]
Penne EL, van der Weerd NC, Grooteman MP, Nube MJ, Bots ML, van den Dorpel MA, et al. Pronounced decrease of beta‐2 microglobulin by online hemodiafiltration in patients without residual renal function [abstract no: TH‐PO634]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):249A.
Penne EL, van der Weerd NC, van den Dorpel MA, Grooteman MP, Levesque R, Nube MJ, et al. Short‐term effects of online hemodiafiltration on phosphate control: a result from the randomized controlled Convective Transport Study (CONTRAST). American Journal of Kidney Diseases 2010;55(1):77‐87. [MEDLINE: 19962805]
Penne L, Blankestijn P, Bots M, Van den Dorpel R, Grooteman M, Nube M, et al. The CONvective TRAnsport STudy (CONTRAST) is designed to detect differences in mortality and cardiovascular disease between online hemodiafiltration and hemodialysis: preliminary findings on proof of principle [abstract no: SA‐PO811]. Journal of the American Society of Nephrology 2005;16:734A.
Penne L, Blankestijn P, Bots M, van den Dorpel MA, Grooteman M, Nube M, et al. Effect of increased convective clearance by on‐line hemodiafiltration on all cause and cardiovascular mortality in chronic dialysis patients: design and preliminary baseline characteristics of the CONvective TRAnsport STudy (CONTRAST) [abstract no: T‐PO40054]. Nephrology 2005;10(Suppl 1):A189. [CENTRAL: CN‐00601971]
Van der Weerd NC, Blankestijn PJ, Bots ML, van den Dorpel RA, Grooteman MP, Nube MJ, et al. Dose dependent decrease in beta‐2‐microglobulin levels in patients treated with online hemodiafiltration in the Dutch CONvective TRAnsport STudy (CONTRAST) [abstract no: S‐PO‐0130]. 4th World Congress of Nephrology.19th International Congress of the International Society of Nephrology (ISN); 2007 Apr 21‐25; Rio de Janeiro, Brazil. 2007:83.
den Hoedt CH, Bots ML, Grooteman MP, Mazairac AH, Penne EL, van der Weerd NC, et al. Should we still focus that much on cardiovascular mortality in end stage renal disease patients? The CONvective TRAnsport STudy. PLoS ONE [Electronic Resource] 2013;8(4):e61155. [MEDLINE: 23620729]
den Hoedt CH, Bots ML, Grooteman MP, van der Weerd NC, Penne EL, Mazairac AH, et al. Clinical predictors of decline in nutritional parameters over time in ESRD. Clinical Journal of the American Society of Nephrology: CJASN 2014;9(2):318‐25. [MEDLINE: 24458074]
van der Weerd N, Blankestijn P, Bots M, Van den Dorpel R, Grooteman M, Nube M, et al. Dose dependent decrease in beta‐2‐microglobulin (b2M) levels in patients treated with online hemodiafiltration (HDF) in the Dutch CONvective TRAnsport STudy (CONTRAST) [abstract no: F‐FC077]. Journal of the American Society of Nephrology 2006;17(Abstracts):53A. [CENTRAL: CN‐00601973]
van der Weerd N, Penne E, Blankestijn P, Bots M, Van den Dorpel R, Grooteman M, et al. No increase in erythropoietin (EPO) sensitivity despite increased middle molecular weight (MMV) clearance in patients treated with online hemodiafiltration (HDF) in the Dutch CONvective TRAnsport STudy (CONTRAST) [abstract no: F‐PO826]. Journal of the American Society of Nephrology 2007;18(Abstracts):283A.
van der Weerd N, Penne L, Blankestijn P, Bots M, van den Dorpel R, Grooteman M. Determinants of epoetin (EPO) sensitivity in patients treated with online hemodiafiltration (HDF) or conventional hemodialysis (HD) in the Dutch CONvective TRAnsport STudy (CONTRAST) [abstract no: TH‐PO722]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):270A.
van der Weerd N, Penne L, Grooteman M, Levesque R, Van den Dorpel R, Blankestijn P, et al. Resistance to erythropoiesis stimulating agents (ESA) in a randomized controlled trial (CONTRAST study) [abstract no: OSU052]. NDT Plus 2010;3(Suppl 3):iii296.
van der Weerd NC, Grooteman MP, Bots ML, van den Dorpel MA, den Hoedt CH, Mazairac AH, et al. Hepcidin‐25 in chronic hemodialysis patients is related to residual kidney function and not to treatment with erythropoiesis stimulating agents. PLoS ONE [Electronic Resource] 2012;7(7):e39783. [MEDLINE: 22808058]
van der Weerd NC, Grooteman MP, Bots ML, van den Dorpel MA, den Hoedt CH, Mazairac AH, et al. Hepcidin‐25 is related to cardiovascular events in chronic haemodialysis patients. Nephrology Dialysis Transplantation 2013;28(12):3062‐71. [MEDLINE: 23147161]
van der Weerd NC, den Hoedt CH, Blankestijn PJ, Bots ML, van den Dorpel MA, Levesque R, et al. Resistance to erythropoiesis stimulating agents in patients treated with online hemodiafiltration and ultrapure low‐flux hemodialysis: results from a randomized controlled trial (CONTRAST). PLoS ONE [Electronic Resource] 2014;9(4):e94434. [MEDLINE: 24743493]

Cristofano 2004 {published and unpublished data}

Cristofano C, Vernaglione L, Perniola MA, Lo Barco C, Muscogiuri P, Chimienti S. Cystatin C, beta2microglobulin (B2MCG) and C reactive protein (CRP) in two separate chambers hemodiafiltration and online endogenous liquid reinfusion (HFR) and in low flux polysulphone bicarbonate conventional hemodialysis (LFHD) [abstract]. 41st Congress. European Renal Association. European Dialysis and Transplantation Association; 2004 May 15‐18; Lisbon, Portugal. 2004:371. [CENTRAL: CN‐00550765]
Vernaglione L, Cristofano C, Chimienti S. Cystatin C (CYS), b2‐microglobulin (MIC) and C‐reactive protein (CRP) behaviours during hemodiafiltration with online endogenous liquid reinfusion (HFR) and low‐flux polysulphone bicarbonate dialysis (BD) [abstract no: SA‐PO702]. Journal of the American Society of Nephrology 2006;17(Abstracts):722A. [CENTRAL: CN‐00644356]

Ding 2002 {published data only}

Ding F, Ahrenholz P, Winkler RE, Ramlow W, Tiess M, Michelsen A. On‐line hemodiafiltration versus acetate‐free biofiltration: a prospective cross‐over study [abstract]. 38th Congress. European Renal Association. European Dialysis and Transplantation Association; 2001 Jun 24‐27; Vienna, Austria. 2001:284. [CENTRAL: CN‐00460648]
Ding F, Ahrenholz P, Winkler RE, Ramlow W, Tiess M, Michelsen A, et al. Online hemodiafiltration versus acetate‐free biofiltration: A prospective crossover study. Artificial Organs 2002;26(2):169‐80. [MEDLINE: 11879247]

Eiselt 2000 {published data only}

Eiselt J, Racek J, Opatrny K. The effect of hemodialysis and acetate‐free biofiltration on anemia. International Journal of Artificial Organs 2000;23(3):173‐80. [MEDLINE: 10795662]

ESHOL Study 2011 {published data only (unpublished sought but not used)}

Maduell F, Moreso F, Pons M, Ramos R, Mora‐Macia J, Carreras J, et al. High‐efficiency postdilution online hemodiafiltration reduces all‐cause mortality in hemodialysis patients. Journal of the American Society of Nephrology 2013;24(3):487‐97. [MEDLINE: 23411788]
Maduell F, Moreso F, Pons M, Ramos R, Mora‐Macia J, Foraster A, et al. Design and patient characteristics of ESHOL study, a Catalonian prospective randomized study. Journal of Nephrology 2011;24(2):196‐202. [MEDLINE: 20602331]

Fox 1993 {published data only}

Fox SD, Henderson LW. Cardiovascular response during hemodialysis and hemofiltration: thermal, membrane and catecholamine influences. Blood Purification 1993;11(4):224‐36. [MEDLINE: 8297564]

Kantartzi 2013 {published data only}

Kantartzi K, Panagoutsos S, Mourvati E, Roumeliotis A, Leivaditis K, Devetzis V, et al. Can dialysis modality influence quality of life in chronic hemodialysis patients? low‐flux hemodialysis versus high‐flux hemodiafiltration: a cross‐over study. Renal Failure 2013;35(2):216‐21. [MEDLINE: 23176401]

Karamperis 2005 {published data only}

Jensen D, Karamperis N, Jensen JD. Hemodynamic stability during pre‐HDF and lowflux HD at temperature controlled conditions using high calcium‐ion dialysis and replacement fluid. A blinded randomized controlled study [abstract no: SU‐PO275]. Journal of the American Society of Nephrology 2004;15(Oct):593A‐4A. [CENTRAL: CN‐00583242]
Jensen JD, Karamperis N, Sloth E. Hemodynamic stability in predilution hemodiafiltration (HDF) compared with lowflux hemodialysis (HD) at temperature controlled conditions ‐ a blind randomized controlled trial [abstract]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):192‐3. [CN‐00445915]
Karamperis N, Jensen D, Sloth E, Jensen JD. Comparison of predilution hemodiafiltration and low‐flux hemodialysis at temperature‐controlled conditions using high calcium‐ion concentration in the replacement and dialysis fluid. Clinical Nephrology 2007;67(4):230‐9. [MEDLINE: 17474559]
Karamperis N, Sloth E, Jensen JD. Predilution hemodiafiltration displays no hemodynamic advantage over low‐flux hemodialysis under matched conditions. Kidney International 2005;67(4):1601‐8. [MEDLINE: 15780117]

Lin 2001 {published data only}

Lin CL, Huang CC, Chang CT, Wu MS, Hong JJ, Chien CC, et al. Clinical improvement by increased frequency of on‐line hemodialfiltration [abstract]. 8th Asian Pacific Congress of Nephrology; 2000 Mar 26‐30; Taipei, Taiwan. 2000:194. [CENTRAL: CN‐00461180]
Lin CL, Huang CC, Chang CT, Wu MS, Hung CC, Chien CC, et al. Clinical improvement by increased frequency of on‐line hemodialfiltration. Renal Failure 2001;23(2):193‐206. [MEDLINE: 11417951]
Lin CL, Yang CW, Chiang CC, Chang CT, Huang CC. Long‐term on‐line hemodiafiltration reduces predialysis beta‐2‐microglobulin levels in chronic hemodialysis patients. Blood Purification 2001;193(3):301‐7. [MEDLINE: 11244190]
Lin CL, Yang CW, Chiang CC, Chang CT, Huang CC. On‐line hemodiafiltration reduces pre‐dialysis b2‐microglobulin levels in chronic hemodialysis patients [abstract]. 8th Asian Pacific Congress of Nephrology; 2000 Mar 26‐30; Taipei, Taiwan. 2000:313. [CENTRAL: CN‐00461181]

Locatelli 1994 {published data only}

Locatelli F, Italian Cooperative Dialysis Study Group. Effect of hemodialysis membranes on serum albumin. American Journal of Kidney Diseases 2001;37(2):455‐6. [MEDLINE: 11157397]
Locatelli F, Mastrangelo F, Redaelli B, Ronco C, Marcelli D, La Greca G, et al. Effects of different membranes and dialysis technologies on patient treatment tolerance and nutritional parameters. The Italian Cooperative Dialysis Study Group. Kidney International 1996;50(4):1293‐302. [MEDLINE: 8887291]
Locatelli F, Mastrangelo F, Redaelli B, Ronco C, Marcelli D, La Greca G, et al. The effects of different membranes and dialysis technologies on the treatment tolerance and nutritional parameters of hemodialysis patients [abstract no: A1031]. Journal of the American Society of Nephrology 1996;7(9):1454. [CENTRAL: CN‐00583453]
Locatelli F, Mastrangelo F, Redaelli B, Ronco C, Marcelli D, Orlandini G. The effects of different membranes and dialysis technologies on the treatment tolerance and nutritional parameters of hemodialysed patients. Design of a prospective randomised multicentre trial. Journal of Nephrology 1994;7(2):123‐9. [EMBASE: 1994156257]

Lornoy 1998 {published data only (unpublished sought but not used)}

Lornoy W, Becaus I, Billiouw JM, Sierens L, Van Malderen P, D'Haenens P. On‐line haemodiafiltration. Remarkable removal of beta2‐microglobulin. Long‐term clinical observations. Nephrology Dialysis Transplantation 2000;15 Suppl 1:49‐54. [MEDLINE: 10737167]
Lornoy W, Becaus I, Billiouw JM, Sierens L, Van Malderen P, Vrouwziekenhuis OL. Remarkable removal of b2‐microglobulin, but not of small molecules by on‐line hemodiafiltration (HDF). Nephrology Dialysis Transplantation 1997;12(3):631. [CENTRAL: CN‐00626022]
Lornoy W, Becaus I, Billiouw JM, Sierens L, Vrouwziekenhuis OL. Remarkable removal of b2‐microglobulin, but not of small molecules by on‐line hemodiafiltration (HDF) [abstract]. Journal of the American Society of Nephrology 1995;6(3):546. [CENTRAL: CN‐00484892]
Lornoy W, Becaus I, Billiouw JM, Sierens L, van Malderen P. Remarkable removal of beta‐2‐microglobulin by on‐line hemodiafiltration. American Journal of Nephrology 1998;18(2):105‐8. [MEDLINE: 9569951]

Mandolfo 2008 {published and unpublished data}

Mandolfo S, Borlandelli S, Imbasciati E, Badalamenti S, Graziani G, Sereni L, et al. Pilot study to assess increased dialysis efficiency in patients with limited blood flow rates due to vascular access problems. Hemodialysis International 2008;12(1):55‐61. [MEDLINE: 18271842]

Meert 2009 {published data only}

Meert N, Dhondt A, Eloot S, Vanholder R. Effective removal of uremic solutes by different convective strategies: a prospective cross‐over trial [abstract no: F‐PO672]. Journal of the American Society of Nephrology 2007;18(Abstracts):247A‐8A.
Meert N, Eloot S, Waterloos MA, Van Landschoot M, Dhondt A, Glorieux G, et al. Effective removal of protein‐bound uraemic solutes by different convective strategies: a prospective trial. Nephrology Dialysis Transplantation 2009;24(2):562‐70. [MEDLINE: 18809977]

Movilli 1996 {published data only}

Movilli E, Camerini C, Zein H, D'Avolio G, Sandrini M, Strada A, et al. A prospective comparison of bicarbonate dialysis, hemodiafiltration, and acetate‐free biofiltration in the elderly. American Journal of Kidney Diseases 1996;27(4):541‐7. [MEDLINE: 8678065]

Noris 1998 {published data only}

Noris M, Todeschini M, Casiraghi F, Minetti L, Imberti B, Cereda C, et al. Effect of acetate (AHD), bicarbonate (BHD) dialysis and acetate free biofiltration (AFB) on nitric oxide synthesis: implications for dialysis hypotension [abstract]. Journal of the American Society of Nephrology 1996;7(9):1493. [CENTRAL: CN‐00446974]
Noris M, Todeschini M, Casiraghi F, Roccatello D, Martina G, Minetti L, et al. Effect of acetate, bicarbonate dialysis and acetate free biofiltration on nitric oxide synthesis: implications for dialysis hypotension. American Journal of Kidney Diseases 1998;32(1):115‐24. [MEDLINE: 9669432]

Ohtake 2012 {published data only}

Ohtake T, Oka M, Ishioka K, Honda K, Mochida Y, Maesato K, et al. Cardiovascular protective effects of on‐line hemodiafiltration: comparison with conventional hemodialysis. Therapeutic Apheresis & Dialysis 2012;16(2):181‐8. [MEDLINE: 22458399]

Pedrini 2011a {published data only (unpublished sought but not used)}

Casino F, Pedrini LA, Lopez T, De Cristofaro V, Conte F. Comparing dialysis dose in haemodialysis and online haemodiafiltration. A multicentre randomized cross‐over study [abstract no: SP701]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv251.
De Cristofaro V, Pedrini LA, Casino F, Campolo A, Borzumati M, Prencipe MA, et al. High efficiency on‐line haemodiafiltration improves control of secondary hyperparathyroidism. A multicentre randomized cross‐over study [abstract no: SP699]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv251.
Pedrini LA, De Cristofaro V, Casino F, Conte F, Borzumati M, Campolo A, et al. Effects of online haemodiafiltration on cardiovascular risk factors. A multicentre randomized cross‐over study [abstract no: MP335]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv411.
Pedrini LA, De Cristofaro V, Comelli M, Casino FG, Prencipe M, Baroni A, et al. Long‐term effects of high‐efficiency on‐line haemodiafiltration on uraemic toxicity. A multicentre prospective randomized study. Nephrology Dialysis Transplantation 2011;26(8):2617‐24. [MEDLINE: 21245130]

PROFIL Study 2011 {published data only (unpublished sought but not used)}

Alvestrand A, Gutierrez A, Hagerman I, Ledebo I, Mattsson E, Dam Jensen J, et al. Hemofiltration delays deterioration of left ventricular hypertrophy in incident dialysis patients. Initial report from PROFIL, a prospective randomized study comparing hemofiltration with hemodialysis [abstract no: SAP302]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi333. [CENTRAL: CN‐00653728]
Alvestrand A, Ledebo I, Hagerman I, Wingren K, Mattsson E, Qureshi AR, et al. Left ventricular hypertrophy in incident dialysis patients randomized to treatment with hemofiltration or hemodialysis: results from the ProFil study. Blood Purification 2011;32(1):21‐9. [MEDLINE: 21252503]
Gutierrez A, Alvestrand A, Ledebo I, Dam Jensen J, Wingren K, the PROFIL Study Group. Hemofiltration is adequate at low Kt/V. Initial report from PROFIL, a prospective, randomized study comparing hemofiltration with hemodialysis [abstract no: FP340]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi132.

Righetti 2010 {published data only (unpublished sought but not used)}

Righetti M, Filiberti O, Ranghino A, Ferrario G, Milani S, Serbelloni P, et al. Internal hemodiafiltration versus low‐flux bicarbonate dialysis: Results from a long‐term prospective study. International Journal of Artificial Organs 2010;33(11):796‐802. [MEDLINE: 21140355]
Righetti M, Filiberti O, Ranghino A, Ferrario G, Servelloni P, Milani S, et al. Internal haemodiafiltration improves many cardiovascular risk factors: results from a long‐term multicenter prospective trial [abstract no: SU375]. World Congress of Nephrology; 2009 May 22‐26; Milan, Italy. 2009.

Santoro 1999 {published and unpublished data}

Poli A, Tessitore N, Panzetta O, Mantovani W, Esteban J, London G, et al. Acetate‐free biofiltration (AFB) and cardiovascular case‐fatality rate (CFR) in incident hemodialysis patients (pts) [abstract no: SU‐PO562]. Journal of the American Society of Nephrology 2007;18(Abstracts Issue):706A.
Santoro A, Panzetta G, Tessitore N, Atti M, Mancini E, Esteban J, et al. A prospective randomised European multicentre study of medium‐long run mortality and morbidity comparing acetate‐free biofiltration and bicarbonate dialysis. Journal of Nephrology 1999;12(6):375‐82. [MEDLINE: 10626827]
Santoro A, Panzetta O, Tessitore N, Wizemann V, Perez R, London G, et al. Cardiovascular effects of acetate‐free biofiltration (AFB) and conventional bicarbonate dialysis (BD) in chronic dialysis (CD) patients: a controlled randomized European multicenter study [abstract no: FP360]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi139.
Santoro A, Panzetta O, Tessitore N, Wizemann V, Perez R, Neumann K, et al. A European multicentre RCT on cardiovascular effects of acetate‐free biofiltration (AFB) and conventional bicarbonate dialysis (BD) in chronic dialysis (CD) patients [abstract no: SU‐FC051]. Journal of the American Society of Nephrology 2007;18(Abstracts):78A.
Santoro A, Tessitore N, Panzetta O, Wizemann V, Neumann K, London G, et al. A Controlled Randomized European Multicenter Study (CREMS) on mortality in chronic dialysis (CD) patients: a comparison between acetate‐free biofiltration (AFB) and conventional bicarbonate dialysis (BD) [abstract no: FO033]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi15.
Santoro A, Tessitore N, Wizemann V, Panzetta O, Perez R, Ara JM, et al. Comparison between acetate‐free biofiltration (AFB) and bicarbonate dialysis (BD) on mortality in chronic dialysis (CD) patients: a Controlled Randomized European Multicenter Study (CREMS) [abstract no: 767]. Journal of the American Society of Nephrology 2007;18(Abstracts Issue):511A‐2A.
Tessitore N, Santoro A, Panzetta GO, Wizemann V, Perez‐Garcia R, Martinez AJ, et al. Acetate‐free biofiltration reduces intradialytic hypotension: a European multicenter randomized controlled trial. Blood Purification 2012;34(3‐4):354‐63. [MEDLINE: 23406818]

Santoro 2005a {published and unpublished data}

Santoro A, Mancini E, Bibiano L, Specchio A, Francioso A, Robaudo C, et al. Online convective therapies: results from a hemofiltration trial. Contributions to Nephrology 2005;149:51‐7. [MEDLINE: 15876828]
Santoro A, Mancini E, Bolzani R, Boggi R, Cagnoli L, Francioso A, et al. The effect of on‐line high‐flux hemofiltration versus low‐flux hemodialysis on mortality in chronic kidney failure: a small randomized controlled trial. American Journal of Kidney Diseases 2008;52(3):507‐18. [MEDLINE: 18617304]
Santoro A, Mancini E, MAMHEBI Study Group. Effects of online hemofiltration (OL‐HF) versus bicarbonate dialysis (BD) on mortality and morbidity in hemodialysis (HD) patients: a prospective, randomized, multicenter trial (MAMHEBI Study) [abstract no: TH‐FC106]. Journal of the American Society of Nephrology 2006;17(Abstracts):24A. [CENTRAL: CN‐00653816]

Schiffl 1992 {published data only}

Schiffl H, D'Agostini B, Held E. Removal of beta‐2 microglobulin by hemodialysis and hemofiltration: a four year follow‐up. Biomaterials, Artificial Cells, & Immobilization Biotechnology 1992;20(5):1223‐32. [MEDLINE: 1457695]

Schiffl 2007 {published data only}

Schiffl H. Prospective randomized cross‐over long‐term comparison of online haemodiafiltration and ultrapure high‐flux haemodialysis. European Journal of Medical Research 2007;12(1):26‐33. [MEDLINE: 17363355]

Schrander vd Meer 1998 {published data only}

Schrander‐Van der Meer AM, Wee PM, Donker AJ, Dorp WT, Gasthuis K. Improved dialysis efficiency during acetate free biofiltration (AFB) [abstract no: A0858]. Journal of the American Society of Nephrology 1996;7(9):1419. [CENTRAL: CN‐00583169]
Schrander‐vd Meer AM, ter Wee PM, Donker AJ, van Dorp WT. Dialysis efficacy during acetate‐free biofiltration. Nephrology Dialysis Transplantation 1998;13(2):370‐4. [MEDLINE: 9509448]
Schrander‐vd Meer AM, ter Wee PM, Donker AJ, van Dorp WT. Improved dialysis efficiency during acetate free biofiltration [abstract]. Nephrology 1997;3(Suppl 1):S538. [CENTRAL: CN‐00461692]
Schrander‐vd Meer AM, ter Wee PM, Kan G, Donker AJ, van Dorp WT. Cardiovascular effects of acetate free biofiltration [abstract]. Journal of the American Society of Nephrology 1997;8(Program & Abstracts):172A. [CENTRAL: CN‐00447637]
Schrander‐vd Meer AM, ter Wee PM, Kan G, Donker AJ, van Dorp WT. Improved cardiovascular variables during acetate free biofiltration. Clinical Nephrology 1999;51(5):304‐9. [MEDLINE: 10363631]

Selby 2006a {published data only (unpublished sought but not used)}

Selby NM, Fluck RJ, Taal MW, McIntyre CW. Acetate‐free double chamber haemodiafiltration (PHF) is associated with improved systemic haemodynamics and lower troponin‐T levels as compared with standard dialysis [abstract no: SP298]. Nephrology Dialysis Transplantation 2005;20(Suppl 5):v119.
Selby NM, Fluck RJ, Taal MW, McIntyre CW. Effects of acetate‐free double‐chamber hemodiafiltration and standard dialysis on systemic hemodynamics and troponin T levels. ASAIO Journal 2006;52(1):62‐9. [MEDLINE: 16436892]

Stefansson 2012 {published and unpublished data}

Stefansson BV, Abramson M, Nilsson U, Haraldsson B. Hemodiafiltration improves plasma 25‐hepcidin levels: a prospective, randomized, blinded, cross‐over study comparing hemodialysis and hemodiafiltration. Nephron Extra 2012;2(1):55‐65. [MEDLINE: 22619668]
Stefansson BV, Haraldsson B. A prospective, double blinded, randomized, cross‐over study comparing hemodialysis and hemodiafiltration regarding dialysis complications, quality of life and non‐traditional cardiovascular risk factors [abstract no: TH‐PO626]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):248A.

Teo 1987 {published data only}

Teo KK, Basile C, Ulan RA, Hetherington MD, Kappagoda T. Effects of hemodialysis and hypertonic hemodiafiltration on cardiac function compared. Kidney International 1987;32(3):399‐407. [EMBASE: 1987215388]

Todeschini 2002 {published data only}

Todeschini M, Macconi D, Fernandez NG, Ghilardi M, Anabaya A, Binda E, et al. Effect of acetate‐free biofiltration and bicarbonate hemodialysis on neutrophil activation. American Journal of Kidney Diseases 2002;40(4):783‐93. [MEDLINE: 12324914]

Tuccillo 2002 {published data only}

Tuccillo S, Bellizzi V, Catapano F, Di Iorio B, Esposito L, Giannattasio P, et al. Acute and chronic effects of standard hemodialysis and soft hemodiafiltration on interdialytic serum phosphate levels [Effetti acuti e cronici della emodialisi standard e dell'emodiafiltrazione‐soft sui livelli interdialitici della fosforemia]. Giornale Italiano di Nefrologia 2002;19(4):439‐45. [MEDLINE: 12369047]

TURKISH HDF 2013 {published and unpublished data}

Keller DM. Hemodiafiltration, hemodialysis show similar survival rates. 2011. http://www.medscape.com/viewarticle/746131 (accessed 26 March 2015).
Ok E, Asci G, Ok ES, Kircelli F, Yilmaz M, Demirci MS, et al. Comparison of post dilution on‐line hemodiafiltration and hemodialysis (Turkish HDF study) [abstract]. NDT Plus 2011;4(Suppl 2):4.2S.1.
Ok E, Asci G, Toz H, Ok ES, Kircelli F, Yilmaz M, et al. Mortality and cardiovascular events in online haemodiafiltration (OL‐HDF) compared with high‐flux dialysis: results from the Turkish OL‐HDF Study. Nephrology Dialysis Transplantation 2013;28(1):192‐202. [MEDLINE: 23229932]

Vaslaki 2006 {published data only (unpublished sought but not used)}

Vaslaki L, Berta K, Ladanyi E, Pethoe F, Karatson A, Misz M, et al. Less need for erythropoietin in on‐line haemodiafiltration compared to haemodialysis [abstract no: MP406]. Nephrology Dialysis Transplantation 2005;20(Suppl 5):v336.
Vaslaki L, Major L, Berta K, Karatson A, Misz M, Pethoe F, et al. On‐line haemodiafiltration versus haemodialysis: stable haematocrit with less erythropoietin and improvement of other relevant blood parameters. Blood Purification 2006;24(2):163‐73. [MEDLINE: 16352871]

Verzetti 1998 {published data only}

Verzetti G, Navino C, Bolzani R, Galli G, Panzetta G. Acetate‐free biofiltration versus bicarbonate haemodialysis in the treatment of patients with diabetic nephropathy: a cross‐over multicentric study. Nephrology Dialysis Transplantation 1998;13(4):955‐61. [MEDLINE: 9568857]
Verzetti G, Navino C, Panzetta G, Galli G, Ortensia A, Odone P, et al. Multicentric trial on acetate‐free biofiltration (AFB) and diabetes [abstract]. Nephrology Dialysis Transplantation 1995;10(6):1031. [CENTRAL: CN‐00261128]

Ward 2000 {published data only}

Ward RA, Schmidt B, Hillebrand GF, Samtleben W. On‐line hemodiafiltration (HDF) provides better solute removal than high‐flux hemodialysis (hfHD) [abstract]. Journal of the American Society of Nephrology 1998;9(Program & Abstracts):186A. [CENTRAL: CN‐00448283]
Ward RA, Schmidt B, Hullin J, Hillebrand GF, Samtleben W. A comparison of on‐line hemodiafiltration and high‐flux hemodialysis: a prospective clinical study. Journal of the American Society of Nephrology 2000;11(12):2344‐50. [MEDLINE: 11095657]

Wizemann 2000 {published data only}

Wizemann V, Lotz C, Techert F, Uthoff S. On‐line haemodiafiltration versus low‐flux haemodialysis. A prospective randomized study. Nephrology Dialysis Transplantation 2000;15 Suppl 1:43‐8. [MEDLINE: 10737166]

Adam 1996 {published data only}

Adam S, Gretz N, Hafner G, Ragaller M, Abreu M, Bender HJ. Influence of haemofiltration, ‐diafiltration and ‐dialysis on the elimination of urophanic substances under continuous renal‐replacement‐therapy with high‐reflux‐membranes [abstract]. Wiener Klinische Wochenschrift 1996;108(Suppl 1):28. [CENTRAL: CN‐00251993]

Ahrenholz 1997 {published data only}

Ahrenholz P, Winkler RE, et al. On‐line hemodiafiltration with pre‐ and post‐dilution: a comparison of efficacy and compatibility [abstract]. Nephrology Dialysis Transplantation 1997;12(9):A125. [CENTRAL: CN‐00261396]

Ahrenholz 1998 {published data only}

Ahrenholz P, Winkler RE, Ramlow W, Tiess M, Thews O. On‐line hemodiafiltration with pre‐ and postdilution: impact on the acid‐base status. International Journal of Artificial Organs 1998;21(6):321‐7. [MEDLINE: 9714025]

Ahrenholz 2004 {published data only}

Ahrenholz PG, Winkler RE, Michelsen A, Lang DA, Bowry SK. Dialysis membrane‐dependent removal of middle molecules during hemodiafiltration: the beta2‐microglobulin/albumin relationship. Clinical Nephrology 2004;62(1):21‐8. [MEDLINE: 15267009]

Altieri 1997 {published data only}

Altieri P, Sorba GB, Bolasco PG, Bostrom M, Asproni E, Ferrara R, et al. On‐line predilution hemofiltration versus ultrapure high‐flux hemodialysis: a multicenter prospective study in 23 patients. Sardinian Collaborative Study Group of On‐Line Hemofiltration. Blood Purification 1997;15(3):169‐81. [MEDLINE: 9262843]

Altieri 1999 {published data only}

Altieri P, Sorba GB, Bolasco PG, Ledebo I, Asproni E, Ferrara R, et al. Predilution hemofiltration vs hemodialysis. Results from prospective crossover multicenter study [abstract]. Nephrology Dialysis Transplantation 1999;14(9):A224. [CENTRAL: CN‐00520313]

Altieri 2000 {published data only}

Altieri P, Sorba G, Bolasco P, Asproni E, Ledebo I, Bostrom M, et al. Pre‐dilution haemofiltration‐‐the Sardinian multicentre studies: Present and future. The Sardinian Collaborative Study Group on Haemofiltration On‐Line. Nephrology Dialysis Transplantation 2000;15 Suppl 2:55‐9. [MEDLINE: 11051039]

Altieri 2001 {published data only}

Altieri P, Sorba G, Bolasco P, Asproni E, Ledebo I, Cossu M, et al. Predilution haemofiltration‐‐the Second Sardinian Multicentre Study: comparisons between haemofiltration and haemodialysis during identical Kt/V and session times in a long‐term cross‐over study. Nephrology Dialysis Transplantation 2001;16(6):1207‐13. [MEDLINE: 11390722]

Baldamus 1980 {published data only}

Baldamus CA, Knobloch M, Schoeppe, Koch KM. Hemodialysis/hemofiltration: a report of a controlled cross‐over study. International Journal of Artificial Organs 1980;3(4):211‐4. [MEDLINE: 6997218]

Baldamus 1982 {published data only}

Baldamus CA, Ernst W, Frei U, Koch KM. Sympathetic and hemodynamic response to volume removal during different forms of renal replacement therapy. Nephron 1982;31(4):324‐32. [MEDLINE: 7177269]

Baldamus 1985 {published data only}

Baldamus CA, Quellhorst E. Outcome of long‐term hemofiltration. Kidney International ‐ Supplement 1987;17:S41‐6. [MEDLINE: 3912587]

Baragett 2003 {published data only}

Baragett I, Bamonti F, Patrosso C, Corghi E, Furiani S, D'Aloja G, et al. Effect of acetate free biofiltration on hyperhomocysteinemia in uremic patients: A cross‐sectional multicenter study. International Journal of Artificial Organs 2003;26(3):256‐8. [MEDLINE: 12703894]

Basile 1985 {published data only}

Basile C, Di Maggio A, Scatizzi A. Acid‐base imbalance correction and dialysis hypoxemia in hypertonic hemodiafiltration (HHDF) [abstract]. Kidney International 1985;28(2):364. [CENTRAL: CN‐00550391]

Basile 1985a {published data only}

Basile C, Di Maggio A, Scatizzi A. Small and middle molecules removal in hypertonic hemodiafiltration [abstract]. Kidney International 1985;28(2):364. [CENTRAL: CN‐00550396]

Basile 1987 {published data only}

Basile C, Miller JD, Koles ZJ, Grace M, Ulan RA. The effects of dialysis on brain water and EEG in stable chronic uremia. American Journal of Kidney Diseases 1987;9(6):462‐9. [MEDLINE: 3591793]

Basile 1988 {published data only}

Basile C, Di Maggio A, Ulan RA, Scatizzi A. Hypertonic hemodiafiltration: a preliminary report on a cross‐over study. Kidney International ‐ Supplement 1988;24:S132‐4. [MEDLINE: 3163033]

Bazzatto 1988 {published data only}

Bazzato G, Coli U, Landini S, Fracasso A, Righetto F, Scanferla F, et al. Removal of phosphate either by bicarbonate dialysis or biofiltration in uremics. Kidney International ‐ Supplement 1988;24:S180‐3. [MEDLINE: 3163046]

Beerenhout 2002 {published data only}

Beerenhout CH, Kooman JP, Luik AJ, Jeuken‐Mertens SG, Van Der Sande FM, Leunissen KM. Optimizing renal replacement therapy‐‐a case for online filtration therapies?. Nephrology Dialysis Transplantation 2002;17(12):2065‐70. [MEDLINE: 12454212]

Bolasco 2000 {published data only}

Bolasco P, Altieri P, Sorba G, Cabiddu G, Ferrara R, Serra G, et al. Adequacy in pre‐dilution haemofiltration: Kt/V or infusion volume? The Sardinian Collaborative Study Group on Haemofiltration On‐line. Nephrology Dialysis Transplantation 2000;15 Suppl 2:60‐4. [MEDLINE: 11051040]

Bonaudo 1998 {published data only}

Bonaudo R, Pacitti A, Amore A, Gianoglio B, Perugin L, Goldoni M, et al. Hemofiltration without heparin [abstract]. Journal of the American Society of Nephrology 1998;9(Program & Abstracts):167A. [CENTRAL: CN‐00444479]

Bonomini 2004 {published data only}

Bonomini M, Ballone E, Di Stante S, Bucciarelli T, Dottori S, Arduini A, et al. Removal of uraemic plasma factor(s) using different dialysis modalities reduces phosphatidylserine exposure in red blood cells. Nephrology Dialysis Transplantation 2004;19(1):68‐74. [MEDLINE: 14671041]

Bordin 2002 {published data only}

Bordin V, Catalano C, Berto A, Silvestrin G, Di Landro D, Fabbian F. Determining the prescription for online predilution hemofiltration: Our experience and a review of the literature. Dialysis & Transplantation 2002;31(6):375‐9. [EMBASE: 2002191148]

Bosc 1997 {published data only}

Bosc JY, LeBlanc M, et al. Comparison between high flux cellulose triacetate and high flux polysulfone: a clinical study in hemodialysis and hemodiafiltration [abstract]. Nephrology Dialysis Transplantation 1997;12(9):A150. [CENTRAL: CN‐00261407]

Bosc 1998 {published data only}

Bosc JY, LeBlanc M, Garred LJ, Marc JM, Foret M, Babinet F, et al. Direct determination of blood recirculation rate in hemodialysis by a conductivity method. ASAIO Journal 1998;44(1):68‐73. [MEDLINE: 9466504]

Boscticardo 1981 {published data only}

Bosticardo GM, Triolo G, Basolo B, Belardi P, Bossi P, Aprato A, et al. Hemofiltration: present and future [Emofiltrazione: presente e futuro]. Archivio Per Le Scienze Mediche 1981;138(1):1‐10. [MEDLINE: 7247698]

Brink 1995 {published data only}

Brink HS, Friemann AT, Huisman RM, de Jong PE. Acetate free biofiltration versus haemodiafiltration: a prospective cross‐over trial [abstract]. Nephrology Dialysis Transplantation 1995;10(4):572. [CENTRAL: CN‐00444541]

Calo 2007 {published data only}

Calo L, Naso A, Carraro G, Wratten ML, Pagnin E, Bertipaglia L, et al. Effect of hemodiafiltration with on‐line regeneration of ultrafiltrate (HFR) on oxidative stress in dialysis patients [abstract no: SP679]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv244.
Calo LA, Naso A, Carraro G, Wratten ML, Pagnin E, Bertipaglia L, et al. Effect of haemodiafiltration with online regeneration of ultrafiltrate on oxidative stress in dialysis patients. Nephrology Dialysis Transplantation 2007;22(5):1413‐9. [MEDLINE: 17237480]

Canaud 1994 {published data only}

Canaud B, Flavier JL, Argiles A, Stec F, NGuyen QV, Bouloux C, et al. Hemodiafiltration with on‐line production of substitution fluid: long‐term safety and quantitative assessment of efficacy. Contributions to Nephrology 1994;108:12‐22. [MEDLINE: 8039393]

Canaud 2000 {published data only}

Canaud B, Bosc JY, Leray‐Moragues H, Stec F, Argiles A, Leblanc M, et al. On‐line haemodiafiltration. Safety and efficacy in long‐term clinical practice. Nephrology Dialysis Transplantation 2000;15 Suppl 1:60‐7. [MEDLINE: 10737169]

Canaud 2001 {published data only}

Canaud B, Wizemann V, Pizzarelli F, Greenwood R, Schultze G, Weber C, et al. Cellular interleukin‐1 receptor antagonist production in patients receiving on‐line haemodiafiltration therapy. Nephrology Dialysis Transplantation 2001;16(11):2181‐7. [MEDLINE: 11682665]

Cappelli 1985 {published data only}

Cappelli G, Icardi A, Lamperi S. Biofiltration (BF) versus hemofiltration (HF) in the treatment of chronic uremia [abstract]. Kidney International 1985;28(2):365. [CENTRAL: CN‐00550380]

Carozzi 1992 {published data only}

Carozzi S, Nasini MG, Caviglia PM, Schelotto C, Santoni O, Atti M. Acetate free biofiltration. Effects on peripheral blood monocyte activation and cytokine release. ASAIO Journal 1992;38(1):52‐4. [MEDLINE: 1313318]

Cavalcanti 2004 {published data only}

Cavalcanti S, Ciandrini A, Severi S, Badiali F, Bini S, Gattiani A, et al. Model‐based study of the effects of the hemodialysis technique on the compensatory response to hypovolemia. Kidney International 2004;65(4):1499‐510. [MEDLINE: 15086494]

Cerulli 2000 {published data only}

Cerulli N, La Greca G, Laville M, Palla R, Ramello A, Ghezzi PM, et al. The effect of hemodiafiltration with on‐line endogenous reinfusion (on‐line HFR) on anemia: Design of a European, open, randomised, multicentre trial. European Collaborative Study. Journal of Nephrology 2000;13(1):34‐42. [MEDLINE: 10720212]

Champagne 2008 {published data only}

Champagne K, Barre P, Tangri N, Iqbal S, Kimoff RJ. Effect of hemodiafiltration vs conventional hemodialysis on sleep apnea severity and 24‐hour blood pressure level [abstract no: M545]. World Congress of Nephrology; 2009 May 22‐26; Milan, Italy. 2009.
Champagne K, Tangri N, Barre P, Kimoff R. Effect of hemodiafiltration (HDF) vs. conventional hemodialysis (CHD) on sleep apnea (SA) severity: findings of a pilot randomized cross‐over study [abstract no: J14]. American Thoracic Society International Conference; 2008 May 16‐21; Toronto, Canada. 2008:A937.

Chanard 1988 {published data only}

Chanard J, Toupance O, Gillery P, Lavaud S. Evaluation of protein loss during hemofiltration. Kidney International ‐ Supplement 1988;24:S114‐6. [MEDLINE: 3163030]

Chang 1979 {published data only}

Chang TM, Chirito E, Barre P, Cole C, Lister C, Resurreccion E. Long‐term clinical assessment of combined ACAC hemoperfusion‐ultrafiltration in uremia. Artificial Organs 1979;3(2):127‐31. [MEDLINE: 533395]

Chauveau 1993 {published data only}

Chauveau P, Houillier P, Ramdane M, Zins B, Poignet JL, Naret C, et al. Serial determinations of bone mineral density in hemodialyzed patients on acetate free biofiltration [abstract]. 12th International Congress of Nephrology; 1993 Jun 13‐18; Jerusalem, Israel. 1993:468.

Chen 2005c {published data only}

Chen X, Li Z, Wu P, Zhang D, Shen Q, Yu X. B2‐microglobulin and iPTH removal in on‐line hemodiafiltration versus low‐ and high‐flux hemodialysis [abstract no: T‐PO40041]. Nephrology 2005;10(Suppl 1):A185. [CENTRAL: CN‐00782409]

Chiappini 2004 {published data only}

Chiappini MG, Ammann T, Selvaggi G, Bravi M, Traietti P. Effects of different dialysis membranes and techniques on the nutritional status, morbidity and mortality of hemodialysis patients [Effetti di diverse membrane e metodiche dialitiche sullo stato nutrizionale, morbilita e mortalita di pazienti emodializzati]. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S190‐6. [MEDLINE: 15750983]

Cirillo 2011 {published data only}

Cirillo I, Vaccaro N, Balis D, Redman R, Matzke GR. Influence of continuous venovenous hemofiltration and continuous venovenous hemodiafiltration on the disposition of doripenem. Antimicrobial Agents & Chemotherapy 2011;55(3):1187‐93. [MEDLINE: 21199922]

Collins 1985 {published data only}

Collins AJ, Keshaviah P, Ilstrup KM, Shapiro F. Clinical comparison of hemodialysis and hemofiltration. Kidney International ‐ Supplement 1985;17:S18‐22. [MEDLINE: 3867792]

David 2000 {published data only}

David S, Triolo G, Tessitore N, Gruppo di Studio Collaborativo Europeo HFR on line. EPO response in patients treated by hemodiafiltration with infusion of regenerated ultrafiltrate (on line HFR): a protocol for a multicenter study [abstract]. Nephrology Dialysis Transplantation 2000;15(9):A163. [CENTRAL: CN‐00460611]

Duranti 2004 {published data only}

Duranti E. Acetate‐free hemodialysis: a feasibility study on a technical alternative to bicarbonate dialysis. Blood Purification 2004;22(5):446‐52. [MEDLINE: 15365213]

Feliciani 2007 {published data only}

Feliciani A, Riva MA, Zerbi S, Ruggiero P, Plati AR, Cozzi G, et al. New strategies in haemodiafiltration (HDF): prospective comparative analysis between on‐line mixed HDF and mid‐dilution HDF. Nephrology Dialysis Transplantation 2007;22(6):1672‐9. [MEDLINE: 17347283]
Pedrini LA, Feliciani A, Riva A, Zerbi S, Cozzi G. Middle molecular uremic toxins removal. Prospective comparative study between two new on‐line haemodiafiltration (HDF) techniques: mixed HDF and mid‐dilution HDF [abstract no: SP695]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv249. [CENTRAL: CN‐00615864]

Fu 2006 {published data only}

Fu R, Gui B, Wang L, Li R, Guo R, Zhang Y. The clinical study on dialysis effect and nutritional status of different dialysis modes. Journal of Xi'an Jiaotong University Medical Sciences 2006;27(4):414‐6. [EMBASE: 2006447629]

Gerdemann 2002 {published data only}

Gerdemann A, Wagner Z, Solf A, Bahner U, Heidland A, Vienken J, et al. Plasma levels of advanced glycation end products during haemodialysis, haemodiafiltration and haemofiltration: Potential importance of dialysate quality. Nephrology Dialysis Transplantation 2002;17(6):1045‐9. [MEDLINE: 12032195]

Giannattasio 2006 {published data only}

Giannattasio P, Minutolo R, Bellizzi V, Di Iorio BR, Scigliano R, Zamboli P, et al. Effects of efficiency and length of acetate‐free biofiltration session on postdialysis solute rebound. American Journal of Kidney Diseases 2006;47(6):1045‐54. [MEDLINE: 16731300]

Harzallah 2008 {published data only}

Harzallah K, Hichri N, Mazigh C, Tagorti M, Hmida A, Hmida J. Variability of acid‐base status in acetate‐free biofiltration 84% versus bicarbonate dialysis. Saudi Journal of Kidney Diseases & Transplantation 2008;19(2):215‐21. [MEDLINE: 18310870]

Hdez‐Jaras 1994 {published data only}

Hdez‐Jaras J, Galan A, Martin J. Kinetics of bicarbonate and acetate: a comparative study between haemodiafiltration in double chamber and high‐flow haemodialysis [abstract]. Nephrology Dialysis Transplantation 1994;9(10):1512. [CENTRAL: CN‐00261075]

Henderson 1980 {published data only}

Henderson LW. Hemofiltration for the treatment of hypertensions associated with end‐stage renal failure. Artificial Organs 1980;4(2):103‐7. [MEDLINE: 6994698]

Higuchi 2004 {published data only}

Higuchi T, Yamamoto C, Kuno T, Okada K, Soma M, Fukuda N, et al. A comparison of bicarbonate hemodialysis, hemodiafiltration, and acetate‐free biofiltration on cytokine production. Therapeutic Apheresis & Dialysis 2004;8(6):460‐7. [MEDLINE: 15663545]

Hillion 1997 {published data only}

Hillion D, Robine M, et al. Evaluation of a new triacetate membrane in hemodiafiltration (HDF) compared with 5 high performance hemodiafilters [abstract]. Nephrology Dialysis Transplantation 1997;12(9):A167. [CENTRAL: CN‐00261415]

Hmida 2002 {published data only}

Hmida J, Balma A, Lebben I, Hichri N, Dhahri M. Clinical evaluation of acetate‐free biofiltration at 84 0/00 in patients with chronic renal insufficiency [Evaluation clinique a moyen terme de la technique de biofiltration sans acetate a 84 0/00 chez les malades insuffisants renaux chroniques]. Tunisie Medicale 2002;80(8):473‐84. [MEDLINE: 12703128]

Ikebe 2006 {published data only}

Ikebe N, Eguchi K, Suzuki K, Miwa N, Mineshima M, Akiba T. Trial of a new haemodiafiltration (HDF): intermittent infusion HDF [abstract no: SP685]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv246.

Jahn 1981 {published data only}

Jahn H, Schohn D, Schmitt R. Hemodynamic studies in chronic terminal renal insufficiency‐‐Effects of hemodialysis (Hd), hemofiltration (Hf) and ultrafiltration (Uf) procedures [Etudes hemodynamiques au cours de l'insuffisance renale chronique terminale‐‐effets des techniques d'epuration extrarenale]. Nephrologie 1981;2(2):53‐62. [MEDLINE: 7290301]

Jose 2008 {published data only}

Jose M, Yu R, Kirkland G. The influence of haemodiafiltration on inflammation, insulin resistance and adipokines [abstract no: 044]. Nephrology 2008;13(Suppl 3):A110.

Joyeux 2009 {published data only}

Joyeux V, Sijpkens Y, Nilsson L, Haddj‐Elmrabet A, Bijvoet AJ. Automated pressure control mode improves middle molecule removal in hemodiafiltration [abstract no: M450]. World Congress of Nephrology; 2009 May 22‐26; Milan, Italy. 2009.

Kanter 2008 {published data only}

Kanter J, Puerta MC, Garcia RP, Gomez JM, Jofre R, Rodriguez PB. On‐line sequential hemodiafiltration (HDF‐OL‐S): a new therapeutic option [Hemodiafiltracion en linea secuencial (HDF‐OL‐S): una nueva opcion terapeutica]. Nefrologia 2008;28(4):433‐8. [MEDLINE: 18662152]

Katschnig 1980 {published data only}

Katschnig H, Pogglitsch H, Holzer H. Hemofiltrate dialysis: first experiences with hemofiltrate regeneration by means of dialysis [Hamofiltratdialyse: klinisch‐experimentelle daten zur hamofiltratregeneration mittels dialyse]. Nieren‐und Hochdruckkrankheiten 1980;9(3):132‐5. [EMBASE: 1980220746]

Kim 2009 {published data only}

Kim S, Oh KH, Chin HJ, Na KY, Kim YS, Chae DW, et al. Effective removal of leptin via hemodiafiltration with on‐line endogenous reinfusion therapy. Clinical Nephrology 2009;72(6):442‐8. [MEDLINE: 19954721]

Kishimoto 1980 {published data only}

Kishimoto T, Yamagami S, Tanaka H, Ohyama T, Yamamoto T, Yamakawa M, et al. Superiority of hemofiltration to hemodialysis for treatment of chronic renal failure: comparative studies between hemofiltration and hemodialysis on dialysis disequilibrium syndrome. Artificial Organs 1980;4(2):86‐93. [MEDLINE: 7396769]

Klemm 1997 {published data only}

Klemm A, Sperschneider H, Winnefeld K, Gunther K, Stein G. Comparison of aluminum removal between hemodialysis with polycarbonate low flux membrane and hemofiltration with polysulfone high flux membrane in end‐stage renal failure patients. Clinical Nephrology 1997;47(2):133‐4. [MEDLINE: 9049466]

Klingel 2004 {published data only}

Klingel R, Schaefer M, Schwarting A, Himmelsbach F, Altes U, Uhlenbusch‐Korwer I, et al. Comparative analysis of procoagulatory activity of haemodialysis, haemofiltration and haemodiafiltration with a polysulfone membrane (APS) and with different modes of enoxaparin anticoagulation. Nephrology Dialysis Transplantation 2004;19(1):164‐70. [MEDLINE: 14671052]

Krieter 2005 {published data only}

Krieter DH, Falkenhain S, Chalabi L, Collins G, Lemke HD, Canaud B. Clinical cross‐over comparison of mid‐dilution hemodiafiltration using a novel dialyzer concept and post‐dilution hemodiafiltration. Kidney International 2005;67(1):349‐56. [MEDLINE: 15610261]
Krieter DH, Falkenhain S, Chalabi L, Collins G, Summerton J, Spence E, et al. Improved middle molecule removal in mid‐dilution HDF (HDF) with the nephros olpur™ md 190 filter compared to post‐dilution HDF (post‐HDF) [abstract]. 41st Congress. European Renal Association. European Dialysis and Transplantation Association; 2004 May 15‐18; Lisbon, Portugal. 2004:366. [CN‐00509293]

Krieter 2008a {published data only}

Krieter DH, Hunn E, Morgenroth A, Lemke HD, Wanner C. Matching efficacy of high‐efficiency HDF in simple HD mode with PUREMA [abstract no: PUB297]. Journal of the American Society of Nephrology 2007;18(Abstracts Issue):894A.
Krieter DH, Hunn E, Morgenroth A, Lemke HD, Wanner C. Matching efficacy of online hemodiafiltration in simple hemodialysis mode. Artificial Organs 2008;32(12):903‐9. [MEDLINE: 19133017]

Krieter 2010 {published data only}

Krieter DH, Hackl A, Rodriguez A, Chenine L, Moragues HL, Lemke HD, et al. Protein‐bound uraemic toxin removal in haemodialysis and post‐dilution haemodiafiltration. Nephrology Dialysis Transplantation 2010;25(1):212‐8. [MEDLINE: 19755476]

Kuno 1994 {published data only}

Kuno T, Kikuchi F, Yanai M, Nagura Y, Takahashi S. Clinical advantages of acetate‐free biofiltration. Contributions to Nephrology 1994;108:121‐30. [MEDLINE: 8039394]

Leber 1980 {published data only}

Leber HW, Wizemann V, Techert F. Simultaneous hemofiltration/hemodialysis (HF/HD): short‐ and long‐term tolerance. Introduction of a system for automatic fluid replacement. Artificial Organs 1980;4(2):108‐12. [MEDLINE: 7396762]

Li 1997 {published data only}

Li X, Li M, Liu T, Li L, Duan L, Li Y, et al. Hemofiltration or hemodiafiltration with on‐line production of substitution fluid: clinical observation of safety and effectiveness. Chinese Medical Journal 1997;110(7):520‐5. [MEDLINE: 9594209]

Lin 2003a {published data only}

Lin CL, Huang CC, Yu CC, Yang HY, Chuang FR, Yang CW. Reduction of advanced glycation end product levels by on‐line hemodiafiltration in long‐term hemodialysis patients. American Journal of Kidney Diseases 2003;42(3):524‐31. [MEDLINE: 12955680]

Liomin 1984 {published data only}

Liomin E, Schneider H, Streicher E. Hemodynamics during hemodialysis, hemofiltration and hemodiafiltration using bicarbonate vs acetate buffers [Hamodynamik bei hamodialyse, hamofiltration und hamodiafiltration bikarbonat‐vs azetatpufferung]. Klinische Wochenschrift 1984;62(19):911‐9. [MEDLINE: 6503213]

Locatelli 1998 {published data only}

Locatelli F, Del Vecchio L, Manzoni C. Morbidity and mortality on maintenance haemodialysis. Nephron 1998;80(4):380‐400. [MEDLINE: 9832637]

Locatelli 1999 {published data only}

Locatelli F, Marcelli D, Conte F, Limido A, Malberti F, Spotti D. Comparison of mortality in ESRD patients on convective and diffusive extracorporeal treatments. The Registro Lombardo Dialisi E Trapianto. Kidney International 1999;55(1):289‐93. [MEDLINE: 9893138]

Locatelli 2001 {published data only}

Locatelli F, Del Vecchio L, Andrulli S. Dialysis: its role in optimizing recombinant erythropoietin treatment. Nephrology Dialysis Transplantation 2001;16 Suppl 7:29‐35. [MEDLINE: 11590254]

Locatelli 2002 {published data only}

Locatelli F, Manzoni C, Di Filippo S. The importance of convective transport. Kidney International ‐ Supplement 2002;80:115‐20. [MEDLINE: 11982825]

Lornoy 1998a {published data only}

Lornoy W, Becaus I, Billiouw JM, Sierens L, Van Malderen P, Van Rampelbergh S, et al. B2 microglobulin kinetics in on‐line hemodiafiltration with high volume of replacement solution versus high flux hemodialysis. Is there a limit in the amount of replacement volume? [abstract]. 35th Congress. European Renal Association. European Dialysis and Transplantation Association; 1998 Jun 6‐9; Rimini, Italy. 1998:302. [CENTRAL: CN‐00484891]

Lornoy 2001 {published data only}

Lornoy W, Becaus I, Billiouw J, Beckers F, Van Malderen P, Van Langenhove P. Comparison of different high flux membranes with on‐line hemodialfiltration [abstract]. Journal of the American Society of Nephrology 2001;12(Program & Abstracts):453A. [CENTRAL: CN‐00626021]
Lornoy W, Becaus I, Billiouw JM, Beckers F, Van Malderen P, Van Langenhove P. Comparison of different high flux membranes with on‐line haemodiafiltration (HDF) [abstract]. 38th Congress. European Renal Association. European Dialysis and Transplantation Association; 2001 Jun 24‐27; Vienna, Austria. 2001:253. [CENTRAL: CN‐00461209]

Maeda 1990 {published data only}

Maeda K, Kobayakawa H, Fujita Y, Takai I, Morita H, Emoto Y, et al. Effectiveness of push/pull hemodiafiltration using large‐pore membrane for shoulder joint pain in long‐term dialysis patients. Artificial Organs 1990;14(5):321‐7. [MEDLINE: 2241598]

Maggiore 2000 {published data only}

Maggiore Q, Pizzarelli F, Dattolo P, Maggiore U, Cerrai T. Cardiovascular stability during haemodialysis, haemofiltration and haemodiafiltration. Nephrology Dialysis Transplantation 2000;15 Suppl 1:68‐73. [MEDLINE: 10737170]

Maheshwari 2012 {published data only}

Maheshwari V, Samavedham L, Rangaiah GP, Loy Y, Ling LH, Sethi S, et al. Comparison of toxin removal outcomes in online hemodiafiltration and intra‐dialytic exercise in high‐flux hemodialysis: a prospective randomized open‐label clinical study protocol. BMC Nephrology 2012;13:156. [MEDLINE: 23176731]

Malberti 1991 {published data only}

Malberti F, Surian M, Farina M, Vitelli E, Mandolfo S, Guri L, et al. Effect of hemodialysis and hemodiafiltration on uremic neuropathy. Blood Purification 1991;9(5‐6):285‐95. [MEDLINE: 1668062]

Mastrangelo 1986 {published data only}

Mastrangelo F, Rizzelli S, Passione A, Procaccini DA, Gigante B, Gallucci M, et al. Puglia cooperative study on biofiltration. International Journal of Artificial Organs 1986;9 Suppl 3:25‐6. [MEDLINE: 3557668]

Mesic 2011 {published data only}

Mesic E, Bock A, Major L, Vaslaki L, Berta K, Wikstrom B, et al. Dialysate saving by automated control of flow rates: comparison between individualized online hemodiafiltration and standard hemodialysis. Hemodialysis International 2011;15(4):522‐9. [MEDLINE: 22111821]

Minutolo 2002 {published data only}

Minutolo R, Bellizzi V, Cioffi M, Iodice C, Giannattasio P, Andreucci M, et al. Postdialytic rebound of serum phosphorus: pathogenetic and clinical insights. Journal of the American Society of Nephrology 2002;13(4):1046‐54. [MEDLINE: 11912265]

Mioli 1986 {published data only}

Mioli V, Albertazzi A, Baroni C, Bordoni E, Buoncristiani U, Capponi E, et al. Polycentric 384‐month study of biofiltration (BF) with AN69s. International Journal of Artificial Organs 1986;9 Suppl 3:15‐6. [MEDLINE: 3549572]

Mishkin 2002 {published data only}

Mishkin MA, Mishkin GJ, Lew SQ. Solute removal in hemodiafiltration compared to standard high flux dialysis: combined analysis of 2 cross over studies [abstract no: F‐P0870]. Journal of the American Society of Nephrology 2002;13(September, Program & Abstracts):238A. [CENTRAL: CN‐00446789]

Mohini 1989 {published data only}

Mohini R, Michaels R, Trost C, Gron D, Zasuwa G, Dumler F, et al. Comparison of effect of recombinant human erythropoietin (rHEPO) in patients on high flux (HF) vs conventional (C) hemodialysis [abstract]. Kidney International 1989;35(1):256. [CENTRAL: CN‐00782715]

Morena 2006 {published data only}

Morena M, Dupuy A, Taamma R, Tetta C, Cristol J, Canaud B, et al. Convective techniques improve middle substances removal: a randomized cross‐over study comparing hemodialysis and on line hemodiafiltration using HF80 versus FX80 [abstract no: SP697]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv251.

Movilli 2011 {published data only}

Movilli E, Camerini C, Gaggia P, Poiatti P, Pola A, Viola BF, et al. Effect of post‐dilutional on‐line haemodiafiltration on serum calcium, phosphate and parathyroid hormone concentrations in uraemic patients. Nephrology Dialysis Transplantation 2011;26(12):4032‐7. [MEDLINE: 21555393]

Mrowka 1993 {published data only}

Kuchle C, Fricke H, Held E, Schiffl H. High‐flux hemodialysis postpones clinical manifestation of dialysis‐related amyloidosis. American Journal of Nephrology 1996;16(6):484‐8. [MEDLINE: 8955759]
Kuchle C, Fricke H, et al. High‐flux hemodialysis postpones clinical manifestation of dialysis associated amyloidosis [abstract]. Nephrology Dialysis Transplantation 1996;11(6):A232. [CN‐00261301]
Kuchle C, Lang SM, Held E, Schiffl H. Biocompatibility, b2‐microglobulin and dialysis‐associated amyloidosis [abstract]. Nephrology 1997;3(Suppl 1):S404. [CENTRAL: CN‐00461113]
Mrowka C, Schiffl H. Comparative evaluation of beta 2‐microglobulin removal by different hemodialysis membranes: a six‐year follow‐up. Nephron 1993;63(3):368‐9. [MEDLINE: 8446285]
Schiffl H, Kuchle C, Held E. Beta‐2‐microglobulin removal by different hemodialysis membranes. Contributions to Nephrology 1995;112:156‐63. [MEDLINE: 7554987]

Nakazawa 1997 {published data only}

Nakazawa R, Nakamura M, et al. A comparison of b2‐microglobulin removal during haemodialysis, haemodiafiltration and direct haemoperfusion [abstract]. Nephrology Dialysis Transplantation 1997;12(9):A175. [CENTRAL: CN‐00261422]

Ohyama 1981 {published data only}

Ohyama T. Study on guanidine compounds in chronic renal failure: comparison of hemofiltration (HF) and hemodialysis (HD). Journal of the Osaka City Medical Center 1981;30(3):533‐43. [EMBASE: 1982218680]

Pacitti 1993 {published data only}

Pacitti A, Tetta C, Mangiarotti G, Canavese C, Segoloni GP. Beta‐2‐microglobulin serum profiles in different settings of mass transport and fluid pyrogen content. Kidney International ‐ Supplement 1993;41:S96‐9. [MEDLINE: 8320955]

Panichi 1994 {published data only}

Panichi V, Parrini M, Bianchi AM, Andreini B, Cirami C, Finato V, et al. Mechanisms of acid‐base homeostasis in acetate and bicarbonate dialysis, lactate hemofiltration and hemodiafiltration. International Journal of Artificial Organs 1994;17(6):315‐21. [MEDLINE: 7806416]

Panichi 1998 {published data only}

Panichi V, De Pietro S, Andreini B, Migliori M, Tessore V, Taccola D, et al. Cytokine production in haemodiafiltration: a multicentre study. Nephrology Dialysis Transplantation 1998;13(7):1737‐44. [MEDLINE: 9681721]

Panichi 2006 {published data only}

Panichi V, Manca‐Rizza G, Paoletti S, Filippi C, Consani C, Sidoti A, et al. Effects of inflammatory and nutritional markers of hemodiafiltration with online regeneration of ultrafiltrate (HFR) versus on‐line hemodiafiltration: a cross‐over randomized multicenter trial [abstract no: MO13]. Nephrology Dialysis Transplantation 2005;20(Suppl 5):v191.
Panichi V, Manca‐Rizza G, Paoletti S, Taccola D, Consani C, Filippi C, et al. Effects on inflammatory and nutritional markers of haemodiafiltration with online regeneration of ultrafiltrate (HFR) vs online haemodiafiltration: a cross‐over randomized multicentre trial. Nephrology Dialysis Transplantation 2006;21(3):756‐62. [MEDLINE: 16303780]

Pedrini 1999 {published data only}

Pedrini L, De Cristafaro V. Hemodiafiltration with simultaneous pre and post dilution (pre‐post‐HDF) [abstract]. Nephrology Dialysis Transplantation 1999;14(9):A177. [CENTRAL: CN‐00583434]

Pedrini 2006 {published data only}

Pedrini LA, Cozzi G, Faranna P, Mercieri A, Ruggiero P, Zerbi S, et al. Transmembrane pressure modulation in high‐volume mixed hemodiafiltration to optimize efficiency and minimize protein loss. Kidney International 2006;69(3):573‐9. [MEDLINE: 16407883]

Pedrini 2009 {published data only}

Feliciani A. Reverse mid‐dilution HDF: technical optimization for clearance optimization [abstract no: SP255]. XLV ERA‐EDTA Congress; 2008 May 10‐13; Stockholm, Sweden. 2008.
Pedrini LA, Feliciani A, Zerbi S, Cozzi G, Ruggiero P. Optimization of mid‐dilution haemodiafiltration: technique and performance. Nephrology Dialysis Transplantation 2009;24(9):2816‐24. [MEDLINE: 19420103]

Pedrini 2011 {published data only}

Pedrini LA, Gmerek A, Wagner J. Efficiency of post‐dilution hemodiafiltration with a high‐flux alpha‐polysulfone dialyzer. International Journal of Artificial Organs 2011;34(5):397‐404. [MEDLINE: 21574157]

Petras 2005 {published data only}

Petras D, Fortunato A, Soffiati G, Brendolan A, Bonello M, Crepaldi C, et al. Sequential convective therapies (SCT): a prospective study on feasibility, safety, adequacy and tolerance of on‐line hemofiltration and hemodiafiltration in sequence. International Journal of Artificial Organs 2005;28(5):482‐8. [EMBASE: 2005265716]

Pizzarelli 2004 {published data only}

Pizzarelli F, Cerrai T, Dattolo P, Ferro G. On‐line haemodiafiltration with and without acetate. Nephrology Dialysis Transplantation 2006;21(6):1648‐51. [MEDLINE: 16464887]
Pizzarelli F, Cerrai T, Ferro G, Dattolo P. On‐line hemodiafiltration without acetate. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S97‐101. [MEDLINE: 15747315]

Quellhorst 1983 {published data only}

Quellhorst E. Long‐term follow up in chronic hemofiltration. International Journal of Artificial Organs 1983;6(3):115‐20. [MEDLINE: 6874123]

Quellhorst 1983a {published data only}

Quellhorst EA, Schuenemann B, Hildebrand U. Morbidity and mortality in long‐term hemofiltration. ASAIO Journal 1983;6(4):185‐91. [EMBASE: 1984102779]

Ragazzoni 2004 {published data only}

Ragazzoni E, Carpani P, Agliata S, Ciranna G, Cusinato S, Albini M, et al. HFR vs HDF‐ON line: plasmatic amino acids loss evaluation [HFR vs HDF on‐line: valutazione della perdita aminoacidica plasmatica]. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S85‐90. [MEDLINE: 15747313]

Ramunni 2006 {published data only}

Ramunni A, Piccolo T, Saracino A, Di Bitonto G, Coratelli P. Efficacy of hemodiafiltration with endogenous reinfusion (HFR) in reducing amino acids depletion: comparison with bicarbonate dialysis [abstract no: SP693]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv249.

Rius 2007 {published data only}

Rius A, Hernandez‐Jaras J, Pons R, Garcia Perez H, Torregrosa E, Sanchez Canel JJ, et al. Kinetic of calcium, phosphate, magnesium and PTH variations during hemodiafiltration [Cineica del calcio, fosforo, magnesio y variaciones de la parathormona (PTH) en pacientes en hemodiafiltracion]. Nefrologia 2007;27(5):593‐8. [MEDLINE: 18045035]

Ronco 2000 {published data only}

Ronco C, Brendolan A, Milan M, Rodeghiero MP, Zanella M, La Greca G. Impact of biofeedback‐induced cardiovascular stability on hemodialysis tolerance and efficiency. Kidney International 2000;58(2):800‐8. [MEDLINE: 10916105]

Sakurai 1990 {published data only}

Sakurai S, Yoshiyama N, Takeuchi H. Acetate‐free biofiltration (AFBF) vs. bicarbonate hemodialysis (BHD): evaluation of short‐time AFBF with various doses of hypertonic bicarbonate solution [abstract]. 11th International Congress of Nephrology; 1990 Jul 15‐20; Tokyo, Japan. 1990:20A.

Santoro 2005 {published data only}

Ferramosca E, Conz P, De Cristofaro V, Gaggi R, Grammatico F, Wratten ML, et al. Mid‐dilution hemodiafiltration: a new technique able to maximize the middle molecules removal [abstract no: TH‐PO640]. Journal of the American Society of Nephrology 2005;16:258A. [CENTRAL: CN‐00644157]
Santoro A, Conz PA, De C, Acquistapace I, Gaggi R, Ferramosca E, et al. Mid‐dilution: the perfect balance between convection and diffusion. Contributions to Nephrology 2005;149:107‐14. [MEDLINE: 15876834]

Santoro 2008 {published data only}

Santoro A, London G, Cagnoli L, Mercadal L, Fessy H, Perrone B, et al. Intra‐dialytic potassium (K+) profiling may reduce the risk of cardiac arrhytmias in hemodialysi (HD) patients [abstract no: FP353]. Nephrology Dialysis Transplantation 2007;22(Suppl 6):vi136. [CENTRAL: CN‐00644249]
Santoro A, Mancini E, London G, Mercadal L, Fessy H, Perrone B, et al. Patients with complex arrhythmias during and after haemodialysis suffer from different regimens of potassium removal. Nephrology Dialysis Transplantation 2008;23(4):1415‐21. [MEDLINE: 18065796]

Savoldi 2004 {published data only}

Savoldi S, Sereni L, Bertok S, Ianche M, Bianco F, Marega A, et al. The hemodiafiltration with infusion of acetate‐free dialysis fluid can modify the inflammatory response in patients "high responders" to inflammatory stimuli? [Il trattamento in emodiafiltrazione con infusione di liquido di dialisi (PHF acetate free) puo modificare la risposta infiammatoria in pazienti gia identificati come "high responders" a stimoli infiammatori?]. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S122‐7. [MEDLINE: 15747295]

Shaldon 1998 {published data only}

Shaldon S, Beau MC, Claret G, Deschodt G, Oules R, Ramperez P, et al. Hemofiltration with regeneration of the ultrafiltrate by adsorption: preliminary clinical experience in the treatment of the terminal stage of chronic renal insufficiency [Homofiltration avec regeneration de l'ultrafiltrat par adsorption: premiere experience clinique chez l'insuffisant renal chronique au stade ultim]. Journal d Urologie et de Nephrologie 1978;84(12):878‐83. [MEDLINE: 372555]

Sidoti 2004 {published data only}

Sidoti A, Borracelli D, Biagioli M, Ghezzi PM. Bicarbonate balance in hemodiafiltration (HDF): a comparison between two infusion methods of on‐line prepared solution [Bilancio dei bicarbonati in emodiafiltrazione (HDF): confronto fra due metodiche di reinfusione di liquido prodotto on‐line]. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S177‐80. [MEDLINE: 15750980]

Sirolli 2004 {published data only}

Sirolli V, Cappelli P, Amoroso L, Di Liberato L, Muscianese P, Brummer U, et al. Haemodiafiltration with on‐line reinfusion of endogenous ultrafiltrate (HFR on‐line) removes uraemic retained solutes causing increased exposure of phosphatidylserine on erythrocyte membrane [abstract]. 41st Congress. European Renal Association. European Dialysis and Transplantation Association; 2004 May 15‐18; Lisbon, Portugal. 2004:383‐4. [CENTRAL: CN‐00509484]
Sirolli V, Cappelli P, Amoroso L, Di Liberato L, Muscianese P, Santarelli P, et al. On‐line HFR and removal of uremic toxins inducing the loss of phospholipidic asymmetry of the erythrocyte membrane [HFR on‐line e rimozione di tossine uremiche inducenti la perdita dell'asimmetria fosfolipidica della membrana eritrocitaria]. Giornale Italiano di Nefrologia 2004;21 Suppl 30:S208‐11. [MEDLINE: 15750987]

Spongano 1992 {published data only}

Spongano M, Santoro A, Bolzani R, Ferrari G, Aucella F, Borghi M, et al. Analysis of plasma bicarbonate determinants in acetate‐free biofiltration [Analisi dei determinanti della bicarbonatemia post‐dialitica in biofiltrazione senza acetato (AFB)]. Giornale Italiano di Nefrologia 1992;9(3):131‐7. [EMBASE: 1992221794]

Strujic 2006 {published data only}

Strujic BJ, Vitunjski B, Majer L, Juric K, Crnjakovic J, Gudel J, et al. The effect of hemodiafiltration (HDF) and paired hemodiafiltration on‐line (PHF) on the level of serum b2 microglobulin compared to conventional hemodialysis (HD) [abstract no: SP690]. Nephrology Dialysis Transplantation 2006;21(Suppl 4):iv248.

Susantitaphong 2008 {published data only}

Susantitaphong P, Tiranathanagul K, Kanjanabuch T, Avihingsanon Y, Praditpornsilpa K, Tungsanga K, et al. Efficacy of mid‐dilution on‐line hemodiafiltration compared with two standard pre‐dilution and post‐dilution on‐line hemodiafiltration [abstract no: THPO627]. Journal of the American Society of Nephrology 2008;19(Abstracts Issue):248A.

Timio 1986 {published data only}

Timio M, Ronconi M, Venanzi S, Lazzaroni P, Lori G. Effect of biofiltration on cardiac arrhythmias. International Journal of Artificial Organs 1986;9 Suppl 3:129‐32. [MEDLINE: 2435661]

Tomo 2004 {published data only}

Tomo T, Matsuyama K, Nasu M. Effect of hemodiafiltration against radical stress in the course of blood purification. Blood Purification 2004;22 Suppl 2:72‐7. [MEDLINE: 15655328]

Umimoto 2000 {published data only}

Umimoto K, Hirai Y, Hayashi T, Tanaka H. The effect of biofiltration on red blood cells 2.3‐diphosphoglycerate and pH. Artificial Organs 2000;24(12):981‐4. [MEDLINE: 11121979]

Vantelon 1977 {published data only}

Vantelon J, Lauriat F, Perrone B, Jeannot F. Is it possible to treat uremia by hemofiltration? Initial clinical results obtained with a poly‐acrylo‐nytril membrane [Peut‐on traiter l'uremie par hemofiltration? Premiers resultats cliniques obtenus sur membrane poly‐acrylo‐nitrile]. Nouvelle Presse Medicale 1977;6(13):1117‐20. [MEDLINE: 850622]

Vaslaki 1998 {published data only}

Vaslaki L, Weber C, Mitteregger R, Falkenhagen D. No difference in cytokine induction between patients on on‐line hemodiafiltration (HDF) and low‐flux HD [abstract]. International Journal of Artificial Organs 1998;21(10):609. [CENTRAL: CN‐00321994]

Vaslaki 2000 {published data only}

Vaslaki L, Weber C, Mitteregger R, Falkenhagen D. Cytokine induction in patients undergoing regular online hemodiafiltration treatment. Artificial Organs 2000;24(7):514‐8. [MEDLINE: 10916061]

Vaslaki 2002 {published data only}

Vaslaki L, Major L, Berta K, Karatson A, Misz M, Ladanyi E, et al. Impact of convection on online hemodiafiltration on blood concentration of lipids [abstract no: PUB237]. Journal of the American Society of Nephrology 2002;13(September, Program & Abstracts):718A. [CENTRAL: CN‐00448171]
Vaslaki L, Major L, Berta K, Karatson A, Misz M, Ladanyi E, et al. The impact of convection in online hemodiafiltration on blood concentration of advanced glycation end products [abstract no: M383]. Nephrology Dialysis Transplantation 2002;17(Suppl 1):154. [CENTRAL: CN‐00509536]

Vaslaki 2003 {published data only}

Vaslaki L, Major L, Berta K, Karatson A, Misz M, Pethoe F, et al. Decrease of serum phosphate with on‐line haemodiafiltration [abstract]. Nephrology Dialysis Transplantation 2003;18(Suppl 4):194. [CENTRAL: CN‐00448172]

Vaslaki 2005 {published data only}

Vaslaki LR, Berta K, Major L, Weber V, Weber C, Wojke R, et al. On‐line hemodiafiltration does not induce inflammatory response in end‐stage renal disease patients: results from a multicenter cross‐over study. Artificial Organs 2005;29(5):406‐12. [MEDLINE: 15854217]

Wang 2004d {published data only}

Wang C, Lou TQ, Tang H, Chen ZJ, Yin PD, Yu XQ. Clearance effect of different blood purification techniques on parathyroid hormone in renal function failure patients on maintenance hemodialysis. Zhongguo Wei Zhong Bing Ji Jiu Yi Xue [Chinese Critical Care Medicine] 2004;16(12):753‐5. [MEDLINE: 15585154]

Wizemann 2001 {published data only}

Wizemann V, Kulz M, Techert F, Nederlof B. Efficacy of haemodiafiltration. Nephrology Dialysis Transplantation 2001;16 Suppl 4:27‐30. [MEDLINE: 11402094]

Zehnder 1999 {published data only}

Zehnder C, Gutzwiller JP, Renggli K. Hemodiafiltration‐‐a new treatment option for hyperphosphatemia in hemodialysis patients. Clinical Nephrology 1999;52(3):152‐9. [MEDLINE: 10499310]

Zimmerman 2003 {published data only}

Zimmerman DL, Swedko PJ, Posen GA, Burns KD. Daily hemofiltration with a simplified method of delivery. ASAIO Journal 2003;49(4):426‐9. [MEDLINE: 12918585]

Zucchelli 1988 {published data only}

Zucchelli P, Santoro A, Fusaroli M, Borghi M. Biofiltration in uremia. Kidney International ‐ Supplement 1988;24:S141‐4. [MEDLINE: 3163036]

Beerenhout 2004 {published data only}

Beerenhout C, Dejagere T, van der Sande FM, Bekers O, Leunissen KM, Kooman JP. Haemodynamics and electrolyte balance: a comparison between on‐line pre‐dilution haemofiltration and haemodialysis. Nephrology Dialysis Transplantation 2004;19(9):2354‐9. [MEDLINE: 15266029]

Bellien 2014 {published data only}

Bellien J, Freguin‐Bouilland C, Joannides R, Hanoy M, Remy‐Jouet I, Monteil C, et al. High‐efficiency on‐line haemodiafiltration improves conduit artery endothelial function compared with high‐flux haemodialysis in end‐stage renal disease patients. Nephrology Dialysis Transplantation 2014;29(2):414‐22. [MEDLINE: 24235073]

Cornelis 2014 {published data only}

Cornelis T, van der Sande FM, Eloot S, Cardinaels E, Bekers O, Damoiseaux J, et al. Acute hemodynamic response and uremic toxin removal in conventional and extended hemodialysis and hemodiafiltration: a randomized crossover study. American Journal of Kidney Diseases 2014;64(2):247‐56. [MEDLINE: 24698199]

de Sequera 2013 {published data only}

de Sequera P, Albalate M, Perez‐Garcia R, Corchete E, Puerta M, Ortega M, et al. A comparison of the effectiveness of two online haemodiafiltration modalities: mixed versus post‐dilution. Nefrologia 2013;33(6):779‐87. [MEDLINE: 24241365]

Francisco 2013 {published data only}

Francisco RC, Aloha M, Ramon PS. Effects of high‐efficiency postdilution online hemodiafiltration and high‐flux hemodialysis on serum phosphorus and cardiac structure and function in patients with end‐stage renal disease. International Urology & Nephrology 2013;45(5):1373‐8. [MEDLINE: 23143753]

Gonzales‐Diez 2012 {published data only}

Gonzalez‐Diez B, Cavia M, Torres G, Abaigar P, Camarero V, Muniz P. The effects of 1‐year treatment with a haemodiafiltration with on‐line regeneration of ultrafiltrate (HFR) dialysis on biomarkers of oxidative stress in patients with chronic renal failure. Molecular Biology Reports 2012;39(1):629‐34. [MEDLINE: 21603859]

Krieter 2010a {published data only}

Krieter DH, Fischer R, Lemke HD, Merget K, Canaud B, Wanner C. Endothelial progenitor cells (EPCs) in different dialysis procedures [abstract no: TH‐PO399]. Journal of the American Society of Nephrology 2009;20(Abstracts):206A.
Krieter DH, Fischer R, Merget K, Lemke HD, Morgenroth A, Canaud B, et al. Endothelial progenitor cells in patients on extracorporeal maintenance dialysis therapy. Nephrology Dialysis Transplantation 2010;25(12):4023‐31. [MEDLINE: 20980359]

NCT01098149 {published data only}

Cancarini G. Tolerance to hemodialysis in insulin‐requiring diabetic patients: a prospective randomized, cross‐over multicenter study between bicarbonate dialysis (BD) and blood volume controlled acetate‐free biofiltration (BVC‐AFB). clinicaltrials.gov/ct2/show/NCT01098149 (accessed 18 February 2015).

NCT01327391 {published data only}

Canaud B. Tolerance of "on Line" hemodiafiltration and impact on morbidity and cardiovascular risk factors in chronic renal failure patients. clinicaltrials.gov/ct2/show/NCT01327391 (accessed 18 February 2015).

NCT01396863 {published data only}

Johansen N, Jensen D. Brain swelling during hemodialysis a comparison of how low flux hemodialysis and pre‐dilution hemodiafiltration affects acute brain volume changes. clinicaltrials.gov/ct2/show/NCT01396863 (accessed 18 February 2015).

NCT01445366 {published data only}

Vanholder R. Solute removal with high volume hemodiafiltration versus long high flux hemodialysis. clinicaltrials.gov/ct2/show/NCT01445366 (accessed 18 February 2015).

NCT02374372 {published data only}

Levesque R, Caron L. Prospective randomized study comparing the hemodiafiltration on‐line and conventional hemodialysis in terms of cost‐benefit. clinicaltrials.gov/ct2/show/NCT02374372 (accessed 31 March 2015).

ANZDATA 2012

Australia, New Zealand Dialysis, Transplant Registry. 35th Annual Report 2012. Chapter 5. Haemodialysis (including home haemodialysis). www.anzdata.org.au/anzdata/AnzdataReport/35thReport/2012c05_haemodialysis_v2.11.pdf (accessed 28 March 2015).

Arizono 2004

Arizono K, Nomura K, Motoyama T, Matsushita Y, Matsuoka K, Miyazu R, et al. Use of ultrapure dialysate in reduction of chronic inflammation during hemodialysis. Blood Purification 2004;22 Suppl 2:26‐9. [MEDLINE: 15655319]

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Daugirdas JT. Dialysis hypotension: a hemodynamic analysis. Kidney International 1991;39(2):233‐46. [MEDLINE: 2002637]

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Tattersall J, Martin‐Malo A, Pedrini L, Basci A, Canaud B, Fouque D, et al. EBPG guidelines on dialysis strategies. Nephrology Dialysis Transplantation 2007;22(Suppl 2):ii5‐ii21.

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Egger M, Davey‐Smith G, Schneider M, Minder C. Bias in meta‐analysis detected by a simple graphical test. BMJ 1997;315(7109):629‐34. [MEDLINE: 9310563]

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ERA‐EDTA Registry. ERA‐EDTA Registry Annual Report 2010. Academic Medical Centre, Department of Medical Informatics, Amsterdam, The Netherlands. 2010. www.era‐edta‐reg.org/files/annualreports/pdf/AnnRep2010.pdf (accessed 28 March 2105).

Guerin 2000

Guerin AP, London GM, Marchais SJ, Metivier F. Arterial stiffening and vascular calcifications in end‐stage renal disease. Nephrology Dialysis Transplantation 2000;15(7):1014‐21. [MEDLINE: 10862640]

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Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, et al. GRADE guidelines: 1. Introduction ‐ GRADE evidence profiles and summary of findings tables. Journal of Clinical Epidemiology 2011;64(4):383‐94. [MEDLINE: 21195583]

Henderson 2004

Henderson LW, Besarab A, Michaels A, Bluemle Jr LW. Blood purification by ultrafiltration and fluid replacement (diafiltration). Hemodialysis International 2004;8(1):10‐8. [MEDLINE: 19379396]

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Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta‐analyses. BMJ 2003;327(7414):557‐60. [MEDLINE: 12958120]

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

Liabeuf 2012

Liabeuf S, Lenglet A, Desjardins L, Neirynck N, Glorieux G, Lemke HD, et al. Plasma beta‐2 microglobulin is associated with cardiovascular disease in uremic patients. Kidney International 2012;82(12):1297‐303. [MEDLINE: 22895515]

Locatelli 2000

Locatelli F, Di Filippo S, Manzoni C. Removal of small and middle molecules by convective techniques. Nephrology Dialysis Transplantation 2000;15 Suppl 2:37‐44. [MEDLINE: 11051036]

Murtagh 2007

Murtagh FE, Addington‐Hall J, Higginson IJ. The prevalence of symptoms in end‐stage renal disease: a systematic review. Advances in Chronic Kidney Disease 2007;14(1):82‐99. [MEDLINE: 17200048]

Schmidt 1986

Schmidt M. Haemodiafiltration. Haemofiltration. Berlin: Springer, 1986:265‐71.

Susantitaphong 2013

Susantitaphong P, Siribamrungwong M, Jaber BL. Convective therapies versus low‐flux hemodialysis for chronic kidney failure: a meta‐analysis of randomized controlled trials. Nephrology Dialysis Transplantation 2013;28(11):2859‐74. [MEDLINE: 24081858]

Sztajzel 1993

Sztajzel J, Ruedin P, Stoermann C, Monin C, Schifferli J, Leski M, et al. Effects of dialysate composition during hemodialysis on left ventricular function. Kidney International ‐ Supplement 1993;41:S60‐6. [MEDLINE: 8320947]

USRDS 2011

US Renal Data System. USRDS 2011 Annual Data Report. Atlas of End‐Stage Renal Disease in the United States, 2011. Bethesda MD National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases. www.usrds.org/atlas11.aspx (accessed 28 March 2015).

Vilar 2009

Vilar E, Fry AC, Wellsted D, Tattersall JE, Greenwood RN, Farrington K. Long‐term outcomes in online hemodiafiltration and high‐flux hemodialysis: a comparative analysis. Clinical Journal of The American Society of Nephrology: CJASN 2009;4(12):1944‐53. [MEDLINE: 19820129]

Zucchelli 1990

Zucchelli P, Santoro A, Ferrari G, Spongano M. Acetate‐free biofiltration: hemodiafiltration with base‐free dialysate. Blood Purification 1990;8(1):14‐22. [MEDLINE: 2378708]

Rabindranath 2005

Rabindranath KS, Strippoli GF, Roderick P, Wallace SA, MacLeod AM, Daly C. Comparison of hemodialysis, hemofiltration, and acetate‐free biofiltration for ESRD: systematic review. American Journal of Kidney Diseases 2005;45(3):437‐47. [MEDLINE: 15754266]

Rabindranath 2006

Rabindranath K S, Strippoli G F, Daly C, Roderick P J, Wallace S, MacLeod A M. Haemodiafiltration, haemofiltration and haemodialysis for end‐stage kidney disease. Cochrane Database of Systematic Reviews 2006, Issue CD006258. [DOI: 10.1002/14651858.CD006258]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Altieri 2004

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 6 months

Participants

  • Country: Italy

  • Setting: multi‐centre (13 centres)

  • ESKD patients on dialysis for at least 6 months and were in stable clinical condition

  • Number (randomised/analysed): 39/30

  • Mean age ± SD: 58.4 ± 19.3

  • Sex (M/F): 10/20

  • Exclusion criteria: daily diuresis of more than 200 mL; presence of chronic infection, malignancy, systemic disease, liver insufficiency or active liver illness; overt malnutrition; clinically evident cardiac dysfunction; serious endocrine dysfunction; overt peripheral vascular disease; malfunction of vascular access; body weight exceeding 75 kg

Interventions

Treatment group

  • HF with high‐flux polyflux 21S filter

    • QB: 300 mL/min

Control group

  • HDF with high‐flux polyflux 14S filters

    • QB: 300 mL/min

    • QD: 500 mL/min

Total substitution volume: 60 L/patient/session

Treatment duration: 12 months

Outcomes

Intradialytic problems

  • Hypotension episode

  • Hypertension episode

  • Cardiac arrhythmias

  • Dyspnoea, fever cramps, headache, pruritus, nausea, vomiting

Interdialytic problems

  • Hypotension episode

  • Hypertension episode

  • Cardiac arrhythmias

  • Dyspnoea, fever cramps, headache, pruritus, nausea, vomiting

  • Insomnia, fatigue, abnormal thirst, diarrhoea, constipation

Other

  • Kt/V

  • B2 microglobulin

  • Ambulatory BP monitoring

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: commercial sponsor listed as author

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not stated; probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not stated; probably not done

Incomplete outcome data (attrition bias)
All outcomes

High risk

Not using intention‐to‐treat analysis; loss to follow‐up 6/39 (23%)

Selective reporting (reporting bias)

Unclear risk

No protocol of the study available

Other bias

High risk

Carry over effect might be present because of the cross‐over design; data at the end of first phase of treatment not available; commercial sponsor listed as author

Bammens 2004

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 2 weeks

Participants

  • Country: Germany

  • Setting: single centre

  • Stable chronic HD patients

    • Mean time on dialysis: 24.8 months

  • Number: 14

  • Sex (M/F): 10/4

  • Mean age ± SD: 66.6 ± 3.1 years

  • Exclusion criteria: not stated

Interventions

Treatment group 1

  • HDF with replacement solution at 40, 60, 80 and 100 mL/min in a post‐dilution mode

Treatment group 2

  • HDF with replacement solution at 80 mL/min in pre‐dilution mode

Both treatment groups

  • Duration of each session: 4 hours

  • Dialyser: Fresenius F80

  • QD: 600 mL/min

  • QB: 300 mL/min

  • HDF with replacement solution at 120 mL/min in post‐dilution mode, with a QB of 350 mL/min and an QD of 800 mL/min was also studied in 6 patients, 2 sessions each

Control group

  • HD high‐flux

    • Duration of each session: 4 hours

    • Dialyser: Fresenius F80

    • QD: 600 mL/min

    • QB: 300 mL/min

  • HD with a QB of 350 mL/min and an QD of 800 mL/min was also studied in 6 patients, 2 sessions each

Co‐interventions: NS

Outcomes

  • B2 microglobulin reduction ratio

  • URR

Notes

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: "Supported in part by the Fonds voor Wetenschappelijk Onderzoek (FWO) grant no. 1127602N; FX80 dialyzers were provided by Fresenius Medical Care, Bad Homburg, Germany."

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not stated; probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not stated; probably not done

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

No data about drop‐outs provided after different cross‐over phases; lost to follow‐up: 0/14

Selective reporting (reporting bias)

High risk

Data at the end of first phase of treatment not available

Other bias

High risk

Carryover effect present because of the cross‐over design; data not extractable for meta‐analysis

Basile 2001

Methods

  • Study design: cross‐over RCT

  • Study time frame: NS

  • Duration of follow‐up: 6 months/phase

Participants

  • Country: Italy

  • Setting: single centre

  • HD patients aged 18 to 75 years; routine use of EPO with no change in the 3 months preceding enrolment; rHuEPO dosage: < 120 IU/Kg/wk and EPO resistance index, 10 IU/kg/wk of Hb in the 3 months preceding enrolment; assurance from patients not to use EPO during the study; maintenance bicarbonate dialysis thrice‐weekly for at least 6 months previously with a cellulose dialyser; dialysis dosage > 1.2 of equilibrated single‐pool Kt/V; negligible residual renal function; no change in iron, folic acid, vitamin B12 or ACEi in the 3 months preceding the study

    • Mean time on dialysis: 53.2 months

  • Number (eligible/randomised/analysed): 23/15/10

  • Mean age: 59.9 ± 7.2 years

  • Gender (M/F): 6/4

  • Exclusion criteria: unstable conditions in the 3 months prior to the study; treatment with drugs affecting erythropoiesis; blood transfusion in the 3 months preceding enrolment

Interventions

Treatment group

  • Thrice weekly AFB with AN69 dialyser

    • Post‐dilution infusion at a rate of 2L/h

    • QB: approximately 300 mL/min

    • QD: approximately 500 mL/min

    • Infusion rate: 2 L/h

    • Duration: 6 months (run‐in period: 4 months)

Control group

  • Thrice‐weekly, low‐flux HD with cellulose acetate membrane

    • QB: approximately 300 mL/min

    • QD: approximately 500 mL/min

    • Duration: 6 months (run‐in period: 4 months)

Co‐interventions: NS

Outcomes

  • Kt/V

  • Mortality

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated; probably not done

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated; probably not done

Incomplete outcome data (attrition bias)
All outcomes

High risk

33% loss to follow‐up (5/15 patients whose Hb dropped at monthly checks were withdrawn from the study)

Selective reporting (reporting bias)

High risk

Data at the end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not available for meta‐analysis

Beerenhout 2005

Methods

  • Study design: parallel RCT

  • Study time frame: NS

  • Duration of follow‐up: 12 months

Participants

  • Country: Netherlands and Belgium

  • Setting: multi‐centre (2)

  • Chronic HD patients on dialysis for at least 3 months and with adequate arteriovenous access

    • Mean time on dialysis (months): treatment group (33); control group (24)

  • Number: treatment group (20); control group (20)

  • Mean age ± SD (years): treatment group (59 ±13); control group (58 ± 12)

  • Sex (M/F): treatment group (12/11); control group (16/4)

  • Exclusion criteria: CV morbidity defined as ejection fraction < 25% and/or coronary heart disease (NYHA Class 3‐4); severe intercurrent illness

Interventions

Treatment group

  • HF with high‐flux polyamide (Polyflux 24S) dialysers

Control group

  • HD with low‐flux polyamide (Polyflux 8S) dialysers

Outcomes

  • BP

  • URR

  • Kt/V

  • QoL

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: "This study was supported by a research grant from Gambro Corporate Research, Lund, Sweden."

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Low risk

Centrally and envelopes were used

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

Missing outcome data balanced across groups with similar reasons for missing data across groups but with 13/40 patients (32%) not included in the final analysis

Selective reporting (reporting bias)

Unclear risk

No protocol available

Other bias

High risk

Imbalanced ratio men/women between groups; interventions not matched; funded by industry

Bolasco 2003

Methods

  • Study design: parallel RCT

  • Study time frame: 2003 to 2008

  • Duration of follow‐up: 1.5 years; median 0.8 to 2.2

Participants

  • Country: Italy

  • Setting: multi‐centre

  • Chronic HD patients on dialysis for at least 6 months; aged 18 to 80 years; thrice‐weekly HD or HDF; body weight ≤ 90 kg

    • Mean time on dialysis: 3.0 (1.4 to 7.7) years

  • Number: 146

  • Age: Mean 67.4 years

  • Sex (M/F): 84/62

  • Exclusion criteria: malignancies, active systemic disease, active hepatitis or cirrhosis, instable diabetes, diuresis >200 mL/24 h, dysfunction of vascular access, with blood flow rate < 300 mL/min; clinically relevant infections, active systemic diseases

Interventions

Treatment group 1

  • HF with high‐flux polyamide dialysers

    • Infusate/blood flow ratio of 0.6

    • Dialysate infusate rate of 700 mL/min

Treatment group 2

  • HDF with high‐flux polyamide dialysers

    • Infusate/blood flow ratio of 0.6

    • Dialysate infusate rate of 700 mL/min

Control group

  • HD with low‐flux dialysers

    • Dialysate flow rate of 500 mL/min

Outcomes

  • BP control

  • Intradialytic symptomatic hypotension

  • Mortality

  • Kt/V

Notes

  • Exclusions post randomisation but pre‐intervention: 10 patients

  • Stop or end point/s: not stated

  • Additional data requested from authors: none

  • Funding source: "We thank Gambro‐Hospal for the logistic support given to the investigator meetings."

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Central computer generated: " randomisation list that was stratified by centre and prepared in advance by one author"

Allocation concealment (selection bias)

Unclear risk

Patients were centrally randomised using an email assignment from one of the authors

Blinding of participants and personnel (performance bias)
All outcomes

High risk

No blinding

Blinding of outcome assessment (detection bias)
All outcomes

High risk

No blinding

Incomplete outcome data (attrition bias)
All outcomes

High risk

10/146 (14%) withdrew from study due to transfer to another technique, thrombosis or vascular access infection, withdrawal of consent, transfer to another centre, transfer to another study, infection)

Selective reporting (reporting bias)

High risk

Key patient relevant outcomes not reported

Other bias

High risk

Interventions and patient characteristics not matched; industry support provided

Coll 2009

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 15 months

Participants

  • Country: Spain

  • Setting: multi‐centre (6 centres)

  • Chronic HD patients on dialysis for at least 3 months; age > 18 years; thrice‐weekly HD; stable regimen of anticoagulation and EPO; HCT > 28%; blood flow rate > 250 mL/min

    • Mean time on dialysis: 67 ± 57 (4 to 249) months

  • Number (enrolled/randomised/analysed): 35/30/21

  • Mean age ± SD: 62 ± 14 years

  • Sex (M/F): 20/15

  • Exclusion criteria: coagulation problems; survival rate < 18 months; diuresis > 400 mL/24h; CrCl > 2 mL/min

Interventions

Treatment group

  • Predilution HDF acetate‐free dialysate for 6 months, 3 to 4 hours, 3 times/week (611 free‐acetate, Bellco, Mirandola, Italy)

Control group

  • Predilution HDF with conventional bicarbonate dialysate for 6 months, 3 to 4 hours 3 times/week (Formula dialysis machine, Bellco, Mirandola, Italy)

Outcomes

  • Number of hypotensive episodes (fall in SBP < 95 mm Hg, associated with symptoms requiring the intervention of healthcare professionals)

  • HD tolerance (number of headaches episodes, pruritus, vomiting or cramps per month)

  • Variation of biochemical parameters

  • B2 microglobulin

Notes

  • Exclusions post randomisation but pre‐intervention: 5 patients

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, supplementary data about hypotensive events, other non‐reported outcomes

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Insufficient information, the method of concealment is not stated.

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

"no difference for dialysis tolerance between the groups"; no intention‐to‐treat analysis; lost to follow‐up (9; no clear description of drop‐outs, reasons or belonging)

Selective reporting (reporting bias)

High risk

Not all of the study's pre‐specified primary outcomes have been reported; data at the end of first phase of treatment not available

Other bias

High risk

Important difference between selected and analysed patients (e.g. dialysis vintage 249 months in the selected initial group versus 164 months in the analysed group); carry over effect present because of the cross‐over design

CONTRAST (Dutch) Study 2005

Methods

  • Study design: parallel RCT

  • Study time frame: June 2004 to January 2011

  • Duration of follow‐up: 3 years

Participants

  • Country: Canada, Netherlands, Norway

  • Setting: Multi‐centre, 28 centres

  • Patients treated by HD 2 or 3 times/week, for at least 2 months; able to understand the study procedures; willing to provide written informed consent

    • Mean time on dialysis: treatment group (2.8 ± 2.9); control group (3.0 ± 2.8)

    • Diabetes: treatment group (26%); control group (22%)

  • Number: treatment group (358); control group (356)

  • Mean age ± SD (years): treatment group (64.1 ± 14.0); control group (64.0 ± 13.4)

  • Sex (M/F): treatment group (224/144); control group (231/125)

  • Exclusion criteria: current age < 18 years; treatment by HDF or high‐flux HD in the 6 months preceding randomisation; severe noncompliance defined as non‐adherence to the dialysis prescription, a life expectancy; 3 months due to causes other than kidney disease; and participation in another clinical intervention study evaluating CV outcome

Interventions

Treatment group

  • Post‐dilution on‐line HDF; 2 or 3 times/week, target convection volume 6 L/h

Control group

  • Low‐flux HD 2 or 3 times/week

Both groups

  • Only biocompatible synthetic dialysers were used (Gambro or Fresenius products)

Outcomes

  • All‐cause mortality

  • Fatal and non‐fatal CV events

  • LVMi, carotid intima media thickness, aortic pulse wave velocity

  • Laboratory markers of endothelial dysfunction, micro‐inflammation, oxidative stress

  • Lipid profiles, uraemic toxins

  • QoL

  • Nutritional state

  • Anaemia management

  • Hospital admissions

  • BP and antihypertensive medication

  • Residual kidney function

  • Mineral bone disease

  • Parameters of treatment/treatment delivery (dialysis efficiency (Kt/V urea), blood flow, dialysate flow, ultrafiltration volume, (HDF) convection volume

Notes

  • Exclusions post randomisation but pre‐intervention: none

  • Stop or end point/s: 21 patients stopped for other reasons in the HDF group versus 32 patients in the HD group

  • Funding source: this study was partly supported by grants from Fresenius Medical Care, Gambro Healthcare, Baxter Healthcare Corporation and Roche Pharma AG

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Centrally by blocks

Allocation concealment (selection bias)

Unclear risk

Centrally

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not done: "Because of the nature of the intervention, it was not possible to blind the patients, the local study nurses, or the investigators to the treatment assignment."

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Adjudication committee unaware of treatment assignment

Incomplete outcome data (attrition bias)
All outcomes

Low risk

All the results are available

Selective reporting (reporting bias)

Low risk

All important outcomes are reported

Other bias

High risk

Interventions not matched between treatment groups; early termination due to futility; funded by industry

Cristofano 2004

Methods

  • Study design: parallel RCT

  • Study time frame: not stated

  • Duration of follow‐up: one dialysis session

Participants

  • Country: Italy

  • Setting: single centre

  • Chronic stable HD patients

    • Mean time on dialysis: not stated

  • Number: treatment group (6); control group (6)

  • Age: not stated

  • Sex (M/F): 6/6

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HDF

Control group

  • Low‐flux HD

Outcomes

  • B2 microglobulin (mg/L)

  • B2 microglobulin dialysate clearance

  • Other biochemical measurements

Notes

  • Abstract‐only publication

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation, details regarding blinding, allocation concealment, supplementary results data

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Computer generated

Allocation concealment (selection bias)

Unclear risk

The allocation was made by means of a computer generated sequence

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not stated. probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not stated, probably not done

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not sufficiently detailed

Selective reporting (reporting bias)

High risk

Insufficient information

Other bias

High risk

Abstract‐only publication

Ding 2002

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 12 months

Participants

  • Country: Italy

  • Setting: single centre

  • Stable maintenance HD patients

    • Mean duration on dialysis: 83.5 months

  • Number: 12

  • Sex (M/F): 8/4

  • Mean age ± SD: Mean 49.7 ± 11.3 years

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HDF treatments carried out using F‐60s high‐flux polysulfone dialysers

    • QB: 250 mL/min

    • QD: Pre‐dilution 620 mL/min, post‐dilution 720 to 740 mL/min

    • Infusion flow rate: pre‐dilution 180 mL/min, post‐dilution 60 to 80 mL/min

Control group

  • AFB was buffer free and acidosis was corrected with a 166 mEq/L sodium bicarbonate solution as the substitution fluid

    • QD: 500 mL/min

    • Infusion fluid rate: 25 to 30 mL/min

Co‐interventions: not stated

Outcomes

  • URR

  • B2 microglobulin reduction rate

Notes

  • Exclusions post randomisation: 3 patients violated the study protocol

  • Stop or end point/s: not stated

  • Additional data requested from authors: none requested

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"A second patient refused to finish post‐HDF and insisted that AFB be tried because of his unbearable shoulder"

Incomplete outcome data (attrition bias)
All outcomes

High risk

No intention‐to‐treat analysis; 3 patients violated the study protocol (one patient's fistula failed during the second month of pre‐HDF; one refused to finish post‐HDF; one patient had severe headache
accompanied by poorly controlled hypertension at the end of pre‐HDF shift and dropped out of the
study before starting post‐HDF modality)

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design

Eiselt 2000

Methods

  • Study design: parallel RCT

  • Study time frame: not stated

  • Duration of follow‐up: 12 months

Participants

  • Country: Czech Republic

  • Setting: Single centre

  • Regular HD patients

    • Mean duration of dialysis (months): treatment group (50 ± 40); control group (41 ± 20)

  • Number: treatment group (10); control group (10)

  • Mean age ± SD (years): treatment group (38 ± 9); control group (47 ± 10)

  • Sex (M/F): not stated

  • Exclusion criteria: presence of diabetes mellitus; infection or unstable clinical condition in the 3 months preceding commencement of study

Interventions

Treatment group

  • AFB, high‐flux polyacrylonitrile dialysers, 3 times/week

    • Mean dialysis session: 4 hours

    • Mean buffer solution infusion rate: 1.73 L/h

    • Duration: 12 months

Control group

  • HD, low‐flux dialysers, 3 times/week

    • Mean dialysis session: 4.2 hours

    • Duration: 12 months

Co‐interventions

  • rHuEPO (Hb 90 to 115 g/L)

  • IV iron

Outcomes

  • Kt/V

  • Mortality

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details about blinding

  • Funding: 'supported by grant 4002‐3 awarded by the Ministry of Health of the Czech Republic, and by research project n. 206032 (111400002) called Renal Replacement Therapy".

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Patients were randomised according to the cause of their underlying CKD

Allocation concealment (selection bias)

High risk

Inadequate: names were drawn from individual subgroups at the following ratios 1:1

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Insufficient data; no loss to follow‐up

Selective reporting (reporting bias)

High risk

Not all patient important outcomes reported

Other bias

High risk

Interventions and baseline patient characteristics not matched

ESHOL Study 2011

Methods

  • Study design: parallel RCT

  • Study time frame: May 2007 to October 2011

  • Duration of follow‐up: 3 years

Participants

  • Country: Spain

  • Setting: multi‐centre (27)

  • Patients aged ≥18 years; currently undergoing HD; clinical stability; stable vascular access

    • Mean time on dialysis ± SD (months): treatment group (47.4 ± 55); control group (50.3 ± 71)

    • Diabetes: treatment group (22.8%); control group (27.1)

  • Number: treatment group (456); control group (450)

  • Mean age ± SD (years): treatment group (64.56 ± 14.4); control group (66.36 ± 14.3)

  • Sex (M/F): treatment group (317/139); control group (289/161)

  • Exclusion criteria: chronic inflammatory diseases; liver cirrhosis; malignancies; chronic immunosuppressant or anti‐inflammatory use; dialysis through temporary catheter or single puncture

Interventions

Treatment group

  • Post‐dilution on‐line HDF 3 times/week

Control group

  • HD 3 times/week

Both groups

  • The length of dialysis sessions in each treatment modality was not modified

  • For patients on post‐dilution HDF, a minimum of 18 L/session replacement volume was requested

Outcomes

  • Survival

  • Intradialysis tolerance (symptomatic hypotension episodes, cramps, headache, fatigue and thoracic pain)

  • Hospitalisations for any reason

  • Dialysis adequacy (time average concentration, Kt/V, URR, nutrition parameters)

  • BP control

  • Anaemia, lipid metabolism and phosphate control

  • B2 microglobulin reduction ratio

Notes

  • Exclusions post randomisation but pre‐intervention: 33

  • Stop or end point/s: not stated

  • Funding: this study was partly supported by grants from Fresenius Medical Care and Gambro Healthcare

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

A central computerised random‐generator

Allocation concealment (selection bias)

Unclear risk

Centrally

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Open‐label study

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Open‐label study

Incomplete outcome data (attrition bias)
All outcomes

High risk

355/906 discontinued the study, 39% from the total number of included patients, 41% in the HDF arm

Selective reporting (reporting bias)

Low risk

All the prespecified outcomes were reported

Other bias

High risk

Commercial sponsor on authorship or involved in data management; interventions and baseline patient characteristics not matched

Fox 1993

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: one dialysis session

Participants

  • Country: USA

  • Setting: single centre

  • Stable patients on chronic HD; consent to participate in the study

    • Mean time on dialysis: 54 months

  • Number: 9 patients

  • Mean age ± SD: 63 ± 4 years

  • Sex (M/F): all male

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HF

    • QB: 400 mL/min

    • Exchange volume: 1/3 of body weight

    • Duration: one session

Control group

  • HD

    • QB: 250 to 300 mL/min

    • QD: 600 mL/min

    • Duration: one session

Co‐interventions: not stated

Outcomes

  • BP

  • Hypotensive episodes (systolic BP < 100 mm Hg)

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation and details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"by coin toss", an insecure method

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Insufficient data; no loss to follow‐up

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available, no protocol of the study available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis

Kantartzi 2013

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 3 months on each dialysis technique

Participants

  • Country: Greece

  • Setting: single centre

  • Age > 18 years, regular (for at least 3 months) HD 3 times/week

    • Mean time on dialysis: 31 ± 23.28 months

  • Number: 24

  • Mean age ± SD: 62 ± 13.34 years

  • Sex (M/F): 19/5

  • Exclusion criteria: not stated

Interventions

Treatment group 1

  • On‐line high‐flux HDF

Treatment group 2

  • High‐flux HDF with prepared bags of substitution (HDF)

Control group

  • Low‐flux conventional HD

Outcomes

  • QoL

  • Kt/V

  • B2 microglobulin

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Funding: not stated, "The authors report no conflicts of interest."

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Lost to follow‐up 2/24; no clear description of drop‐outs or reasons

Selective reporting (reporting bias)

High risk

Data at the end of first phase of treatment not available

Other bias

High risk

Carry over effect due to cross‐over design, interventions not matched

Karamperis 2005

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: one dialysis session on each dialysis technique

Participants

  • Country: Denmark

  • Setting: single centre

  • aged > 18 years; stable without severe clinical symptoms of heart failure (NYHA 0 – II); regular (for at least 3 months) HD, HDF or HF 3 times/week; possibility to ultrafiltrate approximately 3% of the body weight during dialysis; HCT > 30% and stable arterio‐venous fistula

    • Mean time on dialysis: 7 ± 7 years (range 0.5 to 20 years)

  • Number: 12

  • Mean age ± SD: 54 ± 13 years

  • Sex (M/F): 8/4

  • Exclusion criteria: body dry weight > 95 kg; intradialytic adverse events or hypotensive episodes requiring intervention in more than 1 dialysis session within 4 weeks; diabetes mellitus; acute MI within 3 months; angina pectoris; symptoms of severe heart failure (New York Heart Association Classes III – IV); cerebrovascular incident within 3 months; arterial hypertension (DBP > 110 mm Hg at the beginning of dialysis, during the last 3 weeks); cardiac arrhythmia; haemodynamic significant cardiac valve defect; noncompliant fluid intake; predialysis plasma Ca‐ion < 1.05 or > 1.40 mmol/L; infection; gastrointestinal haemorrhage; pregnancy; severe illness such as malignancy; alcohol or drug abuse and noncompliance or unwillingness to follow the protocol

Interventions

Treatment group

  • On‐line predilution HDF for one dialysis session, 4.5 hours/session (Fresenius 4008H dialysis console with high‐flux HDF100 S filters)

Control group

  • Low‐flux conventional HD for one dialysis session, 4.5 hours/session (Fresenius 4008H dialysis console with low‐flux F8 HPS filters)

Outcomes

  • Haemodynamic changes during dialysis session (hypotension, mean BP, cardiac output, stroke volume, cardiac work)

  • Kt/V

  • Total peripheral resistance

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation, allocation concealment, supplementary data about specific outcomes

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

"The treatment modality was blinded to the patient by use of filter types unknown to the patients and not ordinarily used in the department. The tubing was mounted as to haemodiafiltration in all sessions, and the indicators showing the treatment modality on the console were covered." Investigators not blinded

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated, probably not done

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not clearly stated that all patients that performed one dialysis have done the second dialysis session as well

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Study conducted in two consecutive dialysis sessions, "wash out effect" insufficient, carry over effect might be present because of the cross‐over design; data not extractable for meta‐analysis; interventions not matched

Lin 2001

Methods

  • Study design: parallel RCT

  • Study time frame: not stated

  • Duration of follow‐up: 15 months

Participants

  • Country: Taiwan

  • Setting: single centre

  • Chronic stable and anuric ESKD patients on HD for more than 6 months

  • Number: treatment group (38); control group (29)

  • Mean age ± SD (years): treatment group (55.0 ± 11.0); control group (53.7 ± 11.4)

  • Sex (M/F): treatment group (24/14); control group (18/11)

  • Exclusion criteria: unstable clinical condition

Interventions

Treatment group

  • On line HDF, 3 times/week with high‐flux F‐80 polysulfone dialyser

    • QB: > 250 mL/min

    • QD: 500 mL/min

Control group

  • High‐flux HD 3 times/week with polysulfone F80 dialysers

    • QB: > 250 mL/min

    • QD: 500 mL/min

Co‐interventions: not stated

Outcomes

  • Carpal tunnel syndrome

  • Intradialytic symptoms

  • Interdialytic symptoms

  • Intradialytic symptomatic hypotensive episodes

  • Drop in BP

  • Interdialytic patient well‐being score

  • Kt/V

  • URR

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

High risk

Inadequate: "We used partially randomised patient preference (PRPP) design by incorporating patient preferences into this randomised trials"

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Not stated, insufficient information

Selective reporting (reporting bias)

High risk

Outcome/s of interest reported incompletely and cannot be used in meta‐analysis; protocol of the study unavailable; failure to report a key/expected outcome (mortality, major CV events)

Other bias

Low risk

Not additional risks apparent

Locatelli 1994

Methods

  • Study design: parallel RCT

  • Study time frame: May 1991 to November 1992

  • Duration of follow‐up: 1 year

Participants

  • Country: Italy

  • Setting: multi‐centre

  • Aged 18 to 70 years; RRT for at least 2 months; on dialysis for > 3 months; regular HD 3 times/week; stable clinical condition

  • Number: treatment group 1 (50); treatment group 2 (54); treatment group 3 (51); treatment group 4 (50)

  • Mean age ± SD (years): treatment group 1 (50.5 ± 13.5); treatment group 2 (53.7 ± 12.9); treatment group 3 (56.0 ± 12.2); treatment group 4 (52.7 ± 12.9)

  • Sex (M): treatment group 1 (66%); treatment group 2 (72.2%); treatment group 3 (70.6%); treatment group 4 (80.0%)

  • Exclusion criteria: presence of malignant disease; MI in the previous 12 months; stroke or TIA in the previous 6 months; severe heart failure (NYHA class 3 or 4)

Interventions

Treatment group 1

  • Low‐flux HD with cuprophane membranes

Treatment group 2

  • Low‐flux HD with polysulfone membrane

Treatment group 3

  • High‐flux HD with polysulfone membrane

Treatment group 4

  • High‐flux HDF with polysulfone membrane

Co‐interventions: not stated

Outcomes

  • Mortality

  • B2 microglobulin levels

  • Number and length of hospitalisations

  • Kt/V

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: none requested

  • Funding: the steering committee, the data coding and collection and the secretariat of this study included employees of Fresenius Medical Department, Italy

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Adequate: "Randomization was centralized at the Department of Nephrology at Lecco Hospital, using separate lists for each Center that were randomly divided into blocks of four for the assignment of two or four treatments (depending on the treatments available in the different Centers)."

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

108/205 analysed (46%) (34% due to technical reasons, acute clinical reason, fistula‐related reason, treatment inadequacy)

Selective reporting (reporting bias)

High risk

Key outcomes not reported

Other bias

High risk

Interventions not matched and patient characteristics not matched at baseline; interventions and patient characteristics not matched; commercial sponsor involved in the conduct of this study

Lornoy 1998

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 1 dialysis session

Participants

  • Country: Belgium

  • Setting: single centre

  • Chronic anuric HD patients

    • Mean time on dialysis: 6.9 years

  • Number: 8

  • Mean age (range): 68.33 years (60 to 75)

  • Sex (M/F): not stated

  • Exclusion criteria: not stated

Interventions

Treatment group 1

  • HDF with replacement solution at 40, 60, 80 and 100 mL/min in a post‐dilution mode

Treatment group 2

  • HDF with replacement solution at 80 mL/min in pre‐dilution mode

Control group

  • HD

    • Duration of each session: 4 hours

    • Dialyser: Fresenius F80

    • QD: 600 mL/min

    • QB: 300 mL/min

Co‐interventions: not stated

Outcomes

  • B2 microglobulin clearance

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation and details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Low risk

0/8 lost to follow‐up

Selective reporting (reporting bias)

High risk

Insufficient information; protocol of the study not available; only data about B2 microglobulin were available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis

Mandolfo 2008

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 6 weeks

Participants

  • Country: Italy

  • Setting: multi‐centre (2)

  • Chronic HD patients on dialysis for at least 12 months; clinically stable; vascular access with blood flow rate < 300 mL/min (inadequate vascular access)

    • Mean time on dialysis: 62 ± 24.0 months

  • Number: 8

  • Mean age ± SD: 72.2 ± 4.8 years

  • Sex (M/F): 5/3

  • Exclusion criteria: presence of vascular access recirculation higher than 5% with a Qb of 250 mL/nub

Interventions

Treatment group

  •  Mid‐dilution HDF

    1. Dialysis machine Formula 2000 (Bellco, Italy)

    2. High‐flux filters Nephros OL‐pure MD190

 Control group

  • High‐flux HD

    1. Dialysis machine Formula 2000 (Bellco, Italy)

    2. High‐flux filters DIAPES BLS 819G

Outcomes

  • B2 microglobulin clearance

  • Dialysis adequacy (Kt/V)

  • Clinical tolerance

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Funding: work supported by a grant from Bellco Mirandola (Italy)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Centrally randomised

Allocation concealment (selection bias)

Unclear risk

Centrally randomised

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Probably not done

Incomplete outcome data (attrition bias)
All outcomes

Low risk

No loss to follow‐up

Selective reporting (reporting bias)

High risk

Key patient outcomes not provided

Other bias

High risk

Carry over effect present because of the cross‐over design; commercial sponsor involved in authorship or data management

Meert 2009

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 9 weeks

Participants

  • Country: Belgium

  • Setting: single centre

  • Chronic HD patients on dialysis for at least 6 months, age 18 to 85, clinically stable, at least one month on high‐flux HD, vascular access with blood flow rate ≥ 300 mL/min

    • Mean time on dialysis: 30.2 ± 36.0 months

  • Number (randomised/analysed): 17/14

  • Mean age ± SD: 63.5 ± 17.7 years

  • Sex (M/F): 7/7

  • Exclusion criteria: expected survival < 1 year; expected transplant < 1 year; infectious disease; pregnancy; chronic inflammation; treated with single needle; treated with HDF or low‐flux HD; expected intradialytic body weight gain ≥ 4 kg

Interventions

Treatment group

  •  Predilution HDF

    1. Dialysis machine AK 200 ULTRA S (Gambro, Sweden)

    2. High‐flux filters Polyflux 170 (Gambro, Lund, Sweden)

Control group 1

  • Predilution HF

    1. Dialysis machine AK 200 ULTRA S (Gambro, Sweden)

    2. High‐flux filters Polyflux 210 (Gambro, Lund, Sweden)

 Control group 2

  • Post dilution HDF

    • Not included in our analysis as no random allocation was described 

Outcomes

  • B2 microglobulin clearance

  • B2 microglobulin reduction ratio (%)

  • Other biochemical measurements

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: 1 patient due to lack of compliance

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Funding: this study was supported by Gambro Corporate and one of the authors is an employee of Gambro Corporate

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Insufficient information. probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Insufficient information. probably not done

Incomplete outcome data (attrition bias)
All outcomes

High risk

Missing outcome data; loss to follow‐up 3/17 (18%) (transplantation (2); lack of compliance (1))

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design; in the reported results is included a comparison between random and non‐randomly allocated groups; commercial sponsor involved in authorship or data management

Movilli 1996

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 6 months with each dialysis modality

Participants

  • Country: Italy

  • Setting: single centre

  • Patients on HD for ESKD for at least 3 months; stable clinical condition for at least 3 months prior to start of the study

  • Number: 12

  • Mean age ± SD: 76 ± 4 years

  • Sex (M/F): 7/5

  • Exclusion criteria: acute illness

Interventions

Treatment group

  • HDF for 6 months using AN69 membrane

    • Post‐dilution infusion rate: 66 mL/min

Control group

  • AFB with AN69 (Polyacrylonitrile) membrane for 6 months

    • Buffer infusion rate: 2.8 L/h

Co‐interventions: not stated

Outcomes

  • Intradialytic hypotension

  • Intradialytic symptoms

  • Kt/V

  • Hospitalisations

Notes

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

3/12 patients died

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design

Noris 1998

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 1 week

Participants

  • Country: Italy

  • Setting: single centre

  • Patients on regular bicarbonate HD for at least 12 months

  • Number: 5

  • Mean age ± SD: 57.6 ± 9.6 years

  • Sex (M/F): 3/2

  • Exclusion criteria: history or clinical evidence of unstable angina, MI, stroke or TIA; uncontrolled hypertension (diastolic BP > 100 mm Hg); severe systemic disease; on drugs known to affect haemostasis; fever or signs of acute infection, inactive immunological processes; hypersensitivity to dialysis membrane material

Interventions

Treatment group

  • AFB with AN69 (polyacrylonitrile) membrane, 3 times/wk

    • QB: 250 to 300 mL/min

    • QD: 500 mL/min

    • Buffer infusion rate: 2.2 L/h

Control group

  • Acetate and bicarbonate HD with AN69 (Polyacrylonitrile) membrane

    • QB: 250 to 300 mL/min

    • QD: 500 mL/min

Co‐interventions: not stated

Outcomes

  • Pre‐ and post‐dialysis systolic BP

  • Difference between in pre‐ and post‐dialysis systolic BP

  • Pre‐ and post‐dialysis diastolic BP

  • Difference between pre‐ and post‐dialysis BP

  • Pre‐ and post‐dialysis body weight

  • Difference between pre‐ and post‐dialysis body weight

  • Kt/V

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Missing outcome data balanced across groups; 0/5 lost to follow‐up

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available; no protocol of the study available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis and interventions not matched

Ohtake 2012

Methods

  • Study time frame: May 2007 to 2008

  • Study design: parallel RCT

  • Duration of follow‐up: 1 year

Participants

  • Country: Japan

  • Setting: single centre

  • CKD stage 5; aged 18 to 80 years; on dialysis < 6 months

    • Mean time on dialysis (months): treatment group (64.5 ± 38.2); control group (58.8 ± 64.4)

  • Number: treatment group (13); control group (9)

  • Mean age ± SD (years): treatment group (58.6 ± 11.3); control group (62.4 ± 7.7)

  • Sex (M/F): 15/7

  • Exclusion criteria: acute infection or hospitalizations within 4 weeks before study entry; functional failure of arteriovenous fistula with less than 5 mL/kg/min or more blood flow; malignancy, pregnancy, severely suppressed cardiac function (EF < 40%) and/or severe arrhythmia, and dialysis difficulty due to unstable intradialytic blood pressure status.

Interventions

Treatment group

  • On‐line, predilution HDF

    • High‐flux/Polyflux H membrane, treatments performed with the APSEx, Asahi Kasei Kuraray Medical Co. Ltd, Tokyo, Japan

Control group

  • High‐flux HD

  • High‐flux/Polyflux H membrane, treatments performed with the APSEx, Asahi Kasei Kuraray Medical Co. Ltd, Tokyo, Japan

Outcomes

  • Left ventricular systolic and diastolic functional markers

  • Pulse wave velocity

  • Ankle‐brachial pressure index and intima‐media thickness of carotid artery

  • Adequacy of dialysis, mean urea Kt/V

  • End of treatment B2 microglobulin levels (mg/L) pre‐dialysis

  • End of treatment blood pressure

  • Other changes in CV measurements (e.g. LVMi)

  • Other biochemical measurements

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Random number table

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Unclear; insufficient information provided about losses to follow‐up

Selective reporting (reporting bias)

High risk

Data about mortality events were missing

Other bias

Low risk

No additional risks identified

Pedrini 2011a

Methods

  • Study time frame: not stated

  • Study design: cross‐over RCT

  • Duration of follow‐up: 1 year

Participants

  • Country: Italy

  • Setting: multi‐centre (8)

  • Patients aged 18 to 80 years; stable HD treatment 3 times/week for at least 3 months and native or prosthetic arteriovenous fistula with an effective blood flow > 300 mL/min

    • Mean time on dialysis: 7.4 ± 7.1 years

  • Number (enrolled/randomised/analysed): 69/62/62

  • Mean age ± SD: 59.6 ± 12.9 years

  • Sex (M/F): 48/25

  • Exclusion criteria: malignancy with poor prognosis; congestive heart failure; acute myocardial infarction or stroke in the last 3 months; diabetes or lipid disorders treated pharmacologically

Interventions

Treatment group

  • On‐line HDF, 3 sessions/week

    • Mean blood flow: 348 ± 38 mL/min

    • Session length: 228 ± 22 min

Control group

  • Low‐flux HD, 3 sessions/week

    • Mean blood flow: 348 ± 38 mL/min

    • Session length: 228 ± 22 min

Outcomes

  • Mean urea clearance

  • Kt/V

  • Vitamin B12 clearance

  • B2 microglobulin levels

  • Ca‐P control

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: Method of randomisation, details regarding blinding, results after first phase of the cross ever study

  • Funding: "This trial was independently undertaken by the investigators. The expenses for the centralized analyses, performed at the Biochemistry Department of the Bolognini Hospital, Seriate, Italy, were covered by Fresenius Medical Care (FMC), Italy. Statistical analysis was conducted at the Institute of Health Sciences, University of Pavia, under the direction of Dr Mario Comelli in the context of a consultancy agreement between FMC and the University Institute"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"randomised by central telephone into a 1:1 ratio"

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Not performed

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Not performed

Incomplete outcome data (attrition bias)
All outcomes

High risk

10% lost for follow‐up, 4% due to access failures (unclear whether imbalanced between groups)

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design; commercial sponsorship on authorship or data management; interventions not matched

PROFIL Study 2011

Methods

  • Study design: parallel RCT

  • Study time frame: May 2000 to September 2005

  • Duration of follow‐up: 2 years

Participants

  • Country: Sweden and Denmark

  • Setting: multi‐centre (10)

  • CKD stage 5; aged 18 to 80 years; on dialysis < 3 months

    • Mean time on dialysis: not stated

  • Number (randomised/analysed): 48/34; treatment group (?/18); control group (?/16)

  • Mean age ± SD (years): treatment group (62 ± 11); control group (64 ± 13)

  • Sex (M/F): 24/10

  • Exclusion criteria: MI within 3 months; well‐defined unstable angina; severe cardiac valvular disease; severe cardiac failure (NYHA III–IV); disseminated malignancy; expected HD treatment < 1 year; expected need of central venous catheter > 3 months; body weight > 100 kg; participation in other studies; patient not willing/not able to undergo examinations according to protocol

Interventions

Treatment group

  • ∙ On‐line, predilution HF, 3 sessions/week, High‐flux/Polyflux H membrane, treatments performed with the AK 100/200 ULTRA (Gambro)

    • Mean blood flow: 325 ± 15 mL/min

    • Session length: 253 ± 4 min

    • Ultrafiltration volume: 38.5 ± 6 L/session

Control group

  • Low‐flux HD, 3 sessions/week, low‐flux membrane/Polyflux L (Gambro, Sweden), treatments performed with any HD machine

    • Mean blood flow 273 ± 6 mL/min

    • Session length 257 ± 6 min

Outcomes

  • All‐cause mortality

  • Intradialytic symptoms

  • Number of hospital admissions

  • Adequacy of dialysis, URR and urea Kt/V

  • End of treatment B2 microglobulin levels (mg/L) pre‐dialysis

  • End of treatment BP

  • Other changes in CV measurements (e.g. LVMi)

  • Other biochemical measurements

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: to be completed

  • Funding: commercial sponsorship

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"patients were randomised to treatment with either HF or HD using an online computer‐based program stratified by age and diabetes "

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Probably not done

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

Echocardiograms read by an observer blinded to treatment

Incomplete outcome data (attrition bias)
All outcomes

High risk

Missing outcome data balanced across groups but attrition is 29%; randomised (48), analysed (34), finished the 24 months follow‐up (17, 35%)

Selective reporting (reporting bias)

High risk

Study protocol available (ISRCTN83264534) and all pre‐specified outcomes have been reported. All key patient outcomes not provided

Other bias

High risk

Commercial sponsor on authorship and/or involved in data management, interventions not matched

Righetti 2010

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 18 months

Participants

  • Country: Italy

  • Setting: multi‐centre (2)

  • Chronic HD patients, at least 2 months on dialysis, on a regular treatment with ESA (alpha epoetin), iron gluconate and vitamin B

    • Mean time on dialysis: 48.7 ± 9.9 months

  • Number: 24

  • Mean age ± SD: 61.4 ± 2.9 years

  • Sex (M/F): 16/8

  • Exclusion criteria: patients with residual renal function; severe CV disease (left ventricular ejection fraction less than 30% and/or a NYHA heart disease classification of III‐IV); malignancy; basal albumin < 4 mg/dl.

Interventions

Treatment group

  • Internal HDF, high‐flux membrane TS1.8UL (Toraysulfone), treatments performed with the AK 200/200‐S ULTRA (Gambro), 3 sessions/week,

    • Mean blood flow: 326 ± 3 mL/min

    • Session length: 228 ± 22 min

    • Ultrafiltration volume: about 14 L/session

Control group

  • Low‐flux HD, low‐flux membrane BLS (Bellco, Italy) and Polyflux L (Gambro, Sweden); treatments performed with the AK 200/200‐S ULTRA (Gambro), 3 sessions/week

    • Mean blood flow: 335 ± 2 mL/min

    • Session length: 228 ± 22 min

Outcomes

  • Mean urea clearance (URR)

  • Urea Kt/V

  • End of treatment B2 microglobulin levels (mg/L) pre‐dialysis

  • Other biochemical measurements

Notes

  • Exclusions post randomisation but pre‐intervention: 4

  • Stop or end point/s: not stated

  • Additional data requested from authors: Method of randomisation; details regarding blinding

  • Funding: "None of the authors has any financial arrangements with any of the companies whose products were used in the study"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Centrally: "An independent person performed randomisation for the sequence of treatment. "

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Probably not done

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Missing outcome data balanced across groups but no intention‐to‐treat analysis

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available; insufficient information, no study protocol available

Other bias

High risk

Carry over effect present because of the cross‐over design; interventions not matched

Santoro 1999

Methods

  • Study time frame: March 1998 to December 2006

  • Study design: parallel RCT

  • Duration of follow‐up: 4 years

Participants

  • Country: European

  • Setting: multi‐centre (92)

  • Incident critically ill HD patients, defined as one of the following: elderly (> 60 years); hypotension prone (≥ 5 hypotensive episodes/month); diabetic; CV instability (defined as a frequency of hypotensive episodes in more than 20% of dialysis sessions, or independently of frequency, if hypotension is accompanied by angina or major arrhythmia's)

    • Mean time on dialysis: 6 to 8 months

  • Number: treatment group (177); control group (194)

  • Mean age ± SD (years): treatment group (66.9 ± 8.8); control group (67.1 ± 8.8)

  • Sex (M/F): treatment group (106/71); control group (112/82)

  • Exclusion criteria: older than 78 years; active neoplasia; severe cardiopathies (New York Heart Association [NYHA] Class III & Class IV); decompensating cirrhosis; poor vascular access function (pump flow < 200 mL/min or need for single needle system); previous continuous ambulatory peritoneal dialysis; treatment or kidney transplant; on waiting list for kidney transplant

Interventions

Treatment group

  • AFB conducted using the AN69 membrane, infusing a 145‐167mM sodium bicarbonate solution usually warmed to a temperature similar to that of the dialysate, at a rate targeting for a post‐dialysis plasma bicarbonate levels of 27 to 30 mEq/L 

Control group

  • BD, low‐ or high‐flux synthetic membranes and dialysate with bicarbonate and acetate concentrations of 30 to 34 mM and 4 to 6 mM, respectively, were used according to each centre practice patterns

Outcomes

  • Intradialytic CV instability (hypo or hypertensive episodes)

  • All‐cause mortality

  • CV mortality

  • Changes in predialysis BP

  • Left ventricular mass

  • Major CV event

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: 39 dropouts in the AFB arm and 38 dropouts in the BD arm

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"Randomisation was done centrally (with a computerized random‐number generator) using the balanced block randomisation technique with a 1:1 ratio, stratification according to the clinical centre concerned and a block size of eight"

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated, probably not done

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated, probably not done

Incomplete outcome data (attrition bias)
All outcomes

High risk

21% loss to follow‐up and dropouts censored at time of termination

Selective reporting (reporting bias)

High risk

Outcomes of interest are not reported

Other bias

High risk

Interventions not matched and patient baseline characteristics not matched

Santoro 2005a

Methods

  • Study design: parallel RCT

  • Study time frame: June 2001 to July 2005

  • Duration of follow‐up: 3 years

Participants

  • Country: Italian

  • Setting: multi‐centre (20)

  • Aged 16 to 80 years; dialysis treatment for at least 6 months with conventional HD; residual kidney function < 2 mL/min/1.73 m2; Charlson Comorbidity Index of 3 or higher; presence of CV instability during dialysis in at least 15% of sessions

    • Mean time on dialysis (months): treatment group (70.3 ± 11.3); control group (59.9 ± 10.9)

  • Number: treatment group (32); control group (32)

  • Mean age ± SD (years): treatment group (69.0 ± 1.3); control group (66.4 ± 1.8)

  • Sex (M/F): treatment group (14/18); control group (17/15)

  • Exclusion criteria: neoplasia; acute clinical conditions (MI, congestive heart failure, stroke, recent surgery, or severe sepsis) within 3 months of enrolment in the study; any vascular access dysfunction (patients with central catheters were admitted if blood flow rate was > 300 mL/min; residual urinary output > 200 mL/24 h; body weight > 75 kg

Interventions

Treatment group

  • Predilution on‐line HF, Poliflux 21S (Gambro), Gambro AK 100 Ultra; Gambro, Lund, Sweden

Control group

  • Bicarbonate HD, Poliflux 8L (Gambro),Gambro AK 100 Ultra; Gambro, Lund, Sweden

Outcomes

  • All‐cause mortality

  • Hospitalisation rate

  • Dialysis sessions with hypotension

  • Biochemical parameters and indicators of nutritional status

  • Adequacy of dialysis and B2 microglobulin removal

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Note: Dr Strippoli was one of the authors

  • Funding: none

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Patients were centrally randomised, 1:1 ratio

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"There was no blinding of participants, investigators, or outcome assessors."

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"There was no blinding of participants, investigators, or outcome assessors."

Incomplete outcome data (attrition bias)
All outcomes

High risk

20% withdrew from study due to personal reasons, transferred to another centre to centre not able to offer treatment (HF); imbalance between arms

Selective reporting (reporting bias)

High risk

Study protocol unavailable; outcomes of interest reported incompletely

Other bias

High risk

Baseline patient characteristics not matched

Schiffl 1992

Methods

  • Study design: parallel RCT

  • Study time frame: not stated

  • Duration of follow‐up: 48 months

Participants

  • Country: Germany

  • Setting: single centre

  • Patients on HD for ESKD

  • Number: treatment group (8); control group (24)

  • Age range: 28 to 69 years

  • Sex (M/F): 12/18

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HF treatments carried out using F‐60s high‐flux polysulfone dialysers

    • QB: 250 mL/min

    • QF: pre‐dilution 620 mL/min, post‐dilution 720 to 740 mL/min

    • Infusion flow rate: pre‐dilution 180 mL/min, post‐dilution 60 to 80 mL/min

Control group

  • Dialysate in AFB was buffer‐free and acidosis was corrected with a 166 mEq/L sodium bicarbonate solution as the substitution fluid

  • QD: 500 mL/min

  • Infusion fluid rate: 25 to 30 mL/min

Co‐interventions: not stated

Outcomes

  • Pre‐dialysis B2 microglobulin levels

  • Dialysate B2 microglobulin levels

  • Mortality

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation and details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Insufficient information

Selective reporting (reporting bias)

High risk

Limited amount of data reported for a 2 year study

Other bias

High risk

Data not extractable for data analysis, intervention not matched

Schiffl 2007

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 4 years (24 months plus 24 months)

Participants

  • Country: Germany

  • Setting: single centre

  • Clinically stable ESKD patients for at least 6 months; treated thrice weekly with conventional HD, permanent and functional vascular access with a blood flow rate ≥ 250 mL/min

    •  Mean time on dialysis: 26 months (9 to 280)

  • Number: treatment group (38); control group (38)

  • Mean age ± SD (years): treatment group (63 ± 9); control group (59 ± 10)

  • Sex (M/F): treatment group (22/16); control group (20/18)

  • Exclusion criteria: patients with a malignancy, severe comorbidity (heart failure NYHA class III‐IV, liver cirrhosis, chronic inflammatory or infectious diseases, diabetic foot and dementia)

Interventions

Treatment group

  • On‐line HDF, 3 times/week, 4 to 5 hours (mean 254 + 25 min); polysulfone F80 (Fresenius), MTS 4008 H (Fresenius)

    • Blood flow rate range: 250 to 350 mL/min

    • Volume of substitution fluid 4.5L/h

Control group

  • Ultrapure high‐flux HD, 3 times/week, 4 to 5 hours (mean 254 + 25 min), high‐flux polysulfone F60 (Fresenius), MTS 4008, Fresenius

    • Blood flow rate range: 250 to 350 mL/min

    • Ultrapure dialysis fluid produced with an endotoxin absorbing membrane (Diasafe, Fresenius Medical Care)

Outcomes

  • All‐cause mortality

  • CV stability (hypotensive episodes)

  • QoL

  • Calcium phosphate homeostasis

  • Nutritional status

  • Anaemia control

  • Biochemical tests (dialysis adequacy, B2 microglobulin)

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

"by coin flip", an insecure method

Allocation concealment (selection bias)

High risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Unblinded'

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"Unblinded'

Incomplete outcome data (attrition bias)
All outcomes

Low risk

3% loss to follow‐up due to move away from dialysis centre; similar in both groups

Selective reporting (reporting bias)

High risk

Outcomes of interest not reported

Other bias

Low risk

Carry over effect present because of the cross‐over design but we included in our analysis only the data available about the first phase of the study

Schrander vd Meer 1998

Methods

  • Study design: parallel RCT

  • Time‐frame: not stated

  • Duration of follow‐up: 12 months

Participants

  • Country: Netherlands

  • Setting: single centre

  • Patients on stable bicarbonate HD for at least 1 year

  • Number: treatment group (11); control group (9)

  • Mean age (years): treatment group (64.2); control group (66.3)

  • Sex (M/F): treatment group (8/3); control group (6/3)

  • Exclusion criteria: diabetes mellitus

Interventions

Treatment group

  • AFB with a biocompatible high‐flux membrane (polyacrylonitrile crystal 2800 or 3400)

    • Buffer solution infusion rate: 1.8 L/h

Control group

  • Bicarbonate HD with a biocompatible high‐flux membrane (polyacrylonitrile crystal 2800 or 3400)

Co‐interventions: not stated

Outcomes

  • Pre‐dialysis MAP

  • Percentage of dialysis sessions with hypotension

  • Kt/V/week

  • Mortality

Notes

  • Exclusions post randomisation: 4 patients (1 received kidney transplantation, 1 developed allergy to the AN69 membrane, 1 patient refused to take medication and 1 patient complained of arthritis whilst on AFB)

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: "This study was supported by a grant from the Dutch Kidney Foundation (grant number C 94–1417)"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Each pair of patients was randomised to either AFB or HD

Allocation concealment (selection bias)

Unclear risk

Insufficient information

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

13% lost to follow‐up due to allergy, refusal or side‐effects. Unclear whether imbalance between groups

Selective reporting (reporting bias)

High risk

Not all the expected outcomes were reported

Other bias

Low risk

No additional risks identified

Selby 2006a

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 4 weeks

Participants

  • Country: UK

  • Setting: single centre

  • Chronic HD patients hypotension‐prone (6 patients) or stable on HD

    • Mean time on dialysis: 39.5 ± 18.7 months

  • Number: 12

  • Mean age ± SD: 68 ± 11.2 years

  • Sex (M/F): 10/2

  • Exclusion criteria: Hb < 10 g/dL, or if they had significant comorbidity that, in the opinion of the investigator, would make completion of the study unlikely

Interventions

Treatment group

  • Acetate‐free HDF

    • Dialysis machine Formula 2000 (Bellco, Italy)

    • “Diapes polyether sulphone double chamber dialyzers consisting of a combined 1.9 m2 dialyzer and 0.7 m2 ultrafilter (Bellco, Mirandola, Italy)

Control group

  • Low‐flux standard HD

    • Dialysis machine Formula 2000 (Bellco, Italy)

    • Low‐flux filters LOPS 18/20 (Braun Medical Ltd., UK)

Outcomes

  • Changes in BP

  • Cardiac function measurements (stroke volume, cardiac output), and total peripheral resistance in response to HD)

  • Clinical tolerance/ Intradialytic hypotension

  • Changes in cardiac troponin T

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment

  • Funding: "The authors gratefully acknowledge Bellco, who provided the consumables and dialysis monitors for this study"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Probably not done

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Probably not done

Incomplete outcome data (attrition bias)
All outcomes

High risk

Insufficient reporting

Selective reporting (reporting bias)

High risk

Study protocol unavailable and data for end of first phase of treatment not available

Other bias

High risk

Patients included were selected using two different inclusion criteria (prone to hypotension or stable patients) with no clear description of the initial number of analysed number. Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis and interventions not matched

Stefansson 2012

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 4 months (2 months for phase 1 and 2 months for phase 2)

Participants

  • Country: Sweden

  • Setting: single centre

  • Chronic HD patients on dialysis for at least 3 months, >18 years, either on HD or HDF

  • Number: 20

  • Mean age ± SD: 60 ± 13.6 years

  • Sex (M/F): 14/6

  • Exclusion criteria: not in stable condition, with any signs of acute inflammation, infection or CV disease

Interventions

Treatment group

  • HDF in on‐line post‐dilution mode with AK 200 Ultra dialysis machines (Gambro, Lund, Sweden)

Control group

  • Low‐flux HD with Polyflux 17 L filters and AK 200 Ultra dialysis machines (Gambro, Lund, Sweden)

Outcomes

  • Number of hypotensive episodes

  • HD tolerance

  • End of treatment BP control

  • B2 microglobulin

  • QoL and health questionnaire

  • Dialysis efficacy

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: 1 patient in the HDF arm

  • Additional data requested from authors: supplementary results, method of randomisation; details regarding blinding, allocation concealment

  • Funding: "This study was supported by the Swedish Medical Research Council 9898, the Inga‐Britt and Arne Lundberg Research Foundation, the John and Brit Wennerström Research Foundation, the Medical Association of Gothenburg, and the Sahlgrenska University Hospital Grant LUA/ALF"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Low risk

"The study was patient‐blinded and partially investigator‐blinded"

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

The interviewers did not know which treatment was performed

Incomplete outcome data (attrition bias)
All outcomes

High risk

20% loss to follow‐up (pain, intracerebral bleeding, patient request, and dialysis access problems)

Selective reporting (reporting bias)

High risk

Study protocol unavailable; outcomes of interest not all reported

Other bias

High risk

Carry over effect present because of the cross‐over design; interventions not matched

Teo 1987

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 8 months

Participants

  • Country: Canada

  • Setting: single centre

  • Maintenance HD for at least 6 months

  • Number: 13

  • Sex (M/F): 9/4

  • Mean age ± SEM: 36.5 ± 2.9 years

  • Exclusion criteria: presence of systemic diseases other than that which caused the CKD; coronary artery disease, heart failure, pericardial effusion

Interventions

Treatment group

  • HDF carried out using F‐60s high‐flux polysulfone dialysers

    • QB: 250 mL/min

    • QF: pre‐dilution 620 mL/min; post‐dilution 720 to 740 mL/min

    • Infusion flow rate: pre‐dilution 180 mL/min; post‐dilution 60 to 80 mL/min

Control group

  • Dialysate in AFB was buffer‐free and acidosis was corrected with a 166 mEq/L sodium bicarbonate solution as the substitution fluid

    • QD: 500 mL/min

    • Infusion fluid rate: 25 to 30 mL/min

Co‐interventions: not stated

Outcomes

  • BP

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: none requested

  • Funding: "This study was supported by the Grant 7219 from the Special Services and Research Committee of University of Alberta Hospitals and from a grant from Hospal Canada Ltd"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

15% loss to follow‐up (declined by patient and personal reasons)

Selective reporting (reporting bias)

High risk

Study protocol unavailable but no data available to be included

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis, interventions not matched

Todeschini 2002

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 3 dialysis sessions

Participants

  • Country: Italy

  • Setting: single centre

  • Stable patients on HD 3 times/week; HCT > 30%; informed consent

  • Number: 9

  • Age: Mean 63.6 ± 7.2 years

  • Sex (M/F): 3/6

  • Exclusion criteria: uncontrolled hypertension (diastolic BP > 100 mm Hg); clinical evidence of unstable angina pectoris; on drugs known to affect haemostasis; evidence of acute illness or neoplasia

Interventions

Treatment group

  • AFB with a biocompatible high‐flux polyacrylonitrile (AN69) membrane for 3 sessions

    • QB: 300 mL/min

    • QD: 500 mL/min

    • Duration of each dialysis session: 240 min

Control group

  • Bicarbonate HD with a biocompatible high‐flux polyacrylonitrile membrane (AN69) membrane

  • QB: 300 mL/min

  • QD: 500 mL/min

  • Duration of each dialysis session: 240 min

Co‐interventions: not stated

Outcomes

  • Kt/V

  • Pre‐ and post‐dialysis systolic BP

  • Difference between pre‐ and post‐dialysis systolic BP

  • Pre‐ and post‐dialysis diastolic BP

  • Difference between pre‐ and post‐dialysis diastolic BP

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: none stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Unclear; no loss to follow‐up

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis

Tuccillo 2002

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 3 months

Participants

  • Country: Italy

  • Setting: single centre

  • Diuresis < 200 mL during interdialysis period; clinically stable; permanent vascular access; no diabetes, liver cirrhosis or oedema

  • Number: 12

  • Sex (M/F): 7/5

  • Mean age ± SD: 53 ± 4 years

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HDF with polysulfone Fresenius F8 1.8 m2 dialysis membrane, PMMA Filter B3‐2, 2 m2

    • Duration: 1 session in the acute phase, 3 months in the chronic phase

    • QB: 315 to 345 mL/min

    • QD: 500 mL/min

Control group

  • HD with polysulfone Fresenius F8 1.8 m2 dialysis membrane, PMMA Filters B3‐2, m2

    • Duration: 1 session in the acute phase, 3 months in the chronic phase

    • QB: 315 to 345 mL/min

    • QD: 500 mL/min

Co‐interventions: not stated

Outcomes

  • Kt/V

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: none requested

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Low risk

No blinding but review authors judge that outcome measurement not likely influenced

Incomplete outcome data (attrition bias)
All outcomes

Unclear risk

Short duration of study, < 10% attrition

Selective reporting (reporting bias)

High risk

Data for end of first phase of treatment not available

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis; abstract only publication

TURKISH HDF 2013

Methods

  • Study design: parallel RCT

  • Study time frame: January 2007 to March 2010

  • Duration of follow‐up: 2 years

Participants

  • Country: Turkey

  • Setting: multi‐centre (10)

  • Aged > 18 years on maintenance bicarbonate HD scheduled thrice weekly 12 h/week, achieved mean single pool Kt/V above 1.2; willingness to participate in the study with a written informed consent

    • Mean time on dialysis: 57.9 ± 13.9 months

    • Diabetes: 34.7%

  • Number: treatment group (391); control group (391)

  • Mean age ± SD (years): treatment group (56.4 ± 13.0); control group (56.5 ± 14.9)

  • Sex (F): treatment group (40.4%); control group (41.9%)

  • Exclusion criteria: scheduled for living donor renal transplantation; serious life‐limiting co‐morbid situations, namely active malignancy, active infection, end‐stage cardiac, pulmonary, or hepatic disease; pregnancy or lactating; Current requirement for HD more than 3 times/week due to medical comorbidity; GFR > 10 mL/min/1.73 m2 as measured by the average of urea and CrCl obtained from a urine collection of at least 24 hours; use of temporary catheter; insufficient vascular access (blood flow rate < 250 mL/min); urine output > 250mL/d; mental incompetence

Interventions

Treatment group

  • Post‐dilution on‐line HDF, 3 times/week, 4 hours; FX series high‐flux helixone membranes used; ONLINEplus integrated Fresenius 4008S machines

  • Duration of each session: 240 minutes

  • Blood flow rates: 250 to 400 mL/min

  • Substitution volume > 15 L

Control group

  • High‐flux HD, 3 times/week, 4 hours; FX series high‐flux helixone membranes used

    • Duration of each session: 240 minutes

    • Blood flow rates: 250 to 400 mL/min

Outcomes

  • Composite of overall mortality and new CV events to include MI, stroke, revascularization, and unstable angina pectoris requiring hospitalisation

  • CV mortality

  • Hospitalisation rate

  • Intradialytic complications including hypotension and cramp

  • Health‐related QoL, depression burden, cognitive function

  • Required medications

  • Changes in BP, left ventricular geometry, arterial stiffness, post‐dialysis body weight, upper mid‐arm circumference, HCT and related rHuEPO doses, the levels of phosphorus, albumin, lipid parameters, C‐reactive protein, and B2 microglobulin

  • Postdialysis total body water determined by bioimpedance analysis

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding, allocation concealment, supplementary data/results

  • Funding: "Sponsors and Collaborator‐Fresenius Medical Care North America"

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

High risk

Open‐label

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Open label

Incomplete outcome data (attrition bias)
All outcomes

High risk

20% loss to follow‐up plus imbalance in loss to follow‐up due to vascular access problems

Selective reporting (reporting bias)

Low risk

Study protocol available and all patient important outcomes were reported

Other bias

High risk

Commercial sponsorship of study

Vaslaki 2006

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 48 weeks (24 weeks for phase 1 and 24 weeks for phase 2)

Participants

  • Country: Hungary

  • Setting: multi‐centre (7)

  • Chronic adult HD patients on dialysis for at least 3 months

  • Number: 129

  • Mean age ± SD: 62.3 ± 12.4 years

  • Sex (M/F): 24/46

  • Exclusion criteria: pregnancy; lactation; infectious disease; simultaneous participation in another clinical study

Interventions

Treatment group

  • On‐line HDF; high‐flux polysulfone dialysers, 4008 HD machines form Fresenius Medical Care

    • Mean volume of substitution fluid: 20.3 ± 3.0 L

Control group

  • Low‐flux HD; polysulfone dialysers, HPS series and 4008 HD machines, Fresenius Medical Care

Outcomes

  • Number of intradialytic morbid events (e.g. symptomatic hypotension, muscle cramps, dizziness, nausea, headache) requiring the intervention of healthcare professionals

  • Intradialytic hypotension

  • Variation of biochemical parameters (e.g. anaemia status, inflammation status)

  • Dialysis adequacy

  • B2 microglobulin

Notes

  • Exclusions post randomisation but pre‐intervention: unclear

  • Stop or end point/s: 39 withdraws (Kt/V < 1.2 in the first 3 weeks of the study)

  • Additional data requested from authors: no

  • Funding: commercial sponsor involved in authorship and data management

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

A random code was used, with a separate list for each study centre

Allocation concealment (selection bias)

Unclear risk

Centrally performed by an independent institute

Blinding of participants and personnel (performance bias)
All outcomes

High risk

"Open"

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"Open"

Incomplete outcome data (attrition bias)
All outcomes

High risk

46% lost and dropped out patients "not replaced"; lost to follow‐up: 20 drop‐outs (4 died, 11 were transplanted and other reasons for 5) and 49 withdrawn patients

Selective reporting (reporting bias)

High risk

Insufficient information about patient important outcomes

Other bias

High risk

Commercial sponsor involved in authorship and data management; interventions not matched

Verzetti 1998

Methods

  • Study design: cross‐over RCT

  • Study time frame: not stated

  • Duration of follow‐up: 1 year, 6 months for each phase

Participants

  • Country: Italy

  • Setting: multi‐centre

  • Stable patients with diabetic kidney disease who had received HD for at least 3 months

  • Number: 41

  • Mean age ± SD: 60 ± 10 years

  • Sex (M/F): 17/24

  • Mean duration on dialysis: 25 months

  • Exclusion criteria: neoplasia; severe cardiopathy; liver disease; marked nutritional disorders

Interventions

Treatment group

  • AFB using polyacrylonitrile (AN69) membrane for 6 months

    • QB: 250 to 300 mL/min

    • QD: 500 mL/min

    • Dialysis duration: 180 to 240 min

    • Mean amount of fluid exchange: 13.5 L/session

Control group

  • Bicarbonate HD with cuprophane membrane for 6 months

    • QB: 250 to 300 mL/min

    • QD: 500 mL/min

    • Dialysis duration: 180 to 240 min

Co‐interventions: not stated

Outcomes

  • Intradialytic symptoms

  • Intradialytic hypotensive episodes

  • Kt/V

  • Mortality

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

20% loss to follow‐up

Selective reporting (reporting bias)

High risk

Outcome/s of interest reported incompletely, cannot be used in meta‐analysis; "Intradialysis status P = 0.003"; study protocol unavailable

Other bias

High risk

Carry over effect present because of the cross‐over design; data not extractable for meta‐analysis and interventions not matched

Ward 2000

Methods

  • Study design: parallel RCT

  • Time‐frame: 6 months

  • Duration of follow‐up: 12 months

Participants

  • Country: Germany

  • Setting: single centre

  • Stable chronic HD patients on dialysis for at least 2 months; permanent dialysis access capable of delivering a blood flow rate of at least 250 mL/min

  • Number: treatment group (24); control group (21)

  • Mean age ± SD (years): treatment group (61 ± 3); control group (52 ± 3)

  • Sex (M/F): treatment group (15/9); control group (14/7)

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HDF with high‐flux polyamide membrane for 12 months

    • Substitution solution infusion rates: 65 to 85 mL/min

Control group

  • HD with high‐flux polyamide membrane for 12 months

    • QD: 500 mL/min

Co‐interventions: not stated

Outcomes

  • B2 microglobulin clearance

  • Kt/V

  • QoL Index

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: none stated

  • Additional data requested from authors: method of randomisation; details regarding blinding; groups to which patients who died belonged

  • Funding: not stated

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

High risk

Each pair of patients was randomised to either AFB or HD

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

22% patients lost‐to‐follow‐up

Selective reporting (reporting bias)

High risk

All outcomes of interest not reported

Other bias

High risk

Patient baseline characteristics not matched

Wizemann 2000

Methods

  • Study design: parallel RCT

  • Study time frame: not stated

  • Duration of follow‐up: 48 months

Participants

  • Country: Germany

  • Setting: single centre

  • Chronic HD patients on dialysis with low‐flux HD for at least 3 months

  • Number: treatment group (23); control group (21)

  • Mean age ± SD (years): treatment group (61 ± 12); control group (60 ± 11)

  • Sex (M/F): treatment group (12/11); control group (13/8)

  • Exclusion criteria: not stated

Interventions

Treatment group

  • HDF with high‐flux polysulfone (Fresenius F‐80S) membranes for 24 months

    • QD: 100 to 200 mL/min

    • Duration of each dialysis session: 4.5 hours

    • Total substitution fluid volume was targeted to 60 L/session

Control group

  • HD with low‐flux polysulfone (Fresenius F8) membranes for 24 months

    • QB: 400 to 500 mL/min

    • QD: 500 mL/min

    • Dialysis duration: 4.5 hours

Co‐interventions: not stated

Outcomes

  • B2 microglobulin reduction ratio

  • URR

Notes

  • Exclusions post randomisation but pre‐intervention: not stated

  • Stop or end point/s: not stated

  • Additional data requested from authors: method of randomisation; details regarding blinding; raw data for B2 microglobulin values

  • Funding: sponsor involved in authorship and/or data management

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Unclear risk

Not stated

Allocation concealment (selection bias)

Unclear risk

Not stated

Blinding of participants and personnel (performance bias)
All outcomes

Unclear risk

Not stated

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

Not stated

Incomplete outcome data (attrition bias)
All outcomes

High risk

18% loss to follow‐up

Selective reporting (reporting bias)

High risk

Study protocol unavailable and outcomes of interest reported incompletely, cannot be used in meta‐analysis (e.g. BP)

Other bias

High risk

Sponsor involved in authorship and/or data management; interventions not matched

ACEi ‐ angiotensin‐converting enzyme inhibitor; AFB ‐ acetate‐free biofiltration; BD ‐ conventional bicarbonate dialysis; BP ‐ blood pressure; CKD ‐ chronic kidney disease; CrCl ‐ creatinine clearance; CV ‐ cardiovascular; EPO ‐ erythropoietin; ESKD ‐ end‐stage kidney disease; Hb ‐ haemoglobin; HCT ‐ haematocrit; HD ‐ haemodialysis; HF ‐ haemofiltration; HDF ‐ haemodiafiltration; HTN ‐ hypertension; LVMi ‐ left ventricular mass index; MAP ‐ mean arterial pressure; MI ‐ myocardial infarction; QB ‐ blood flow rate; QD ‐ dialysate flow rate; QoL ‐ quality of life; rHuEPO: recombinant human EPO; RRT ‐ renal replacement therapy; TIA ‐ transient Ischaemic attack; URR ‐ urea reduction ratio

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Adam 1996

Population included not relevant to this review (patients with acute kidney injury

Ahrenholz 1997

Not RCT

Ahrenholz 1998

Not RCT

Ahrenholz 2004

Not RCT; interventions not relevant to this review

Altieri 1997

Not RCT

Altieri 1999

Not RCT

Altieri 2000

Not RCT

Altieri 2001

Not RCT

Baldamus 1980

Not RCT

Baldamus 1982

Not RCT

Baldamus 1985

Not RCT

Baragett 2003

Not RCT

Basile 1985

Not RCT

Basile 1985a

Not RCT

Basile 1987

Interventions not relevant to this review

Basile 1988

Outcomes not relevant to this review

Bazzatto 1988

Outcomes not relevant to this review

Beerenhout 2002

Not RCT

Bolasco 2000

Not RCT

Bonaudo 1998

Interventions not relevant to this review

Bonomini 2004

Outcomes not relevant to this review

Bordin 2002

Not RCT

Bosc 1997

Interventions not relevant to this review

Bosc 1998

Interventions not relevant to this review

Boscticardo 1981

Not RCT

Brink 1995

Not RCT

Calo 2007

Outcomes not relevant to this review

Canaud 1994

Not RCT

Canaud 2000

Not RCT

Canaud 2001

Not RCT

Cappelli 1985

Not RCT

Carozzi 1992

Not RCT

Cavalcanti 2004

Not an RCT

Cerulli 2000

Outcomes not relevant to this review

Champagne 2008

Outcomes not relevant to this review

Chanard 1988

Not RCT

Chang 1979

Not RCT

Chauveau 1993

Outcomes not relevant to this review

Chen 2005c

Not RCT

Chiappini 2004

Interventions not relevant to this review

Cirillo 2011

Interventions not relevant to this review

Collins 1985

Not RCT

David 2000

Not RCT

Duranti 2004

Not RCT

Feliciani 2007

Interventions not relevant to this review

Fu 2006

Not RCT

Gerdemann 2002

Interventions not relevant to this review

Giannattasio 2006

Interventions not relevant to this review

Harzallah 2008

Interventions not relevant to this review

Hdez‐Jaras 1994

Outcomes not relevant to review

Henderson 1980

Not RCT

Higuchi 2004

Outcomes not relevant to review

Hillion 1997

Interventions not relevant to this review

Hmida 2002

Not RCT

Ikebe 2006

Interventions not relevant to this review

Jahn 1981

Not RCT

Jose 2008

Outcomes not relevant to this review

Joyeux 2009

Outcomes not relevant to this review

Kanter 2008

Interventions not relevant to this review

Katschnig 1980

Not RCT

Kim 2009

Interventions not relevant to this review

Kishimoto 1980

Not RCT

Klemm 1997

Not RCT

Klingel 2004

Outcomes not relevant to review

Krieter 2005

Interventions not relevant to this review

Krieter 2008a

Interventions not relevant to this review

Krieter 2010

Interventions not relevant to this review

Kuno 1994

Not RCT

Leber 1980

Not RCT

Li 1997

Interventions not relevant to this review

Lin 2003a

Outcomes not relevant to this review (serum AGE level reduction rates)

Liomin 1984

Not RCT

Locatelli 1998

Not RCT

Locatelli 1999

Not RCT

Locatelli 2001

Not RCT

Locatelli 2002

Not RCT (review article)

Lornoy 1998a

Not RCT

Lornoy 2001

Interventions not relevant to this review

Maeda 1990

Not RCT

Maggiore 2000

Not RCT (review article)

Maheshwari 2012

Interventions not relevant to this review

Malberti 1991

Not RCT

Mastrangelo 1986

Not RCT

Mesic 2011

Interventions not relevant to this review

Minutolo 2002

Interventions not relevant to this review

Mioli 1986

Not RCT

Mishkin 2002

Not RCT

Mohini 1989

Interventions not relevant to this review

Morena 2006

Interventions not relevant to this review

Movilli 2011

Not RCT

Mrowka 1993

Interventions not relevant to this review

Nakazawa 1997

Not RCT

Ohyama 1981

Not RCT

Pacitti 1993

Not RCT

Panichi 1994

Not RCT

Panichi 1998

Not RCT

Panichi 2006

Interventions not relevant to this review

Pedrini 1999

Interventions not relevant to this review

Pedrini 2006

Interventions not relevant to this review

Pedrini 2009

Interventions not relevant to this review

Pedrini 2011

Interventions not relevant to this review

Petras 2005

Interventions not relevant to this review

Pizzarelli 2004

Outcomes not relevant to this review

Quellhorst 1983

Not RCT

Quellhorst 1983a

Not RCT

Ragazzoni 2004

Interventions not relevant to this review

Ramunni 2006

Interventions not relevant to this review

Rius 2007

Interventions not relevant to this review

Ronco 2000

Interventions not relevant to this review

Sakurai 1990

Interventions not relevant to this review

Santoro 2005

Interventions not relevant to this review

Santoro 2008

Interventions and outcomes not relevant to this review

Savoldi 2004

Outcomes not relevant to this review

Shaldon 1998

Not RCT

Sidoti 2004

Interventions not relevant to this review

Sirolli 2004

Outcomes not relevant to review

Spongano 1992

Not RCT

Strujic 2006

Not RCT

Susantitaphong 2008

Interventions not relevant to this review

Timio 1986

Outcomes not relevant to this review

Tomo 2004

Outcomes not relevant to review

Umimoto 2000

Not RCT

Vantelon 1977

Not RCT

Vaslaki 1998

Outcomes not relevant to review

Vaslaki 2000

Not RCT

Vaslaki 2002

Outcomes not relevant to review

Vaslaki 2003

Outcomes not relevant to review

Vaslaki 2005

Outcomes not relevant to review

Wang 2004d

Outcomes not relevant to review

Wizemann 2001

Not RCT (review article)

Zehnder 1999

Not RCT

Zimmerman 2003

Not RCT

Zucchelli 1988

Not RCT

Characteristics of studies awaiting assessment [ordered by study ID]

Beerenhout 2004

Methods

Participants

Interventions

Outcomes

Notes

Bellien 2014

Methods

Participants

Interventions

Outcomes

Notes

Cornelis 2014

Methods

Country: Netherlands
Setting: unclear, Netherlands centres
Study time frame: October 2011 to October 2012
Study design: cross‐over RCT

Enrolment: not reported
Duration of follow‐up: at 15, 30, 60,1 20, 240 minutes (4‐hour and 8‐hour sessions) and at 360 and 480 minutes (8‐hour sessions)

Participants

Ages eligible for study: 18 to 80 years

Inclusion criteria

prevalent conventional HD patients; AV‐fistula enabling double‐needle vascular access with blood flow rate of at least 350 mL/min; informed consent; age more than 18 years

Exclusion criteria

withdrawal of consent; acute intercurrent illness (infection, malignancy, cardiovascular event, uncontrolled diabetes)

Interventions

Assigned interventions

4‐hour HD, 4‐hour HDF, 8‐hour HD and 8‐hour HDF Prevalent conventional HD (CHD) patients (dialysing 3 days a week during 4 hours per dialysis session) will undergo, in random order, a mid‐week 4‐hour HD session, a mid‐week 4‐hour HDF session, a mid‐week 8‐hour HD session, and a mid‐week 8‐hour HDF session with a 2‐week interval between every session to assess the influence of treatment duration and of convection on the removal of uraemic toxins and on the haemodynamic responses and autonomic nervous regulation

In between the study dialysis sessions these patients will receive routine CHD treatments

Outcomes

Primary outcome measures

Removal of uraemic toxins
Secondary outcome measures

Haemodynamic response: BP, heart rate, heart rate variability, cardiac output and systemic vascular resistance will be measured. Skin microcirculation will be measured with laser Doppler flowmetry.

Notes

source: http://clinicaltrials.gov/ct2/show/study/NCT01328119?term=NCT01328119&rank=1

de Sequera 2013

Methods

Participants

Interventions

Outcomes

Notes

Francisco 2013

Methods

Participants

Interventions

Outcomes

Notes

Gonzales‐Diez 2012

Methods

Participants

Interventions

Outcomes

Notes

Krieter 2010a

Methods

Participants

Interventions

Outcomes

Notes

Characteristics of ongoing studies [ordered by study ID]

NCT01098149

Trial name or title

Tolerance to hemodialysis in insulin‐requiring diabetic patients: BD vs AFB with blood volume biofeedback (THIRD)

Methods

Country: Italy
Setting: multi‐centre, 5 Italian centres
Study time frame: 2006 to March 2010
Study design: cross‐over RCT

Enrolment: 55 patients
Duration of follow‐up: 3 months

Participants

Ages eligible for study: 18 to 85 years

Inclusion criteria

End stage renal disease patients; patients affected by diabetic nephropathy with insulin therapy, for, at least, 6 months; patients with renal replacement therapy with haemodialysis three time a week, for, at least, 6 months; age between 18 and 85 years

Exclusion criteria

Patients affected by neoplasm and/or mental illness; patients with residual diuresis > 500 mL/d; patients in single needle bicarbonate dialysis

Interventions

The study, 9 months long, is aimed to verify the treatment tolerance of insulin requiring diabetic patients, by using standard bicarbonate dialysis (BD), or acetate free biofiltration (AFB) and/or a blood volume control (BVC). The study is divided in three phases: the first one, three months long, is the baseline in standard bicarbonate dialysis, then all the patients are shifted to AFB with BVC, for other three months, while the last three months long phase, after a randomisation, has the aim to identify the relative contribution of each factor (absence of acetate in the bath or BVC) in the treatment tolerance improvement (if any). The treatment tolerance will be evaluated considering the frequency of intradialytic hypotensive events.

Outcomes

Primary outcome measures

tolerance to dialysis. (time frame: 3 months)

The treatment tolerance is measured by the number of intra dialytic hypotensive events

Secondary outcome measures

The secondary outcome measure is to evaluate the relative efficiency of each factor (AFB in the bath and blood volume control) to reach this result. (time frame: 3 months)

The evaluation will be done on: frequency of hypotensive events; number of nurse interventions (defined as ultrafiltration rate stop, or saline infusion); antihypertensive drugs.

Starting date

March 2006

Contact information

Dott. Ezio Movilli, Dept of Nephrology ‐Brescia, Italy

Notes

Study details as provided by Università deg li Studi di Brescia.

source: http://clinicaltrials.gov/ct2/show/NCT01098149

NCT01327391

Trial name or title

Tolerance of "on Line" hemodiafiltration in chronic renal failure patients (on‐line‐HDF)

Methods

Country: France
Setting: multi‐centre, 36 French centres
Study time frame: 2005 to December 2012
Study design: parallel RCT

Enrolment: 600 patients
Duration of follow‐up: 2 years

Participants

Ages eligible for study: 65 to 90 years

Inclusion criteria: patient who has signed the written consent form; aged > 65 and < 90 years; creatinine clearance < 10 mL/min; on dialysis for a minimum of 3 months; with 3 times/week haemodialysis sessions; erythropoietin dosage needed to maintain haemoglobin at a constant level (range of haemoglobin: 9 to 13 g/dL without any variation of more than 2g/dL for less than 3 months); without any problem of vascular access

Exclusion criteria: patient aged < 65 and > 90 years; presence of severe malnutrition (albumin < 20 g/L);, unstable clinical condition; unipuncture or failed vascular access flow; known problems of coagulation

Interventions

Active arm: on‐line haemodiafiltration

Haemodialysis patients treated with on line HDF technic

Procedure: on line haemodiafiltration 3 sessions/week; 3‐4 hours per session

Comparator: haemodialysis

Haemodialysis patients treated with conventional haemodialysis technic using high‐flux dialyzers

Procedure: haemodialysis 3 sessions/week; 3‐4 hours per session; high‐flux dialyzers

Outcomes

Primary outcome measures

Tolerance of "on line" HDF treatment versus conventional high‐flux haemodialysis in terms of adverse events occurring during dialysis sessions (time frame: between day 30 and day 120 of treatment)
Secondary outcome measures

Quality of life evaluated with the KDQOL questionnaire (time frame: day 0, 180, 365, 730)
Incidence of cardiovascular events (time frame: day 180, 365, 730)
Influence of the technic on mineral metabolism disturbances (time frame: day 180, 365, 730); measure of mineral metabolism parameters (Ca, PO4, PTH)
All‐cause and cardiovascular mortality (time frame: day 180, 365, 730)
Influence of the technic on inflammatory parameters (time frame: day 180, 365, 730)

measure of pro‐inflammatory cytokines and acute phase reactant proteins
Influence of the technic on microbiological safety (time frame: day 180, 365, 730); measure of microbiological purity of dialysate
Influence of the technic on oxidative stress parameters (time frame: day 180, 365, 730)

measure of oxidative stress markers (AOPP, AGE) and antioxidant systems (vitamin E)

Starting date

May 2005

Contact information

Prof Bernard CANAUD, Centre Hospitalier Universitaire Montpellier France

Sponsors and Collaborators: University Hospital, Montpellier Ministry of Health, France

Notes

Estimated study completion date: December 2012

source: http://clinicaltrials.gov/ct2/results?term=NCT01327391&Search=Search

NCT01396863

Trial name or title

Acute brain volume changes in haemodialysis: comparison of low flux haemodialysis with pre‐dilution haemodiafiltration

Methods

Country: Denmark
Setting: single centre
Study time frame: July 2011 to February 2012
Study design: cross‐over RCT

Enrolment: 12 patients
Duration of follow‐up: 4.5 hours after one haemodialysis session and 4.5 hours after one session of HDF

Participants

Ages eligible for study: 18 years and older

Inclusion criteria

Age ≥ 18 years Informed consent; patient with end‐stage renal disease (ESRD); stabile haemodialysis treatment (Kt/V ≥ 1.3); no contraindications against MRI (pacemaker or other metal implants, claustrophobia, severe adiposity); weight < 140 kg

Exclusion criteria

Clinical signs of new structural, thromboembolic or vascular brain disease the last 3 month before entering the study; changes in corticosteroid treatment during the last two weeks; change in diuretics during the last two weeks; non‐compliant with regard to salt and fluid intake; acute disease

Interventions

Assigned intervention

Procedure: HDF during the first examination The patient will receive treatment with pre‐dilution HDF during the first examination. During the second examination the patient will receive treatment with low‐flux hemodialysis. MRI of the brain will be performed before and after the treatment. The MRI‐data will later be processed to determine the degree of brain volume change due to the treatment.

Assigned comparison

Procedure: HD during the first examination. The patient will receive treatment with low‐flux haemodialysis during the first examination. During the second examination the patient will receive treatment with pre‐dilution hemodiafiltration. MRI of the brain will be performed before and after the treatment. The MRI‐data will later be processed to determine the degree of brain volume change due to the treatment.

Outcomes

Primary outcome measures

Percent brain volume change (PBVC), brain volume before and after one haemodialysis session (4,5 hours) and one session of HDF (4,5 hours)

Starting date

July 2011

Contact information

Study director: Jens D. Jensen, MD, PhD, Department of Renal Medicine C, Aarhus University Hospital, Skejby, Denmark

Principal Investigator: Niels Johansen, Department of Renal Medicine C, Aarhus University Hospital, Skejby, Denmark

Notes

Study completion date: February 2012

source: http://clinicaltrials.gov/ct2/show/NCT01396863?term=NCT01396863&rank=1

NCT01445366

Trial name or title

Solute removal with high volume hemodiafiltration versus long high flux hemodialysis

Methods

Country: Belgium
Setting: single centre
Study time frame: April 2012 to July 2012
Study design: cross‐over RCT

Enrolment: 10 patients
Duration of follow‐up: 2 weeks

Participants

Ages eligible for study: 18 years and older

Inclusion criteria

Chronic kidney disease (CKD) stage 5 with haemodialysis or HDF treatment for more than three months; no vascular access related problems (Arteriovenous (A/V) fistula, graft or bi‐flow catheter); double needle/lumen vascular access; no ongoing infection; signed informed consent form

Exclusion criteria

Inclusion criteria not met; known HIV or active hepatitis B or C infection (Positive Polymerisation Chain Reaction (PCR)); pregnancy; unstable clinical condition (e.g. cardiac or vascular instability); known coagulation problems; patients participating in another study interfering with the planned study

Interventions

Intervention: high volume post dilution HDF
Comparator: high‐flux haemodialysis

This is a prospective cross‐over study including 10 stable haemodialysis patients with chronic kidney disease stage 5. The cross‐over study lasts 2 weeks with the study dialysis sessions at midweek.

During one session, the patient will be dialyzed during 4 hours with high volume post dilution haemodiafiltration (HDF) with an FX800 haemodialyser (Fresenius Medical Care) and a blood flow of 300mL/min, dialysate flow of 500mL/min, and substitution flow of 75 mL/min.

During the other midweek session, the patient will be dialyzed during 8 hours with high‐flux haemodialysis (HD) with an FX80 haemodialyser (Fresenius Medical Care) and a blood flow of 200mL/min and a dialysate flow of 500mL/min.

Outcomes

Primary outcome measures

Uraemic retention solute concentrations from pre and post dialysis blood samples, dialyzer inlet and outlet blood samples, and spent dialysate samples. (time frame: during 4 hours)
Uraemic retention solute concentrations from pre and post dialysis blood samples, dialyzer inlet and outlet blood samples, and spent dialysate samples. (time frame: during 8 hours)

Starting date

April 2012

Contact information

Raymond Vanholder, PhD, MD

University Hospital Ghent, Ghent, Belgium, 9000

Notes

Estimated study completion date: December 2012

NCT02374372

Trial name or title

Prospective randomized study comparing the hemodiafiltration on‐line and conventional hemodialysis in terms of cost‐benefit

Methods

Country: Canada

Allocation: randomised

Endpoint classification: efficacy study

Intervention model: parallel assignment

Masking: open label

Primary purpose: treatment

Participants

Chronic renal failure; haemodialysis

Interventions

Active comparator: conventional haemodialysis

Active comparator: haemodiafiltration on‐line haemodiafiltration

Outcomes

Compare the medication cost between the 2 groups (HD and HDF) (time frame: 3 years)

Demonstrate lower cost of erythropoietin in HDF, with same control of anaemia to HD group (time frame: 3 years)

Demonstrate lower cost of phosphate binder in HDF, with same control of phospho‐calcium balance to HD group (time frame: 3 years)

Demonstrate lower need of erythropoietin and best control of anaemia in HDF (time frame: 3 years)

Demonstrate lower need of phosphate binder and best control of phospho‐calcium balance in HDF (time frame: 3 years)

Demonstrate less hospitalisation stay and cost related in HDF group (time frame: 3 years)

Stabilisation or regression of left ventricular hypertrophy (time frame: 3 years)

Starting date

January 2011

Contact information

Renée Lévesque, MD, [email protected]

Marie‐Line Caron, B.Sc, marie‐[email protected]

Notes

Estimated completion date: June 2016

Source: clinicaltrials.gov/ct2/show/study/NCT02374372

Data and analyses

Open in table viewer
Comparison 1. Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 All‐cause mortality Show forest plot

11

3396

Risk Ratio (IV, Random, 95% CI)

0.87 [0.72, 1.05]

Analysis 1.1

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 1 All‐cause mortality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 1 All‐cause mortality.

2 Cardiovascular mortality Show forest plot

6

2889

Risk Ratio (IV, Random, 95% CI)

0.75 [0.61, 0.92]

Analysis 1.2

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 2 Cardiovascular mortality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 2 Cardiovascular mortality.

3 Nonfatal cardiovascular event (rate/person‐years follow‐up) Show forest plot

1

Risk Ratio (IV, Random, 95% CI)

Totals not selected

Analysis 1.3

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 3 Nonfatal cardiovascular event (rate/person‐years follow‐up).

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 3 Nonfatal cardiovascular event (rate/person‐years follow‐up).

4 Hospitalisation Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.4

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 4 Hospitalisation.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 4 Hospitalisation.

4.1 Hospital admissions/year

1

45

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.07, 0.47]

4.2 Days spent in hospital

2

67

Mean Difference (IV, Random, 95% CI)

‐1.22 [‐7.47, 5.03]

5 Hospitalisation (rate/person‐years follow‐up) Show forest plot

2

400

Risk Ratio (IV, Random, 95% CI)

1.23 [0.93, 1.63]

Analysis 1.5

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 5 Hospitalisation (rate/person‐years follow‐up).

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 5 Hospitalisation (rate/person‐years follow‐up).

6 Change of dialysis modality Show forest plot

5

2919

Risk Ratio (IV, Random, 95% CI)

0.87 [0.41, 1.84]

Analysis 1.6

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 6 Change of dialysis modality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 6 Change of dialysis modality.

7 Hypotension during dialysis (rate/person‐years follow‐up) Show forest plot

Other data

No numeric data

Analysis 1.7

Study

Treatment effect

No. of participants

ESHOL Study 2011

In this study which reporting the number of hypotensive events/person‐years follow‐up, convective dialysis reduced the rate of hypotension during dialysis (906 participants: RR 0.72, 95% CI 0.66 to 0.80)

906



Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 7 Hypotension during dialysis (rate/person‐years follow‐up).

8 Dialysis sessions with hypotension Show forest plot

2

42

Mean Difference (IV, Random, 95% CI)

‐4.05 [‐15.39, 7.30]

Analysis 1.8

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 8 Dialysis sessions with hypotension.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 8 Dialysis sessions with hypotension.

9 Predialysis blood pressure Show forest plot

7

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.9

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 9 Predialysis blood pressure.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 9 Predialysis blood pressure.

9.1 Systolic blood pressure

7

1859

Mean Difference (IV, Random, 95% CI)

1.19 [‐1.46, 3.84]

9.2 Diastolic blood pressure

6

1154

Mean Difference (IV, Random, 95% CI)

‐0.25 [‐1.06, 0.56]

10 Maximal drop in blood pressure during dialysis Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.10

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 10 Maximal drop in blood pressure during dialysis.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 10 Maximal drop in blood pressure during dialysis.

10.1 Systolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

11 Kidney diseases questionnaire and well‐being scores Show forest plot

3

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.11

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 11 Kidney diseases questionnaire and well‐being scores.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 11 Kidney diseases questionnaire and well‐being scores.

11.1 Inter‐dialysis patient well‐being score

1

67

Mean Difference (IV, Random, 95% CI)

0.60 [0.30, 0.90]

11.2 Physical symptoms

2

121

Mean Difference (IV, Random, 95% CI)

‐0.54 [‐1.52, 0.44]

11.3 Fatigue

1

45

Mean Difference (IV, Random, 95% CI)

0.0 [‐0.98, 0.98]

11.4 Depression

1

45

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.50, 0.90]

11.5 Relationships

1

45

Mean Difference (IV, Random, 95% CI)

0.10 [‐0.73, 0.93]

11.6 Frustration

1

45

Mean Difference (IV, Random, 95% CI)

‐0.20 [‐1.61, 1.21]

12 Kt/V Show forest plot

14

2022

Mean Difference (IV, Random, 95% CI)

0.07 [‐0.00, 0.14]

Analysis 1.12

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 12 Kt/V.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 12 Kt/V.

13 Urea reduction ratio Show forest plot

3

879

Std. Mean Difference (IV, Random, 95% CI)

0.39 [0.06, 0.72]

Analysis 1.13

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 13 Urea reduction ratio.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 13 Urea reduction ratio.

14 Predialysis serum B2 microglobulin Show forest plot

12

1813

Mean Difference (IV, Random, 95% CI)

‐5.55 [‐9.11, ‐1.98]

Analysis 1.14

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 14 Predialysis serum B2 microglobulin.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 14 Predialysis serum B2 microglobulin.

15 B2 microglobulin clearance Show forest plot

3

65

Mean Difference (IV, Random, 95% CI)

13.05 [‐5.94, 32.04]

Analysis 1.15

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 15 B2 microglobulin clearance.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 15 B2 microglobulin clearance.

16 Dialysate B2 microglobulin level Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.16

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 16 Dialysate B2 microglobulin level.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 16 Dialysate B2 microglobulin level.

17 Data from cross‐over studies Show forest plot

Other data

No numeric data

Analysis 1.17

Study

Convective therapy

Diffusive therapy

P value from paper

Hospitalisation

Verzetti 1998

8

17

Not reported

Patients experiencing hypotension

Fox 1993

1/9

0/9

Not reported

Karamperis 2005

0/12

0/12

Not significant

Pedrini 2011a

2/62

5/62

Not reported

Teo 1987

0/10

0/10

Not reported

Intradialytic hypotensive events

Selby 2006a

23

37

Not significant

Stefansson 2012

32 dialysis sessions with hypotension from a total of 520 sessions

28 dialysis sessions with hypotension from a total of 520 sessions

Not significant

Symptomatic intradialytic hypotensive events

Selby 2006a

2

2

Not significant

Predialysis systolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 145.0 (7)

12 patients
Mean (± SE): 144.0 (6)

Not significant

Noris 1998

5 patients
Mean (± SE): 136.3 (2.7)

5 patients
Mean (± SE): 128.3 (3.6)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 140 (22)

62 patients
Mean (± SE): 147 (22)

P = 0.014

Stefansson 2012

20 patients
Mean (± SE): 161.2 (29.9)

20 patients
Mean (± SE): 157.5 (26.1)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 153 (8)

9 patients
Mean (± SE): 153 (6)

P > 0.05

Predialysis diastolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 81.0 (3)

12 patients
Mean (± SE): 83.0 (3)

Not significant

Noris 1998

5 patients
Mean (± SE): 78.0 (2.7)

5 patients
Mean (± SE): 75.3 (3.4)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 75.0 (13)

62 patients
Mean (± SE): 80.0 (13)

P = 0.05

Stefansson 2012

20 patients
Mean (± SE): 88.9 (12.6)

20 patients
Mean (± SE): 86.4 (10.8)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 83 (2)

9
Mean (± SE): 88 (2)

P > 0.05

Predialysis mean arterial pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 103.0 (4)

12 patients
Mean (± SE): 104.0 (4)

Not significant

Teo 1987

10 patients
Mean (± SEM): 94.4 (6.7)

10 patients
Mean (± SEM): 94.7 (6.1)

"Statistically insignificant"

Postdialysis systolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 128.0 (8)

12 patients
Mean (± SE): 129.0 (5)

Not significant

Noris 1998

5 patients
Mean (± SE): 136.3 (4.2)

5 patients
Mean (± SE): 127.1 (3.6)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 138 (25)

62 patients
Mean (± SE): 138 (21)

"not differ significantly"

Stefansson 2012

20 patients
Mean (± SE): 161.6 (25.1)

20 patients
Mean (± SE): 157.1 (22.8)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 114 (4)

9 patients
Mean (± SE): 121 (3)

P > 0.05

Postdialysis diastolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 73.0 (4)

12 patients
Mean (± SE): 77.0 (4)

Not significant

Pedrini 2011a

62 patients
Mean (± SE): 77.0 (14)

62 patients
Mean (± SE): 76.0 (13)

"not differ significantly"

Stefansson 2012

20 patients
Mean (± SE): 86.8 (12.8)

20 patients
Mean (± SE): 85.3 (10.3)

Not reported

Postdialysis fall in systolic blood pressure (mm Hg)

Todeschini 2002

9 patients
Mean (± SE): ‐39 (8)

9 patients
Mean (± SE): ‐32 (6)

P > 0.05

Postdialysis mean arterial pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 91.0 (5)

12 patients
Mean (± SE): 94.0 (3)

Not significant

Teo 1987

10 patients
Mean (± SEM): 90.7 (3.8)

10 patients
Mean (± SEM): 96.3 (5.9)

"Statistically insignificant"

Difference between pre‐ and postdialysis systolic blood pressure (mm Hg)

Noris 1998

5 patients
Mean (± SE): 0 (4.8)

5 patients
Mean (± SE): ‐0.3 (4.6)

P > 0.05

Difference between pre‐ and postdialysis diastolic blood pressure (mm Hg)

Noris 1998

5 patients
Mean (± SE): ‐1.4 (2.7)

5 patients
Mean (± SE): ‐3.1 (2.8)

P > 0.05

Todeschini 2002

9 patients
Mean (± SE): ‐8 (6)

9 patients
Mean (± SE): ‐13 (3)

P > 0.05

Intradialysis mean systolic blood pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 137.8 (5.3)

12 patients
Mean (± SEM): 145.5 (8.0)

P < 0.0001

Intradialysis mean diastolic blood pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 79.2 (1.9)

12 patients
Mean (± SEM): 80.8 (3.5)

P = 0.005

Intradialysis mean arterial pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 104.1(5.2)

12 patients
Mean (± SEM): 100.5 (2.9)

P < 0.0001

Teo 1987

10 patients
Mean (± SEM): 89.5 (5.6)

10 patients
Mean (± SEM): 95.3 (5.5)

"statistically insignificant decrease"

Kt/V

Basile 2001

10 patients
Mean (± SD): .28 (0.05)

10 patients
Mean (± SD): 1.30 (0.05)

No significant difference

Kantartzi 2013

48 patients
Mean (± SD): 1.45 (0.16)

48 patients
Mean (± SD): 1.42 (0.02)

P = 0.33

Karamperis 2005

12 patients
Mean (± SD): 1.8 (0.20)

12 patients
Mean (± SD): 1.70 (0.00)

No significant difference

Noris 1998

5 patients
Mean (± SE) = 1.28 (0.08)

5 patients
Mean (± SE): 1.16 (0.11)

P > 0.05

Pedrini 2011a

62 patients

Mean (± SE): 1.60 (0.31)

62 patients

Mean (± SE): 1.44 (0.26)

P < 0.0001

Righetti 2010

24 patients
Mean (± SE): 1.6 (0.02)

24 patients
Mean (± SE): 1.51 (0.02)

P < 0.01

Selby 2006a

12 patients

Mean (± SE): 1.37 (0.28)

12 patients

Mean (± SE): 1.38 (0.32)

P = 0.91

Stefansson 2012

20 patients
Mean (± SE): 1.51 (0.2)

20 patients
Mean (± SE): 1.47 (0.24)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 1.54 (0.09)

9 patients
Mean (± SE): 1.46 (0.05)

P > 0.05

Tuccillo 2002

12 patients
Mean (± SD): 1.49 (0.20)

12 patients
Mean (± SD): 1.41 (0.24)

P > 0.05

Urea reduction ratio

Righetti 2010

24 patients
Mean (± SE): 73.1 (0.5)

24 patients
Mean (± SE): 70.9 (0.5)

P < 0.01

Predialysis serum B2 microglobulin level (mg/L)

Kantartzi 2013

48 patients
Mean (± SE): 31.9 (7.64)

48 patients
Mean (± SE): 47.36 (12.21)

P < 0.01

Pedrini 2011a

62 patients
Mean (± SE): 22.2 (7.8)

62 patients
Mean (± SE): 33.5 (11.8)

P < 0.0001

Righetti 2010

24 patients
Mean (± SE): 26.0 (0.5)

24 patients
Mean (± SE): 30.9 (0.6)

P < 0.01

Stefansson 2012

20 patients
Mean (± SE): 23.7 (8.1)

20 patients
Mean (± SE): 34.6 (17)

Not reported



Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 17 Data from cross‐over studies.

17.1 Hospitalisation

Other data

No numeric data

17.2 Patients experiencing hypotension

Other data

No numeric data

17.3 Intradialytic hypotensive events

Other data

No numeric data

17.4 Symptomatic intradialytic hypotensive events

Other data

No numeric data

17.5 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.6 Predialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.7 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.8 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.9 Postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.10 Postdialysis fall in systolic blood pressure (mm Hg)

Other data

No numeric data

17.11 Postdialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.12 Difference between pre‐ and postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.13 Difference between pre‐ and postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.14 Intradialysis mean systolic blood pressure (mm Hg)

Other data

No numeric data

17.15 Intradialysis mean diastolic blood pressure (mm Hg)

Other data

No numeric data

17.16 Intradialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.17 Kt/V

Other data

No numeric data

17.18 Urea reduction ratio

Other data

No numeric data

17.19 Predialysis serum B2 microglobulin level (mg/L)

Other data

No numeric data

Open in table viewer
Comparison 2. Convection versus convection (haemofiltration versus haemodiafiltration)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 All‐cause mortality Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 2.1

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 1 All‐cause mortality.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 1 All‐cause mortality.

2 Predialysis blood pressure Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 2.2

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 2 Predialysis blood pressure.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 2 Predialysis blood pressure.

2.1 Systolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.2 Diastolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

3 Kt/V Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 2.3

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 3 Kt/V.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 3 Kt/V.

4 Data from cross‐over studies Show forest plot

Other data

No numeric data

Analysis 2.4

Study

Haemodiafiltraton

Haemofiltration

P value from paper

Days spent in hospital

Altieri 2004

30 patients
Mean (± SD): 1.3 (4.7)

30 patients
Mean (± SD)L 1.9 (4.9)

Not significant

Average number of episodes of hypotension/patient/month

Altieri 2004

30 patients
Mean (± SD): 1.1 (1.5)

30 patients
Mean (± SD): 0.5 (0.7)

P = 0.0169

Number of patients experiencing hypotension

Altieri 2004

2/30

0/30

P > 0.05

Predialysis systolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 130.9 (18.5)

30 patients
Mean (± SD): 140.2 (16.2)

P = 0.044

Predialysis diastolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 75.3 (9.7)

30 patients
Mean (± SD): 77.5 (10.4)

P > 0.05

Predialysis mean arterial pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 93.8 (11.5)

30 patients
Mean (± SD): 98.4 (10.8)

P > 0.05

Postdialysis systolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 129 (19.8)

30 patients
Mean (± SD): 1135.3 (15.7)

P > 0.05

Postdialysis diastolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 75.3 (9.3)

30 patients

Mean (± SD): 74.5 (7.9)

P > 0.05

Postdialysis mean arterial blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 93.2 (11.6)

30 patients
Mean (± SD): 94.8 (9.3)

P > 0.05

Number of patients experiencing hypertension

Altieri 2004

6/30

7/30

P > 0.05

Kt/V

Altieri 2004

30 patients
Mean (± SD): 1.3 (0.1)

30 patients
Mean (± SD): 1.2 (0.1)

P < 0.001

Predialysis serum B2 microglobulin (mg/L)

Altieri 2004

30 patients
Mean (± SD): 17.8 (5.0)

30 patients
Mean (± SD): 19.3 (6.1)

Not significant

B2 microglobulin clearance (mL/min)

Meert 2009

14 patients
Mean (± SD): 67.2 (18.5)

14 patients
Mean (± SD): 87.5 (9.6)

P < 0.017



Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 4 Data from cross‐over studies.

4.1 Days spent in hospital

Other data

No numeric data

4.2 Average number of episodes of hypotension/patient/month

Other data

No numeric data

4.3 Number of patients experiencing hypotension

Other data

No numeric data

4.4 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

4.5 Predialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

4.6 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

4.7 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

4.8 Postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

4.9 Postdialysis mean arterial blood pressure (mm Hg)

Other data

No numeric data

4.10 Number of patients experiencing hypertension

Other data

No numeric data

4.11 Kt/V

Other data

No numeric data

4.12 Predialysis serum B2 microglobulin (mg/L)

Other data

No numeric data

4.13 B2 microglobulin clearance (mL/min)

Other data

No numeric data

Open in table viewer
Comparison 3. Convection versus convection (haemodiafiltration versus acetate‐free biofiltration)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Data from cross‐over studies Show forest plot

Other data

No numeric data

Analysis 3.1

Study

Haemodiafiltration

Acid‐free biofiltration

P value from paper

Number of hospitalisations/patient during observation period

Movilli 1996

12 patients
Mean (± SD): 0.33 (0.71)

12 patients
Mean (± SD): 0.78 (0.93)

Not significant

Length of hospitalisation stay/patient (days/patient)

Movilli 1996

12 patients
Mean (± SD): 2.70 (5.7)

12 patients
Mean (± SD): 3.60 (5.2)

Not significant

Number of dialysis sessions with hypotension

Coll 2009

21 patients

7/545 sessions

21 patients

46/545 sessions

"On‐line HDF was associated with fewer hypotensive episodes than treatment with on‐line HDF without acetate (P=0.019)"

Movilli 1996

12 patients
10/72 sessions

12 patients
9/72 sessions

Not significant

Predialysis systolic blood pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 142.0 (10.0)

9 patients
Mean (± SD): 142.0 (11.0)

Not significant

Predialysis mean arterial pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 94.0 (16.5)

9 patients
Mean (± SD): 89.2 (17.7)

Not reported

Postdialysis systolic blood pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 141.0 (8.0)

9 patients
Mean (± SD): 141.00 (12.1)

Not significant

Interdialysis symptom score

Ding 2002

9 patients
Mean (± SD): 1.99 (2.49)

9 patients
Mean (± SD): 2.57 (2.93)

Not significant

Kt/V

Movilli 1996

12 patients
Mean (± SD): 1.32 (0.12)

12 patients
Mean (± SD): 1.32 (0.13)

Not significant

Urea reduction ratio

Ding 2002

9 patients
Mean (± SD): 71.0 (7.9)

9 patients
Mean (± SD): 67.0 (6.5)

Not significant

Predialysis B2 microglobulin (mg/L)

Coll 2009

21 patients

Mean (± SD): 27.7 (7.2)

21 patients

Mean (± SD): 27.4 (6.7)

Not significant

Ding 2002

9 patients
Mean (± SD): 26.3 (7.9)

9 patients
Mean (± SD): 25.9 (6.3)

Not significant

Number of dialysis sessions with side effects (nausea, vomiting, headaches)

Movilli 1996

12 patients
1/72 sessions

12 patients
1/72 sessions

Not significant



Comparison 3 Convection versus convection (haemodiafiltration versus acetate‐free biofiltration), Outcome 1 Data from cross‐over studies.

1.1 Number of hospitalisations/patient during observation period

Other data

No numeric data

1.2 Length of hospitalisation stay/patient (days/patient)

Other data

No numeric data

1.3 Number of dialysis sessions with hypotension

Other data

No numeric data

1.4 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

1.5 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

1.6 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

1.7 Interdialysis symptom score

Other data

No numeric data

1.8 Kt/V

Other data

No numeric data

1.9 Urea reduction ratio

Other data

No numeric data

1.10 Predialysis B2 microglobulin (mg/L)

Other data

No numeric data

1.11 Number of dialysis sessions with side effects (nausea, vomiting, headaches)

Other data

No numeric data

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 3

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Funnel plot of comparison: 1 Convection (haemofiltration/HDF/acetate‐free biofiltration) versus haemodialysis, outcome: 1.1 All‐cause mortality.
Figuras y tablas -
Figure 4

Funnel plot of comparison: 1 Convection (haemofiltration/HDF/acetate‐free biofiltration) versus haemodialysis, outcome: 1.1 All‐cause mortality.

Funnel plot of comparison: 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, outcome: 1.2 Cardiovascular mortality.
Figuras y tablas -
Figure 5

Funnel plot of comparison: 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, outcome: 1.2 Cardiovascular mortality.

Funnel plot of comparison: 1 Convection (haemofiltration/HDF/acetate‐free biofiltration) versus haemodialysis, outcome: 1.6 Change of dialysis modality.
Figuras y tablas -
Figure 6

Funnel plot of comparison: 1 Convection (haemofiltration/HDF/acetate‐free biofiltration) versus haemodialysis, outcome: 1.6 Change of dialysis modality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 1 All‐cause mortality.
Figuras y tablas -
Analysis 1.1

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 1 All‐cause mortality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 2 Cardiovascular mortality.
Figuras y tablas -
Analysis 1.2

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 2 Cardiovascular mortality.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 3 Nonfatal cardiovascular event (rate/person‐years follow‐up).
Figuras y tablas -
Analysis 1.3

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 3 Nonfatal cardiovascular event (rate/person‐years follow‐up).

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 4 Hospitalisation.
Figuras y tablas -
Analysis 1.4

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 4 Hospitalisation.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 5 Hospitalisation (rate/person‐years follow‐up).
Figuras y tablas -
Analysis 1.5

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 5 Hospitalisation (rate/person‐years follow‐up).

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 6 Change of dialysis modality.
Figuras y tablas -
Analysis 1.6

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 6 Change of dialysis modality.

Study

Treatment effect

No. of participants

ESHOL Study 2011

In this study which reporting the number of hypotensive events/person‐years follow‐up, convective dialysis reduced the rate of hypotension during dialysis (906 participants: RR 0.72, 95% CI 0.66 to 0.80)

906

Figuras y tablas -
Analysis 1.7

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 7 Hypotension during dialysis (rate/person‐years follow‐up).

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 8 Dialysis sessions with hypotension.
Figuras y tablas -
Analysis 1.8

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 8 Dialysis sessions with hypotension.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 9 Predialysis blood pressure.
Figuras y tablas -
Analysis 1.9

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 9 Predialysis blood pressure.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 10 Maximal drop in blood pressure during dialysis.
Figuras y tablas -
Analysis 1.10

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 10 Maximal drop in blood pressure during dialysis.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 11 Kidney diseases questionnaire and well‐being scores.
Figuras y tablas -
Analysis 1.11

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 11 Kidney diseases questionnaire and well‐being scores.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 12 Kt/V.
Figuras y tablas -
Analysis 1.12

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 12 Kt/V.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 13 Urea reduction ratio.
Figuras y tablas -
Analysis 1.13

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 13 Urea reduction ratio.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 14 Predialysis serum B2 microglobulin.
Figuras y tablas -
Analysis 1.14

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 14 Predialysis serum B2 microglobulin.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 15 B2 microglobulin clearance.
Figuras y tablas -
Analysis 1.15

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 15 B2 microglobulin clearance.

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 16 Dialysate B2 microglobulin level.
Figuras y tablas -
Analysis 1.16

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 16 Dialysate B2 microglobulin level.

Study

Convective therapy

Diffusive therapy

P value from paper

Hospitalisation

Verzetti 1998

8

17

Not reported

Patients experiencing hypotension

Fox 1993

1/9

0/9

Not reported

Karamperis 2005

0/12

0/12

Not significant

Pedrini 2011a

2/62

5/62

Not reported

Teo 1987

0/10

0/10

Not reported

Intradialytic hypotensive events

Selby 2006a

23

37

Not significant

Stefansson 2012

32 dialysis sessions with hypotension from a total of 520 sessions

28 dialysis sessions with hypotension from a total of 520 sessions

Not significant

Symptomatic intradialytic hypotensive events

Selby 2006a

2

2

Not significant

Predialysis systolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 145.0 (7)

12 patients
Mean (± SE): 144.0 (6)

Not significant

Noris 1998

5 patients
Mean (± SE): 136.3 (2.7)

5 patients
Mean (± SE): 128.3 (3.6)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 140 (22)

62 patients
Mean (± SE): 147 (22)

P = 0.014

Stefansson 2012

20 patients
Mean (± SE): 161.2 (29.9)

20 patients
Mean (± SE): 157.5 (26.1)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 153 (8)

9 patients
Mean (± SE): 153 (6)

P > 0.05

Predialysis diastolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 81.0 (3)

12 patients
Mean (± SE): 83.0 (3)

Not significant

Noris 1998

5 patients
Mean (± SE): 78.0 (2.7)

5 patients
Mean (± SE): 75.3 (3.4)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 75.0 (13)

62 patients
Mean (± SE): 80.0 (13)

P = 0.05

Stefansson 2012

20 patients
Mean (± SE): 88.9 (12.6)

20 patients
Mean (± SE): 86.4 (10.8)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 83 (2)

9
Mean (± SE): 88 (2)

P > 0.05

Predialysis mean arterial pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 103.0 (4)

12 patients
Mean (± SE): 104.0 (4)

Not significant

Teo 1987

10 patients
Mean (± SEM): 94.4 (6.7)

10 patients
Mean (± SEM): 94.7 (6.1)

"Statistically insignificant"

Postdialysis systolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 128.0 (8)

12 patients
Mean (± SE): 129.0 (5)

Not significant

Noris 1998

5 patients
Mean (± SE): 136.3 (4.2)

5 patients
Mean (± SE): 127.1 (3.6)

P > 0.05

Pedrini 2011a

62 patients
Mean (± SE): 138 (25)

62 patients
Mean (± SE): 138 (21)

"not differ significantly"

Stefansson 2012

20 patients
Mean (± SE): 161.6 (25.1)

20 patients
Mean (± SE): 157.1 (22.8)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 114 (4)

9 patients
Mean (± SE): 121 (3)

P > 0.05

Postdialysis diastolic blood pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 73.0 (4)

12 patients
Mean (± SE): 77.0 (4)

Not significant

Pedrini 2011a

62 patients
Mean (± SE): 77.0 (14)

62 patients
Mean (± SE): 76.0 (13)

"not differ significantly"

Stefansson 2012

20 patients
Mean (± SE): 86.8 (12.8)

20 patients
Mean (± SE): 85.3 (10.3)

Not reported

Postdialysis fall in systolic blood pressure (mm Hg)

Todeschini 2002

9 patients
Mean (± SE): ‐39 (8)

9 patients
Mean (± SE): ‐32 (6)

P > 0.05

Postdialysis mean arterial pressure (mm Hg)

Karamperis 2005

12 patients
Mean (± SE): 91.0 (5)

12 patients
Mean (± SE): 94.0 (3)

Not significant

Teo 1987

10 patients
Mean (± SEM): 90.7 (3.8)

10 patients
Mean (± SEM): 96.3 (5.9)

"Statistically insignificant"

Difference between pre‐ and postdialysis systolic blood pressure (mm Hg)

Noris 1998

5 patients
Mean (± SE): 0 (4.8)

5 patients
Mean (± SE): ‐0.3 (4.6)

P > 0.05

Difference between pre‐ and postdialysis diastolic blood pressure (mm Hg)

Noris 1998

5 patients
Mean (± SE): ‐1.4 (2.7)

5 patients
Mean (± SE): ‐3.1 (2.8)

P > 0.05

Todeschini 2002

9 patients
Mean (± SE): ‐8 (6)

9 patients
Mean (± SE): ‐13 (3)

P > 0.05

Intradialysis mean systolic blood pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 137.8 (5.3)

12 patients
Mean (± SEM): 145.5 (8.0)

P < 0.0001

Intradialysis mean diastolic blood pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 79.2 (1.9)

12 patients
Mean (± SEM): 80.8 (3.5)

P = 0.005

Intradialysis mean arterial pressure (mm Hg)

Selby 2006a

12 patients
Mean (± SEM): 104.1(5.2)

12 patients
Mean (± SEM): 100.5 (2.9)

P < 0.0001

Teo 1987

10 patients
Mean (± SEM): 89.5 (5.6)

10 patients
Mean (± SEM): 95.3 (5.5)

"statistically insignificant decrease"

Kt/V

Basile 2001

10 patients
Mean (± SD): .28 (0.05)

10 patients
Mean (± SD): 1.30 (0.05)

No significant difference

Kantartzi 2013

48 patients
Mean (± SD): 1.45 (0.16)

48 patients
Mean (± SD): 1.42 (0.02)

P = 0.33

Karamperis 2005

12 patients
Mean (± SD): 1.8 (0.20)

12 patients
Mean (± SD): 1.70 (0.00)

No significant difference

Noris 1998

5 patients
Mean (± SE) = 1.28 (0.08)

5 patients
Mean (± SE): 1.16 (0.11)

P > 0.05

Pedrini 2011a

62 patients

Mean (± SE): 1.60 (0.31)

62 patients

Mean (± SE): 1.44 (0.26)

P < 0.0001

Righetti 2010

24 patients
Mean (± SE): 1.6 (0.02)

24 patients
Mean (± SE): 1.51 (0.02)

P < 0.01

Selby 2006a

12 patients

Mean (± SE): 1.37 (0.28)

12 patients

Mean (± SE): 1.38 (0.32)

P = 0.91

Stefansson 2012

20 patients
Mean (± SE): 1.51 (0.2)

20 patients
Mean (± SE): 1.47 (0.24)

Not reported

Todeschini 2002

9 patients
Mean (± SE): 1.54 (0.09)

9 patients
Mean (± SE): 1.46 (0.05)

P > 0.05

Tuccillo 2002

12 patients
Mean (± SD): 1.49 (0.20)

12 patients
Mean (± SD): 1.41 (0.24)

P > 0.05

Urea reduction ratio

Righetti 2010

24 patients
Mean (± SE): 73.1 (0.5)

24 patients
Mean (± SE): 70.9 (0.5)

P < 0.01

Predialysis serum B2 microglobulin level (mg/L)

Kantartzi 2013

48 patients
Mean (± SE): 31.9 (7.64)

48 patients
Mean (± SE): 47.36 (12.21)

P < 0.01

Pedrini 2011a

62 patients
Mean (± SE): 22.2 (7.8)

62 patients
Mean (± SE): 33.5 (11.8)

P < 0.0001

Righetti 2010

24 patients
Mean (± SE): 26.0 (0.5)

24 patients
Mean (± SE): 30.9 (0.6)

P < 0.01

Stefansson 2012

20 patients
Mean (± SE): 23.7 (8.1)

20 patients
Mean (± SE): 34.6 (17)

Not reported

Figuras y tablas -
Analysis 1.17

Comparison 1 Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis, Outcome 17 Data from cross‐over studies.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 1 All‐cause mortality.
Figuras y tablas -
Analysis 2.1

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 1 All‐cause mortality.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 2 Predialysis blood pressure.
Figuras y tablas -
Analysis 2.2

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 2 Predialysis blood pressure.

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 3 Kt/V.
Figuras y tablas -
Analysis 2.3

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 3 Kt/V.

Study

Haemodiafiltraton

Haemofiltration

P value from paper

Days spent in hospital

Altieri 2004

30 patients
Mean (± SD): 1.3 (4.7)

30 patients
Mean (± SD)L 1.9 (4.9)

Not significant

Average number of episodes of hypotension/patient/month

Altieri 2004

30 patients
Mean (± SD): 1.1 (1.5)

30 patients
Mean (± SD): 0.5 (0.7)

P = 0.0169

Number of patients experiencing hypotension

Altieri 2004

2/30

0/30

P > 0.05

Predialysis systolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 130.9 (18.5)

30 patients
Mean (± SD): 140.2 (16.2)

P = 0.044

Predialysis diastolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 75.3 (9.7)

30 patients
Mean (± SD): 77.5 (10.4)

P > 0.05

Predialysis mean arterial pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 93.8 (11.5)

30 patients
Mean (± SD): 98.4 (10.8)

P > 0.05

Postdialysis systolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 129 (19.8)

30 patients
Mean (± SD): 1135.3 (15.7)

P > 0.05

Postdialysis diastolic blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 75.3 (9.3)

30 patients

Mean (± SD): 74.5 (7.9)

P > 0.05

Postdialysis mean arterial blood pressure (mm Hg)

Altieri 2004

30 patients
Mean (± SD): 93.2 (11.6)

30 patients
Mean (± SD): 94.8 (9.3)

P > 0.05

Number of patients experiencing hypertension

Altieri 2004

6/30

7/30

P > 0.05

Kt/V

Altieri 2004

30 patients
Mean (± SD): 1.3 (0.1)

30 patients
Mean (± SD): 1.2 (0.1)

P < 0.001

Predialysis serum B2 microglobulin (mg/L)

Altieri 2004

30 patients
Mean (± SD): 17.8 (5.0)

30 patients
Mean (± SD): 19.3 (6.1)

Not significant

B2 microglobulin clearance (mL/min)

Meert 2009

14 patients
Mean (± SD): 67.2 (18.5)

14 patients
Mean (± SD): 87.5 (9.6)

P < 0.017

Figuras y tablas -
Analysis 2.4

Comparison 2 Convection versus convection (haemofiltration versus haemodiafiltration), Outcome 4 Data from cross‐over studies.

Study

Haemodiafiltration

Acid‐free biofiltration

P value from paper

Number of hospitalisations/patient during observation period

Movilli 1996

12 patients
Mean (± SD): 0.33 (0.71)

12 patients
Mean (± SD): 0.78 (0.93)

Not significant

Length of hospitalisation stay/patient (days/patient)

Movilli 1996

12 patients
Mean (± SD): 2.70 (5.7)

12 patients
Mean (± SD): 3.60 (5.2)

Not significant

Number of dialysis sessions with hypotension

Coll 2009

21 patients

7/545 sessions

21 patients

46/545 sessions

"On‐line HDF was associated with fewer hypotensive episodes than treatment with on‐line HDF without acetate (P=0.019)"

Movilli 1996

12 patients
10/72 sessions

12 patients
9/72 sessions

Not significant

Predialysis systolic blood pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 142.0 (10.0)

9 patients
Mean (± SD): 142.0 (11.0)

Not significant

Predialysis mean arterial pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 94.0 (16.5)

9 patients
Mean (± SD): 89.2 (17.7)

Not reported

Postdialysis systolic blood pressure (mm Hg)

Ding 2002

9 patients
Mean (± SD): 141.0 (8.0)

9 patients
Mean (± SD): 141.00 (12.1)

Not significant

Interdialysis symptom score

Ding 2002

9 patients
Mean (± SD): 1.99 (2.49)

9 patients
Mean (± SD): 2.57 (2.93)

Not significant

Kt/V

Movilli 1996

12 patients
Mean (± SD): 1.32 (0.12)

12 patients
Mean (± SD): 1.32 (0.13)

Not significant

Urea reduction ratio

Ding 2002

9 patients
Mean (± SD): 71.0 (7.9)

9 patients
Mean (± SD): 67.0 (6.5)

Not significant

Predialysis B2 microglobulin (mg/L)

Coll 2009

21 patients

Mean (± SD): 27.7 (7.2)

21 patients

Mean (± SD): 27.4 (6.7)

Not significant

Ding 2002

9 patients
Mean (± SD): 26.3 (7.9)

9 patients
Mean (± SD): 25.9 (6.3)

Not significant

Number of dialysis sessions with side effects (nausea, vomiting, headaches)

Movilli 1996

12 patients
1/72 sessions

12 patients
1/72 sessions

Not significant

Figuras y tablas -
Analysis 3.1

Comparison 3 Convection versus convection (haemodiafiltration versus acetate‐free biofiltration), Outcome 1 Data from cross‐over studies.

Convective compared with diffusive dialysis modalities for men and women with end‐stage kidney disease

Patient or population: men and women with end‐stage kidney disease

Intervention: convective dialysis

Comparison: diffusive dialysis

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Diffusion

Convection

All‐cause mortality

200 per 1000

Not significant

RR 0.87

(0.72 to 1.05)

11 (3396)

⊕⊕⊝⊝
low

Convective therapy has little or no effect on all‐cause mortality

Cardiovascular mortality

100 per 1000

75 per 1000

RR 0.75

(0.81 to 0.92)

6 (2889)

⊕⊕⊝⊝
low

Convective therapy may reduce cardiovascular mortality

Nonfatal cardiovascular events

130 per 1000

Not significant

RR 1.23 (0.93‐1.63)

2 (1688)

⊕⊝⊝⊝
very low

Convective therapy has uncertain effects on non‐fatal cardiovascular events

Health‐related quality of life

Not estimable

Not estimable

Not estimable

8 (988)

⊕⊕⊝⊝
very low

Convective therapy has uncertain effects on health‐related quality of life

*The assumed risk (e.g. the median control group risk across studies) is derived from data within dialysis registries for all‐cause mortality and cardiovascular mortality and the reported event rate in the available study for nonfatal cardiovascular events (CONTRAST (Dutch) Study 2005). The corresponding risk (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; RR: Risk Ratio

GRADE (Grading of Recommendations Assessment, Development, and Evaluation) Working Group grades of evidence (Guyatt 2011).
Low quality: Indicates that our confidence in the effect estimate is limited: The true effect may be substantially difference from the estimated effect.
Very low quality: Indicated that we have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimated effect.

Figuras y tablas -
Table 1. Categories of interventions used in individual studies and duration of follow‐up

Study ID

Intervention

Duration

Number of patients

Altieri 2004

HDF versus HF

12 months

39

Bammens 2004

HDF versus HD

2 weeks

14

Basile 2001

AFB versus HD

12 months

11

Beerenhout 2005

HF versus HD

12 months

40

Bolasco 2003

HF versus HDF versus HD

18 months

146

Coll 2009

AFB versus HDF

15 months

30

CONTRAST (Dutch) Study 2005

HDF versus HD

36 months

714

Cristofano 2004

HDF versus HD

1 session

12

Ding 2002

HDF versus AFB

36 weeks

12

Eiselt 2000

AFB versus HD

12 months

20

ESHOL Study 2011

HDF versus HD

36 months

906

Fox 1993

HF versus HD

1 session

9

Kantartzi 2013

HDF versus HD

3 months

24

Karamperis 2005

HDF versus HD

2 sessions

12

Lin 2001

HDF versus HD

15 months

67

Locatelli 1994

HDF versus HD

24 months

205

Lornoy 1998

HDF versus HD

1 session

8

Mandolfo 2008

HDF versus HD

6 weeks

8

Meert 2009

HDF versus HF

9 weeks

14

Movilli 1996

HDF versus AFB

6 months

12

Noris 1998

AFB versus HD

1 week

5

Ohtake 2012

HDF versus HD

12 months

22

Pedrini 2011a

HDF versus HD

12 months

69

PROFIL Study 2011

HF versus HD

24 months

48

Righetti 2010

HDF versus HD

18 months

24

Santoro 1999

AFB versus HD

48 months

371

Santoro 2005a

HF versus HD

36 months

64

Schiffl 1992

HF versus HD

48 months

32

Schiffl 2007

HDF versus HD

48 months

76

Schrander vd Meer 1998

AFB versus HD

12 months

24

Selby 2006a

AFB versus HD

4 weeks

12

Stefansson 2012

HDF versus HD

4 months

20

Teo 1987

HDF versus HD

8 months

13

Todeschini 2002

AFB versus HD

3 sessions

9

Tuccillo 2002

HDF versus HD

3 months

12

TURKISH HDF 2013

HDF versus HD

24 months

782

Vaslaki 2006

HDF versus HD

48 weeks

129

Verzetti 1998

AFB versus HD

12 months

41

Ward 2000

HDF versus HD

12 months

50

Wizemann 2000

HDF versus HD

24 months

44

AFB ‐ acetate‐free biofiltration; HDF ‐ haemodiafiltration; HD ‐ haemodialysis; HF ‐ haemofiltration

Figuras y tablas -
Table 1. Categories of interventions used in individual studies and duration of follow‐up
Table 2. Description of included studies according with the interventions used

Categories of intervention

Study

Total number of studies

Total number of patients

HDF versus HD

Bammens 2004; Lin 2001; Locatelli 1994; Lornoy 1998; Teo 1987; Tuccillo 2002; Ward 2000; Wizemann 2000; Bolasco 2003; CONTRAST (Dutch) Study 2005; Cristofano 2004; Karamperis 2005; Mandolfo 2008; Pedrini 2011a; Righetti 2010; Schiffl 2007; Stefansson 2012; TURKISH HDF 2013; Vaslaki 2006ESHOL Study 2011; Kantartzi 2013; Ohtake 2012

22

3299

HF versus HD

Beerenhout 2005; Fox 1993; Schiffl 1992; Bolasco 2003; Santoro 2005a; PROFIL Study 2011

6

325

AFB versus HD

Basile 2001; Santoro 1999; Eiselt 2000; Noris 1998; Schrander vd Meer 1998; Selby 2006a; Todeschini 2002; Verzetti 1998

8

487

HDF versus AFB

Coll 2009; Ding 2002; Movilli 1996

3

59

HDF versus HF

Altieri 2004; Bolasco 2003; Meert 2009

3

199

More than two treatment arms

Bolasco 2003; Locatelli 1994; Schiffl 1992

3

383

AFB ‐ acetate‐free biofiltration; HDF ‐ haemodiafiltration; HD ‐ haemodialysis; HF ‐ haemofiltration

Figuras y tablas -
Table 2. Description of included studies according with the interventions used
Table 3. Summary of quality of life findings

Study ID

Comparison

Quality of Life scale used

Time of assessment

End of study result

Selective reporting of quality of life dimensions

Beerenhout 2005

HF versus HD

Kidney Disease Questionnaire

Before randomisation, at 6 months and at 1 year

No significant difference in scores in all five components of the scoring system between interventions

Yes

CONTRAST (Dutch) Study 2005

HDF versus HD

Kidney Disease Quality of Life‐Short Form

Median follow‐up
of 2 years

There were no significant differences in changes in health‐related quality of life over time between groups (generic or kidney‐disease specific domains)

No

Kantartzi 2013

HDF versus HD

SF‐36

At 3 months

There were statistical significant differences in QoL for the total SF‐36 (36.1 (26.7 to 45.7) and 40.7 (30.2 to 62.8)), for classic low‐flux HD and high‐flux HDF, for bodily pain (45 (26.9 to 66.9) and 55 (35.6 to 87.5)), and
for role limitations due to emotional functioning (0 (0 to 33.3) and 33.3 (0 to 100)), respectively

No data were available for the end of the first phase of treatment

No

Lin 2001

HDF versus HD

Patient well‐being score

Once weekly for 15 months

Patients on HDF had significantly better scores ((physical well‐being score) MD 0.60, 95% CI 0.30 to 0.90).

No

Schiffl 2007

HDF versus HD

Kidney Disease
Questionnaire

after 52 weeks

None of the other dimensions of the KDQ showed a change during the course of the study

No data were available for the end of the first phase of treatment

Yes

Stefansson 2012

HDF versus HD

Physical functioning domain of IQOLA SF‐36 questionnaire

At day 60

With the exception of a lower score for social functioning with HDF (P < 0.05), there was no significant difference in quality of life between HD and HDF

No data were available for the end of the first phase of treatment

No

Verzetti 1998

AFB

Subjective well‐being

Monthly

Reported well‐being significantly higher in patients receiving AFB in multivariate analysis although unclear whether between‐groups comparison was reported

No data were available for the end of the first phase of treatment

No

Ward 2000

HDF versus HD

Kidney Disease Questionnaire

At 6 months and 1 year

No significant difference in scores in all five components of the scoring system between interventions

No

AFB ‐ acetate‐free biofiltration; HDF ‐ haemodiafiltration; HD ‐ haemodialysis; HF ‐ haemofiltration; SF‐36 ‐ Short‐Form Health Survey with 36 questions

Figuras y tablas -
Table 3. Summary of quality of life findings
Comparison 1. Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 All‐cause mortality Show forest plot

11

3396

Risk Ratio (IV, Random, 95% CI)

0.87 [0.72, 1.05]

2 Cardiovascular mortality Show forest plot

6

2889

Risk Ratio (IV, Random, 95% CI)

0.75 [0.61, 0.92]

3 Nonfatal cardiovascular event (rate/person‐years follow‐up) Show forest plot

1

Risk Ratio (IV, Random, 95% CI)

Totals not selected

4 Hospitalisation Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Subtotals only

4.1 Hospital admissions/year

1

45

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.07, 0.47]

4.2 Days spent in hospital

2

67

Mean Difference (IV, Random, 95% CI)

‐1.22 [‐7.47, 5.03]

5 Hospitalisation (rate/person‐years follow‐up) Show forest plot

2

400

Risk Ratio (IV, Random, 95% CI)

1.23 [0.93, 1.63]

6 Change of dialysis modality Show forest plot

5

2919

Risk Ratio (IV, Random, 95% CI)

0.87 [0.41, 1.84]

7 Hypotension during dialysis (rate/person‐years follow‐up) Show forest plot

Other data

No numeric data

8 Dialysis sessions with hypotension Show forest plot

2

42

Mean Difference (IV, Random, 95% CI)

‐4.05 [‐15.39, 7.30]

9 Predialysis blood pressure Show forest plot

7

Mean Difference (IV, Random, 95% CI)

Subtotals only

9.1 Systolic blood pressure

7

1859

Mean Difference (IV, Random, 95% CI)

1.19 [‐1.46, 3.84]

9.2 Diastolic blood pressure

6

1154

Mean Difference (IV, Random, 95% CI)

‐0.25 [‐1.06, 0.56]

10 Maximal drop in blood pressure during dialysis Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

10.1 Systolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

11 Kidney diseases questionnaire and well‐being scores Show forest plot

3

Mean Difference (IV, Random, 95% CI)

Subtotals only

11.1 Inter‐dialysis patient well‐being score

1

67

Mean Difference (IV, Random, 95% CI)

0.60 [0.30, 0.90]

11.2 Physical symptoms

2

121

Mean Difference (IV, Random, 95% CI)

‐0.54 [‐1.52, 0.44]

11.3 Fatigue

1

45

Mean Difference (IV, Random, 95% CI)

0.0 [‐0.98, 0.98]

11.4 Depression

1

45

Mean Difference (IV, Random, 95% CI)

0.20 [‐0.50, 0.90]

11.5 Relationships

1

45

Mean Difference (IV, Random, 95% CI)

0.10 [‐0.73, 0.93]

11.6 Frustration

1

45

Mean Difference (IV, Random, 95% CI)

‐0.20 [‐1.61, 1.21]

12 Kt/V Show forest plot

14

2022

Mean Difference (IV, Random, 95% CI)

0.07 [‐0.00, 0.14]

13 Urea reduction ratio Show forest plot

3

879

Std. Mean Difference (IV, Random, 95% CI)

0.39 [0.06, 0.72]

14 Predialysis serum B2 microglobulin Show forest plot

12

1813

Mean Difference (IV, Random, 95% CI)

‐5.55 [‐9.11, ‐1.98]

15 B2 microglobulin clearance Show forest plot

3

65

Mean Difference (IV, Random, 95% CI)

13.05 [‐5.94, 32.04]

16 Dialysate B2 microglobulin level Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

17 Data from cross‐over studies Show forest plot

Other data

No numeric data

17.1 Hospitalisation

Other data

No numeric data

17.2 Patients experiencing hypotension

Other data

No numeric data

17.3 Intradialytic hypotensive events

Other data

No numeric data

17.4 Symptomatic intradialytic hypotensive events

Other data

No numeric data

17.5 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.6 Predialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.7 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.8 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.9 Postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.10 Postdialysis fall in systolic blood pressure (mm Hg)

Other data

No numeric data

17.11 Postdialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.12 Difference between pre‐ and postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

17.13 Difference between pre‐ and postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

17.14 Intradialysis mean systolic blood pressure (mm Hg)

Other data

No numeric data

17.15 Intradialysis mean diastolic blood pressure (mm Hg)

Other data

No numeric data

17.16 Intradialysis mean arterial pressure (mm Hg)

Other data

No numeric data

17.17 Kt/V

Other data

No numeric data

17.18 Urea reduction ratio

Other data

No numeric data

17.19 Predialysis serum B2 microglobulin level (mg/L)

Other data

No numeric data

Figuras y tablas -
Comparison 1. Convection (haemofiltration/haemodiafiltration/acetate‐free biofiltration) versus haemodialysis
Comparison 2. Convection versus convection (haemofiltration versus haemodiafiltration)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 All‐cause mortality Show forest plot

1

Risk Ratio (M‐H, Random, 95% CI)

Totals not selected

2 Predialysis blood pressure Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

2.1 Systolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

2.2 Diastolic blood pressure

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

3 Kt/V Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

4 Data from cross‐over studies Show forest plot

Other data

No numeric data

4.1 Days spent in hospital

Other data

No numeric data

4.2 Average number of episodes of hypotension/patient/month

Other data

No numeric data

4.3 Number of patients experiencing hypotension

Other data

No numeric data

4.4 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

4.5 Predialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

4.6 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

4.7 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

4.8 Postdialysis diastolic blood pressure (mm Hg)

Other data

No numeric data

4.9 Postdialysis mean arterial blood pressure (mm Hg)

Other data

No numeric data

4.10 Number of patients experiencing hypertension

Other data

No numeric data

4.11 Kt/V

Other data

No numeric data

4.12 Predialysis serum B2 microglobulin (mg/L)

Other data

No numeric data

4.13 B2 microglobulin clearance (mL/min)

Other data

No numeric data

Figuras y tablas -
Comparison 2. Convection versus convection (haemofiltration versus haemodiafiltration)
Comparison 3. Convection versus convection (haemodiafiltration versus acetate‐free biofiltration)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Data from cross‐over studies Show forest plot

Other data

No numeric data

1.1 Number of hospitalisations/patient during observation period

Other data

No numeric data

1.2 Length of hospitalisation stay/patient (days/patient)

Other data

No numeric data

1.3 Number of dialysis sessions with hypotension

Other data

No numeric data

1.4 Predialysis systolic blood pressure (mm Hg)

Other data

No numeric data

1.5 Predialysis mean arterial pressure (mm Hg)

Other data

No numeric data

1.6 Postdialysis systolic blood pressure (mm Hg)

Other data

No numeric data

1.7 Interdialysis symptom score

Other data

No numeric data

1.8 Kt/V

Other data

No numeric data

1.9 Urea reduction ratio

Other data

No numeric data

1.10 Predialysis B2 microglobulin (mg/L)

Other data

No numeric data

1.11 Number of dialysis sessions with side effects (nausea, vomiting, headaches)

Other data

No numeric data

Figuras y tablas -
Comparison 3. Convection versus convection (haemodiafiltration versus acetate‐free biofiltration)