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Les programmes d'échange des aiguilles et seringues et la thérapie de substitution aux opiacés pour prévenir la transmission de l'hépatite C chez les utilisateurs de drogues injectables

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Referencias

Aitken 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Paul Dietz 1st November 2016. CENTRAL

Bruneau 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Julie Bruneau 1st November 2016. CENTRAL

Craine 2009 {published data only}

Craine N, Hickman M, Parry JV, Smith J, Walker AM, Russell D, et al. Incidence of hepatitis C in drug injectors: the role of homelessness, opiate substitution treatment, equipment sharing, and community size. Epidemiology and Infection 2009;137(9):1255‐65. CENTRAL

Crofts 1997 {published data only}

Crofts N, Nigro L, Oman K, Stevenson E, Sherman J. Methadone maintenance and hepatitis C virus infection among injecting drug users. Addiction 1997;92(8):999‐1005. CENTRAL

Hagan 1995 {published data only}

Hagan H, Des Jarlais DC, Friedman SR, Purchase D, Alter MJ. Reduced risk of hepatitis B and hepatitis C among injection drug users in the Tacoma syringe exchange program. American Journal of Public Health 1995;85(11):1531‐7. CENTRAL

Hagan 1999 {published data only}

Hagan H, McGough JP, Thiede H, Weiss NS, Hopkins S, Alexander ER. Syringe exchange and risk of infection with hepatitis B and C viruses. American Journal of Epidemiology 1999;149(3):203‐13. CENTRAL

Holtzman 2009 {published data only}

Holtzman D, Barry V, Ouellet LJ, Des Jarlais DC, Vlahov D, Golub ET, et al. The influence of needle exchange programs on injection risk behaviors and infection with hepatitis C virus among young injection drug users in select cities in the United States, 1994‐2004. Preventive Medicine 2009;49(1):68‐73. CENTRAL

Hope 2011 {published data only}

Hope VD, Hickman M, Ngui SL, Jones S, Telfer M, Bizzarri M, et al. Measuring the incidence, prevalence and genetic relatedness of hepatitis C infections among a community recruited sample of injecting drug users, using dried blood spots. Journal of Viral Hepatitis 2011;18(4):262‐70. CENTRAL

Hope 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Vivian Hope 1st November 2015. CENTRAL

Judd 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Ali Judd 1st November 2015. CENTRAL

Lucidarme 2004 {published data only}

Bruandet A, Lucidarme D, Decoster A, Ilef D, Harbonnier J, Jacob C, et al. Incidence and risk factors of HCV infection in a cohort of intravenous drug users in the North and East of France [Incidence et facteurs de risque de la seroconversion au virus de l'hepatite C dans une cohorte d'usagers de drogue intraveineux du nord‐est de la France]. Revue d'Epidemiologie et de Sante Publique 2006;54(HS1):1S15‐22. CENTRAL
Lucidarme D, Bruandet A, Ilef D, Harbonnier J, Jacob C, Decoster A, et al. Incidence and risk factors of HCV and HIV infections in a cohort of intravenous drug users in the North and East of France. Epidemiology and Infection 2004;132(4):699‐708. CENTRAL

Maher 2015 {unpublished data only}

Unpublished dataset [pers comm]. Email to: Meghan Morris 1st November 2016. CENTRAL

Mehta 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Shruti Mehta 1st November 2015. CENTRAL

Nolan 2014 {published data only}

Nolan S, Dias Lima V, Fairbairn N, Kerr T, Montaner J, Grebely J, et al. The impact of methadone maintenance therapy on hepatitis C incidence among illicit drug users. Addiction 2014;109(12):2053‐9. CENTRAL

Page 2015 [pers comm] {unpublished data only}

Unpublished dataset [personal communication]. Email to: Kimberly Page 1st November 2015. CENTRAL

Palmateer 2014a {published data only}

Allen EJ, Palmateer NE, Hutchinson SJ, Cameron S, Goldberg DJ, Taylor A. Association between harm reduction intervention uptake and recent hepatitis C infection among people who inject drugs attending sites that provide sterile injecting equipment in Scotland. International Journal on Drug Policy 2012;23(5):346‐52. CENTRAL
Palmateer N, Taylor A, Goldberg DJ, Munro A, Aitken C, Shepherd SJ, et al. Risk of transmission associated with sharing drug injecting paraphernalia: Analysis of recent hepatitis C virus (HCV) infection using cross‐sectional survey data. Journal of Viral Hepatitis 2014;21(1):25‐32. CENTRAL
Palmateer NE, Taylor A, Goldberg DJ, Munro A, Aitken C, Shepherd SJ, et al. Rapid decline in HCV incidence among people who inject drugs associated with national scale‐up in coverage of a combination of harm reduction interventions. PLOS ONE 2014;9(8):e104515. CENTRAL

Patrick 2001 {published data only}

Patrick DM, Tyndall MW, Cornelisse PGA, Li K, Sherlock CH, Rekart ML, et al. Incidence of hepatitis C virus infection among injection drug users during an outbreak of HIV infection. Canadian Medical Association Journal 2001;165(7):889‐95. CENTRAL

Rezza 1996 {published data only}

Rezza G, Sagliocca L, Zaccarelli M, Nespoli M, Siconolfi M, Baldassarre C. Incidence rate and risk factors for HCV seroconversion among injecting drug users in an area with low HIV seroprevalence. Scandinavian Journal of Infectious Diseases 1996;28(1):27‐9. CENTRAL

Roy 2007 {published data only}

Roy E, Alary M, Morissette C, Leclerc P, Boudreau JF, Parent R, et al. High hepatitis C virus prevalence and incidence among Canadian intravenous drug users. International Journal of STD & AIDS 2007;18(1):23‐7. CENTRAL

Ruan 2007 {published data only}

Ruan Y, Qin G, Yin L, Chen K, Qian H‐Z, Hao C, et al. Incidence of HIV, hepatitis C and hepatitis B viruses among injection drug users in southwestern China: A 3‐year follow‐up study. AIDS 2007;21(Suppl 8):S39‐46. CENTRAL

Spittal 2012 {published data only}

Spittal PM, Pearce ME, Chavoshi N, Christian WM, Moniruzzaman A, Teegee M, et al. The Cedar Project: high incidence of HCV infections in a longitudinal study of young Aboriginal people who use drugs in two Canadian cities. BMC Public Health 2012;12:632. CENTRAL

Thiede 2000 {published data only}

Thiede H, Hagan H, Murrill CS. Methadone treatment and HIV and hepatitis B and C risk reduction among injectors in the Seattle area.. Journal of Urban Health 2000;77(3):331‐45. CENTRAL

Thorpe 2002 {published data only}

Thorpe LE, Ouellet LJ, Hershow R, Bailey SL, Williams IT, Williamson J, et al. Risk of hepatitis C virus infection among young adult injection drug users who share injection equipment. American Journal of Epidemiology 2002;155(7):645‐53. CENTRAL

Tsui 2014 {published data only}

Tsui JI, Evans JL, Lum PJ, Hahn JA, Page K. Association of opioid agonist therapy with lower incidence of hepatitis C virus infection in young adult injection drug users. JAMA Internal Medicine 2014;174(12):1974‐81. CENTRAL

Vallejo 2015 {published data only}

Vallejo F, Barrio G, Brugal MT, Pulido J, Toro C, Sordo L, et al. High hepatitis C virus prevalence and incidence in a community cohort of young heroin injectors in a context of extensive harm reduction programmes. Journal of Epidemiology & Community Health 2015;69(6):599‐603. CENTRAL

Van Beek 1998 {published data only}

Van Beek I, Dwyer R, Dore G J, Luo K, Kaldor JM. Infection with HIV and hepatitis C virus among injecting drug users in a prevention setting: retrospective cohort study. BMJ 1998;317(7156):433‐7. CENTRAL

Van Den Berg 2007 {published data only}

Van Den Berg C, Smit C, Van Brussel G, Coutinho R, Prins M. Full participation in harm reduction programmes is associated with decreased risk for human immunodeficiency virus and hepatitis C virus: evidence from the Amsterdam Cohort Studies among drug users. Addiction 2007;102(9):1454‐62. CENTRAL

White 2014 {published data only}

White B, Dore GJ, Lloyd AR, Rawlinson WD, Maher L. Opioid substitution therapy protects against hepatitis C virus acquisition in people who inject drugs: the HITS‐c study. Medical Journal of Australia 2014;201(6):326‐9. CENTRAL

Aubisson 2006 {published data only}

Aubisson S, Carrieri P, Lovell A‐M, Ben Diane M‐K, Peretti‐Watel P, Spire B. New tools for preventing and evaluating risk practices for hepatitis C transmission among injection drug users: some reflections on injection rooms and the measurement of risk‐taking behaviors [Quels nouveaux outils pour prevenir et evaluer les pratiques a risque chez les injecteurs de drogue face au VHC? Reflexions sur les salles d'injection et les outils de mesure des prises de risques]. Revue d'Epidemiologie et de Sante Publique 2006;54(Spec No 1):1S69‐75. CENTRAL

Azim 2005 {published data only}

Azim T, Hussein N, Kelly R. Effectiveness of harm reduction programmes for injecting drug users in Dhaka city. Harm Reduction Journal 2005;2:22. CENTRAL

Bayoumi 2008 {published data only}

Bayoumi AM, Zaric GS. The cost‐effectiveness of Vancouver's supervised injection facility. CMAJ 2008;179:1143‐51. CENTRAL

Burt 2007 {published data only}

Burt RD, Hagan H, Garfein RS, Sabin K, Weinbaum C, Thiede H. Trends in hepatitis B virus, hepatitis C virus, and human immunodeficiency virus prevalence, risk behaviors, and preventive measures among Seattle injection drug users aged 18‐30 years, 1994‐2004. Urban Health 2007;84(3):436‐54. CENTRAL

Buxton 2010 {published data only}

Buxton JA, Kuo ME, Ramji S, Yu A, Krajden M. Methadone use in relation to hepatitis C virus testing in British Columbia. Canadian Journal of Public Health. Revue Canadienne de Sante Publique 2010;101(6):491‐4. CENTRAL

Collins 2009 {published data only}

Collins R, Ewing D, Boggs B, Patterson D. Opiate substitution prescribing in Belfast ‐ two year follow up study. Irish Journal of Psychological Medicine 2009;26(4):183‐6. CENTRAL

Cox 2000 {published data only}

Cox GM, Lawless MC, Cassin SP, Geoghegan TW. Syringe exchanges: a public health response to problem drug use. Irish Medical Journal 2000;93(5):143‐6. CENTRAL

Crofts 1993 {published data only}

Crofts N, Hopper JL, Bowden DS, Breschkin AM, Milner R, Locarnini SA. Hepatitis C virus infection among a cohort of Victorian injecting drug users. Medical Journal of Australia 1993;159(4):237‐41. CENTRAL

Des Jarlais 2005 {published data only}

Des Jarlais DC, Perlis T, Arasteh K, Torian LV, Hagan H, Beatrice S, et al. Reductions in hepatitis C virus and HIV infections among injecting drug users in New York City, 1990‐2001. AIDS 2005;19:S20‐5. CENTRAL

Des Jarlais 2007 {published data only}

Des Jarlais DC, Arasteh K, Perlis T, Hagan H, Abdul‐Quader A, Heckathorn DD, et al. Convergence of HIV seroprevalence among injecting and non‐injecting drug users in New York City. AIDS 2007;21(2):231‐5. CENTRAL

De Vos 2012 {published data only}

De Vos AS, Van Der Helm JJ, Prins M, Kretzschmar MEE. Decline in incidence of HIV and hepatitis C virus infection among injecting drug users in Amsterdam: Evidence for harm reduction?. Journal of the International AIDS Society 2012;15:78. CENTRAL

Dubois‐Arber 2008 {published data only}

Dubois‐Arber F, Balthasar H, Huissoud T, Zobel F, Arnaud S, Samitca S, et al. Trends in drug consumption and risk of transmission of HIV and hepatitis C virus among injecting drug users in Switzerland, 1993‐2006. Euro Surveillance: Bulletin Europeen sur les Maladies Transmissibles = European Communicable Disease Bulletin 2008;13:22. Erratum in: Euro Surveill. 2008 May 29;13(22). pii: 18887. CENTRAL

Emmanuelli 2005 {published data only}

Emmanuelli J, Desenclos J‐C. "Harm reduction interventions, behaviours and associated health outcomes in France, 1996‐2003": Corrigendum. Addiction 2006;101(4):616. CENTRAL
Emmanuelli J, Desenclos J‐C. Harm reduction interventions, behaviours and associated health outcomes in France, 1996‐2003. Addiction 2005;100(11):1690‐700. CENTRAL

Esteban 2003 {published data only}

Esteban J, Gimeno C, Aragones A, Barril J, de la Cruz Pellin M. Prevalence of infection by HIV and hepatitis C virus in a cohort of patients on methadone treatment [Prevalencia de infeccion por virus de la inmunodeficiencia humana y hepatitis C en una cohorte de pacientes en tratamiento de mantenimiento con metadona]. Medicina Clinica 2003;120(20):765‐7. CENTRAL

Falster 2009 {published data only}

Falster K, Kaldor JM, Maher L. Hepatitis C virus acquisition among injecting drug users: a cohort analysis of a national repeated cross‐sectional survey of needle and syringe program attendees in Australia, 1995‐2004. Urban Health 2009;86:106‐18. CENTRAL

Fatseas 2012 {published data only}

Fatseas M, Denis C, Serre F, Dubernet J, Daulouede JP, Auriacombe M. Change in HIV‐HCV risk‐taking behavior and seroprevalence among opiate users seeking treatment over an 11‐year period and harm reduction policy. AIDS and Behavior 2012;16(7):2082‐90. CENTRAL

Fhima 2001 {published data only}

Fhima A, Henrion R, Lowenstein W, Charpak Y. Two‐year follow‐up of an opioid‐user cohort treated with high‐dose buprenorphine (Subutex) [Suivi a 2 ans d'une cohorte de patients dependants aux opiaces traites par buprenorphine haut dosage (Subutex)]. Annales De Medecine Interne (Paris) 2001;152(Suppl 3):IS26‐36. CENTRAL

Fudala 2003 {published data only}

Fudala PJ, Bridge TP, Herbert S, Williford WO, Chiang CN, Jones K, et al. Office‐based treatment of opiate addiction with a sublingual‐tablet formulation of buprenorphine and naloxone. New England Journal of Medicine 2003;349(10):949‐58. CENTRAL

Fuller 2004 {published data only}

Fuller CM, Ompad DC, Galea S, Wu Y, Koblin B, Vlahov D. Hepatitis C incidence‐‐a comparison between injection and noninjection drug users in New York City. Journal of Urban Health 2004;81(1):20‐4. CENTRAL

Galeazzl 1995 {published data only}

Galeazzl B, Tufano A, Barbierato E, Bortolotti F. Hepatitis C virus infection in Italian intravenous drug users: Epidemiological and clinical aspects. Liver 1995;15(4):209‐12. CENTRAL

Gambashidze 2008 {published data only}

Gambashidze N, Sikharulidze Z, Piralishvili G, Gvakharia N. Evaluation of pilot methadone maintenance therapy in Georgia (Caucasus). Georgian Medical News 2008;N/A(160‐1):25‐30. CENTRAL

Garfein 1998 {published data only}

Garfein RS, Doherty MC, Monterroso ER, Thomas DL, Nelson KE, Vlahov D. Prevalence and incidence of hepatitis C virus infection among young adult injection drug users. Journal of Acquired Immune Deficiency Syndromes 1998;18(Suppl 1):S11‐9. CENTRAL

Garfein 2007 {published data only}

Garfein RS, Golub ET, Greenberg AE, Hagan H, Hanson DL, Hudson SM, et al. A peer‐education intervention to reduce injection risk behaviors for HIV and hepatitis C virus infection in young injection drug users. AIDS 2007;21(14):1923‐32. CENTRAL

Garten 2004 {published data only}

Garten RJ, Lai S, Zhang J, Liu W, Chen J, Vlahov D, et al. Rapid transmission of hepatitis C virus among young injecting heroin users in Southern China. International Journal of Epidemiology 2004;33(1):182‐8. CENTRAL

Gervasoni 2012 {published data only}

Gervasoni J‐P, Balthasar H, Huissoud T, Jeannin A, Dubois‐Arber F. A high proportion of users of low‐threshold facilities with needle exchange programmes in Switzerland are currently on methadone treatment: Implications for new approaches in harm reduction and care. International Journal on Drug Policy 2012;23(1):33‐6. CENTRAL

Goldberg 1998 {published data only}

Goldberg D, Cameron S, McMenamin J. Hepatitis C virus antibody prevalence among injecting drug users in Glasgow has fallen but remains high. Communicable Disease and Public Health 1998;1(2):95‐7. CENTRAL

Goldberg 2001 {published data only}

Goldberg D, Burns S, Taylor A, Cameron S, Hargreaves D, Hutchinson S. Trends in HCV prevalence among injecting drug users in Glasgow and Edinburgh during the era of needle/syringe exchange. Scandinavian Journal of Infectious Diseases 2001;33(6):457‐61. CENTRAL

Goswami 2014 {published data only}

Goswami P, Medhi GK, Armstrong G, Setia MS, Mathew S, Thongamba G, et al. An assessment of an HIV prevention intervention among People Who Inject Drugs in the states of Manipur and Nagaland, India. International Journal on Drug Policy 2014;25(5):853‐64. CENTRAL

Grebely 2013 {published data only}

Grebely J, Bruggmann P, Backmund M, Dore G J. Prevention and management of hepatitis C virus infection among people who inject drugs: moving the agenda forward. International Symposium on Hepatitis in Substance Users, Brussels, Belgium, 15‐16 September 2011. Clinical Infectious Diseases 2013;57:S29‐S137. CENTRAL

Grebely 2014 {published data only}

Grebely J, Lima VD, Marshall BDL, Milloy M‐J, DeBeck K, Montaner J, et al. Declining incidence of hepatitis C virus infection among people who inject drugs in a Canadian setting, 1996‐2012. PLOS ONE 2014;9(6):e97726. [DOI: 10.1371/journal.pone.0097726]CENTRAL

Guadagnino 1995 {published data only}

Guadagnino V, Zimatore G, Izzi A, Caroleo B, Rocca A, Montesano F, et al. Relevance of intravenous cocaine use in relation to prevalence of HIV, hepatitis B and C virus markers among intravenous drug abusers in southern Italy. Journal of Clinical & Laboratory Immunology 1995;47(1):1‐9. CENTRAL

Hagan 2000 {published data only}

Hagan H, Mcgough JP, Thiede H, Hopkins SG, Weiss N S, Alexander ER. Volunteer bias in nonrandomized evaluations of the efficacy of needle‐exchange programs. Journal of Urban Health‐Bulletin of the New York Academy of Medicine 2000;77(1):103‐12. CENTRAL

Heimer 1999 {published data only}

Heimer R. Syringe exchange programs: lowering the transmission of syringe‐borne diseases and beyond. Public Health 1999;113(Suppl 1):67‐74. CENTRAL

Higgs 2012 {published data only}

Higgs P, Aitken C, Cogger S, Papanastasiou C, Dietze P. Hepatitis C incidence in the Melbourne injecting drug user cohort study: 2009‐2012. Drug and Alcohol Review 2012;31:33. CENTRAL

Jackson 2014 {published data only}

Jackson JB, Wei L, Liping F, Aramrattana A, Celentano DD, Walshe L, et al. Prevalence and seroincidence of hepatitis B and hepatitis C infection in high risk people who inject drugs in China and Thailand. Hepatitis Research and Treatment 2014;2014:296958. [DOI: 10.1155/2014/296958]CENTRAL

Javanbakht 2014 {published data only}

Javanbakht M, Mirahmadizadeh A, Mashayekhi A. The long‐term effectiveness of methadone maintenance treatment in prevention of hepatitis C virus among illicit drug users: a modeling study. Iranian Red Crescent Medical Journal 2014;16(2):e13484. [DOI: 10.5812/ircmj.13484]CENTRAL

Judd 2005 {published data only}

Judd A, Hickman M, Jones S, McDonald T, Parry JV, Stimson GV, et al. Incidence of hepatitis C virus and HIV among new injecting drug users in London: prospective cohort study. BMJ 2005;330(7481):24‐5. CENTRAL

Kwon 2009 {published data only}

Kwon JA, Iversen J, Maher L, Law MG, Wilson DP. The impact of needle and syringe programs on HIV and HCV transmissions in injecting drug users in Australia: a model‐based analysis. Journal of Acquired Immune Deficiency Syndromes 2009;51(4):462‐9. CENTRAL

Lai 2001 {published data only}

Lai S, Liu W, Chen J, Yang J, Li Z‐J, Li R‐J, et al. Changes in HIV‐1 incidence in heroin users in Guangxi Province, China. Journal of Acquired Immune Deficiency Syndromes 2001;26(4):365‐70. CENTRAL

Larney 2015 {published data only}

Larney S, Grebely J, Falster M, Swart A, Amin J, Degenhardt L, et al. Opioid substitution therapy is associated with increased detection of hepatitis C virus infection: a 15‐year observational cohort study. Drug and Alcohol Dependence 2015;148:213‐6. CENTRAL

Mansson 2000 {published data only}

Mansson AS, Moestrup T, Nordenfelt E, Widell A. Continued transmission of hepatitis B and C viruses, but no transmission of human immunodeficiency virus among intravenous drug users participating in a syringe/needle exchange program. Scandinavian Journal of Infectious Diseases 2000;32(3):253‐8. CENTRAL

Mikolajczyk 2013 {published data only}

Mikolajczyk R, Prins M, Wiesing L, Kretzschmar M. Trajectories of injecting behaviour in the Amsterdam Cohort Study among drug users. European Journal of Epidemiology 2013;28:S13‐4. CENTRAL

Moshkovich 2000 {published data only}

Moshkovich GF, Pikovskaia ED, Fedotova NV, Shilov DV, Kuznetsov AV, Moiseev AP. The prevention of HIV infection and other blood‐contact diseases among intravenous narcotic users in Nizhniy Novgorod within the framework of the Harm Reduction program [Profilaktika VICh‐infektsii i drugikh gemokontaktnykh zabolevanii sredi potrebitelei vnutrivennykh narkotikov Nizhnego Novgoroda v ramkakh programmy "Snizhenie vreda"]. Zhurnal Mikrobiologii, Epidemiologii, i Immunobiologii 2000, (4):78‐82. CENTRAL

Muga 2006 {published data only}

Muga R, Sanvisens A, Bolao F, Tor J, Santesmases J, Pujol R, et al. Significant reductions of HIV prevalence but not of hepatitis C virus infections in injection drug users from metropolitan Barcelona: 1987‐2001. Drug and Alcohol Dependence 2006;82:S29‐33. CENTRAL

Nasir 2011 {published data only}

Nasir A, Todd CS, Stanekzai MR, Bautista CT, Botros BA, Scott PT, et al. Implications of hepatitis C viremia vs. antibody alone on transmission among male injecting drug users in three Afghan cities. International Journal of Infectious Diseases 2011;15(3):e201‐5. CENTRAL

Page 2009 {published data only}

Page K, Hahn JA, Evans J, Shiboski S, Lum P, Delwart E, et al. Acute hepatitis C virus infection in young adult injection drug users: a prospective study of incident infection, resolution, and reinfection. Journal of Infectious Diseases 2009;200(8):1216‐26. CENTRAL

Page 2013 {published data only}

Page K, Osburn W, Evans J, Hahn J, Cox A, Busch M. Controlling hepatitis C virus (HCV): reinfection and intercalation and clearance of viremia in highly exposed young injectors. Journal of Hepatology 2011;54:S463. CENTRAL
Page K, Osburn W, Evans J, Hahn JA, Lum P, Asher A, et al. Frequent longitudinal sampling of hepatitis C virus infection in injection drug users reveals intermittently detectable viremia and reinfection. Clinical Infectious Diseases 2013;56(3):405‐13. CENTRAL

Palmateer 2014b {published data only}

Palmateer N, Hutchinson S, McAllister G, Munro A, Cameron S, Goldberg D, et al. Risk of transmission associated with sharing drug injecting paraphernalia: analysis of recent hepatitis C virus (HCV) infection using cross‐sectional survey data. Journal of Viral Hepatitis 2014;21(1):25‐32. CENTRAL

Paquette 2010 {published data only}

Paquette C, Roy E, Petit G, Boivin J‐F. Predictors of crack cocaine initiation among Montreal street youth: a first look at the phenomenon. Drug and Alcohol Dependence 2010;110(1‐2):85‐91. CENTRAL

Parrino 2003 {published data only}

Parrino MW. Drug Court Fact Sheet: methadone maintenance and other pharmacotherapeutic interventions in the treatment of opioid dependence. Journal of Maintenance in the Addictions 2003;2:85‐93. CENTRAL

Pedrana 2009 {published data only}

Pedrana A, Aitken C, Higgs P, Spelman T, Bowden S, Bharadwaj M, et al. High incidence of hepatitis C virus resolution and reinfection in a cohort of injecting drugs users. Drug and Alcohol Review 2009;28:A50‐1. CENTRAL

Peles 2011 {published data only}

Peles E, Schreiber S, Rados V, Adelson M. Low risk for hepatitis C seroconversion in methadone maintenance treatment. Journal of Addiction Medicine 2011;5(3):214‐20. CENTRAL

Pollack 2001 {published data only}

Pollack HA. Cost‐effectiveness of harm reduction in preventing hepatitis C among injection drug users. Medical Decision Making 2001;21(5):357‐67. CENTRAL

Pratt 2002 {published data only}

Pratt Udeagu CCN, Paone D, Carter R J, Layton M C. Hepatitis C screening and management practices: a survey of drug treatment and syringe exchange programs in New York City. American Journal of Public Health 2002;92(8):1254‐6. CENTRAL

Robotin 2004 {published data only}

Robotin MC, Copland J, Tallis G, Coleman D, Giele C, Carter L, et al. Surveillance for newly acquired hepatitis C in Australia. Journal of Gastroenterology and Hepatology 2004;19:283‐8. CENTRAL

Rohrig 1990 {published data only}

Rohrig S, Grob PJ. Infection with hepatitis viruses HAV, HBV and HCV as well as with AIDS virus HIV in drug addicts of the Zurich street scene‐‐a prevalence study [Infektionen mit den Hepatitisviren HAV, HBV und HCV sowie mit dem Aidsvirus HIV bei Drogenabhangigen der Gassenszene Zurichs‐‐eine Pravalenzstudie]. Schweizerische Medizinische Wochenschrift 1990;120(17):621‐9. CENTRAL

Roux 2012 {published data only}

Roux P, Michel L, Cohen J, Mora M, Morel A, Aubertin JF, et al. Methadone induction in primary care (ANRS‐Methaville): a phase III randomized intervention trial. BMC Public Health 2012;12:488. CENTRAL

Roux 2014 {published data only}

Roux P, Lions C, Michel L, Mora M, Daulouede J P, Marcellin F, et al. Factors associated with HCV risk practices in methadone‐maintained patients: the importance of considering the couple in prevention interventions. Substance Abuse Treatment, Prevention, and Policy 2014;9:37. CENTRAL

Roy 2009 {published data only}

Roy E, Boudreau J‐F, Boivin J‐F. Hepatitis C virus incidence among young street‐involved IDUs in relation to injection experience. Drug and Alcohol Dependence 2009;102(1‐3):158‐61. CENTRAL

Roy 2012 {published data only}

Roy E, Arruda N, Leclerc P, Haley N, Bruneau J, Boivin J‐F. Injection of drug residue as a potential risk factor for HCV acquisition among Montreal young injection drug users. Drug and Alcohol Dependence 2012;126:246‐50. CENTRAL

Ruan 2013 {published data only}

Ruan Y, Liang S, Zhu J, Li X, Pan SW, Liu Q, et al. Evaluation of harm reduction programs on seroincidence of HIV, hepatitis B and C, and syphilis among intravenous drug users in Southwest China. Sexually Transmitted Diseases 2013;40(4):323‐8. CENTRAL

Samo 2013 {published data only}

Samo RN, Altaf A, Agha A, Pasha O, Rozi S, Memon A, et al. High HIV incidence among persons who inject drugs in Pakistan: greater risk with needle sharing and injecting frequently among the homeless. PLOS ONE 2013;8:e81715. [DOI: 10.1371/journal.pone.0081715]CENTRAL

Sanders‐Buell 2013 {published data only}

Sanders‐Buell E, Rutvisuttinunt W, Todd CS, Nasir A, Bradfield A, Lei E, et al. Hepatitis C genotype distribution and homology among geographically disparate injecting drug users in Afghanistan. Journal of Medical Virology 2013;85(7):1170‐9. CENTRAL

Seal 2004 {published data only}

Seal KH, Monto A, Dove L, Vittinghoff E, Shen H, Tracy D, et al. Determinants of hepatitis C viral RNA levels among a cohort of injection drug users with and without human immunodeficiency virus coinfection. Hepatology 2004;40:403A. CENTRAL
Selvey LA, Denton M, Plant AJ. Incidence and prevalence of hepatitis C among clients of a Brisbane methadone clinic: Factors influencing hepatitis C serostatus. Australian and New Zealand Journal of Public Health 1997;21(1):102‐4. CENTRAL

Selvey 1997 {published data only}

Selvey LA, Denton M, Plant AJ. Incidence and prevalence of hepatitis C among clients of a Brisbane methadone clinic: Factors influencing hepatitis C serostatus. Australia and New Zealand Journal of Public Health 1997;21(1):102‐104. CENTRAL

Sendi 2003 {published data only}

Sendi P, Hoffmann M, Bucher HC, Erb P, Haller P, Gyr N, et al. Intravenous opiate maintenance in a cohort of injecting drug addicts. Drug and Alcohol Dependence 2003;69(2):183‐8. CENTRAL

Shannon 2010 {published data only}

Shannon K, Kerr T, Marshall B, Li K, Zhang R, Strathdee SA, et al. Survival sex work involvement as a primary risk factor for hepatitis C virus acquisition in drug‐using youths in a Canadian setting. Archives of Pediatrics and Adolescent Medicine 2010;164(1):61‐5. CENTRAL

Shi 2007 {published data only}

Shi J, Zhao LY, Epstein DH, Zhao CZ, Shuai YL, Yan B, et al. The effect of methadone maintenance on illicit opioid use, human immunodeficiency virus and hepatitis C virus infection, health status, employment, and criminal activity among heroin abusers during 6 months of treatment in China. Journal of Addiction Medicine 2007;1(4):186‐90. CENTRAL

Solomon 2010 {published data only}

Solomon SS, Celentano DD, Srikrishnan AK, Vasudevan CK, Murugavel KG, Iqbal SH, et al. Low incidences of human immunodeficiency virus and hepatitis C virus infection and declining risk behaviors in a cohort of injection drug users in Chennai, India. American Journal of Epidemiology 2010;172(11):1259‐67. CENTRAL

Spencer 1997 {published data only}

Spencer JD, Latt N, Beeby PJ, Collins E, Saunders JB, McCaughan GW, et al. Transmission of hepatitis C virus to infants of human immunodeficiency virus‐negative intravenous drug‐using mothers: rate of infection and assessment of risk factors for transmission. Journal of Viral Hepatitis 1997;4(6):395‐409. CENTRAL

Steffen 2001 {published data only}

Steffen T, Blattler R, Gutzwiller F, Zwahlen M. HIV and hepatitis virus infections among injecting drug users in a medically controlled heroin prescription programme. European Journal of Public Health 2001;11(4):425‐30. CENTRAL

Stein 2009 {published data only}

Stein MD, Herman DS, Anderson BJ. A trial to reduce hepatitis C seroincidence in drug users. Journal of Addictive Diseases 2009;28(4):389‐98. CENTRAL

Stephens 2011 {published data only}

Stephens BP, Tait J, Dillon JF. Is it worth testing unstable drug users for hepatitis C?. Hepatology 2011;54:844A. CENTRAL

Stephens 2013 {published data only}

Stephens BP, Tait J, Evans M, Dillon JF. The natural history of the acquisition of HCV in chaotic PWID. Hepatology 2013;58:1103A. CENTRAL

Strathdee 1997 {published data only}

Strathdee SA, Patrick DM, Currie SL, Cornelisse PGA, Rekart ML, Montaner JSG, et al. Needle exchange is not enough: Lessons from the Vancouver injecting drug use study. AIDS 1997;11:F59‐65. CENTRAL

Sullivan 2005 {published data only}

Sullivan LE, Chawarski M, O'Connor PG, Schottenfeld RS, Fiellin DA. The practice of office‐based buprenorphine treatment of opioid dependence: Is it associated with new patients entering into treatment?. Drug and Alcohol Dependence 2005;79(1):113‐6. CENTRAL

Sylvestre 2006 {published data only}

Sylvestre D. Hepatitis C treatment in drug users: perception versus evidence. European Journal of Gastroenterology & Hepatology 2006;18(2):129‐30. CENTRAL

Tait 2013a {published data only}

Tait JM, Stephens BP, McIntyre P, Evans M, Dillon JF. Dry blood spot testing for hepatitis C in people who injected drugs: reaching the populations other tests cannot reach. Journal of Hepatology 2013;58:S204. CENTRAL

Tait 2013b {published data only}

Tait J, Stephens BP, Evans M, Cleary S, Dillon JF. People who inject drugs (PWID): difficult to get into services, easy to cure. Hepatology 2013;58:1102A‐3A. CENTRAL

Todd 2015 {published data only}

Todd CS, Nasir A, Stanekzai MR, Fiekert K, Sipsma HL, Vlahov D, et al. Hepatitis C and HIV incidence and harm reduction program use in a conflict setting: an observational cohort of injecting drug users in Kabul, Afghanistan. Harm Reduction Journal 2015;12(1):Article Number: 22. [DOI: 10.1186/s12954‐015‐0056‐z]CENTRAL

Tracy 2014 {published data only}

Tracy D, Hahn JA, Fuller Lewis C, Evans J, Briceno A, Morris MD, et al. Higher risk of incident hepatitis C virus among young women who inject drugs compared with young men in association with sexual relationships: a prospective analysis from the UFO Study cohort. BMJ Open 2014;4(5):e004988. [DOI: 10.1136/bmjopen‐2014‐004988]CENTRAL

Tsirogianni 2013 {published data only}

Tsirogianni E, Kokkonis G, Tziokgas K, Tsekoura P, Stafilidou M, Sotiriadou K, et al. Incidence of new HCV infection or reinfection after successful anti‐HCV therapy among people who inject drugs attending a substitution treatment programme in northern Greece. Suchtmedizin in Forschung und Praxis 2013;15(4):260. CENTRAL

Tsui 2009 {published data only}

Tsui JI, Vittinghoff E, Hahn JA, Evans JL, Davidson PJ, Page K. Risk behaviors after hepatitis C virus seroconversion in young injection drug users in San Francisco. Drug and Alcohol Dependence 2009;105(1‐2):160‐3. CENTRAL

Valdez 2011 {published data only}

Valdez A, Neaigus A, Kaplan C, Cepeda A. High rates of transitions to injecting drug use among Mexican American non‐injecting heroin users in San Antonio, Texas (never and former injectors). Drug and Alcohol Dependence 2011;114(2‐3):233‐6. CENTRAL

Van Ameijden 1993 {published data only}

Van Ameijden EJ, Van den Hoek JA, Mientjes GH, Coutinho RA. A longitudinal study on the incidence and transmission patterns of HIV, HBV and HCV infection among drug users in Amsterdam. European Journal of Epidemiology 1993;9(3):255‐62. CENTRAL

Van den Hoek 1990 {published data only}

Van den Hoek JAR, Van Haastrecht HJA, Goudsmit J, De Wolf F, Coutinho RA. Prevalence, incidence, and risk factors of hepatitis C virus infection among drug users in Amsterdam. Journal of Infectious Diseases 1990;162(4):823‐6. CENTRAL

Van den Laar 2009 {published data only}

Van de Laar TJW, Molenkamp R, Van den Berg C, Schinkel J, Beld MGHM, Prins M, et al. Frequent HCV reinfection and superinfection in a cohort of injecting drug users in Amsterdam. Journal of Hepatology 2009;51(4):667‐74. CENTRAL

Van den Laar 2010 {published data only}

Van De Laar TJ, Rondy M, Bruisten SM, Prins M, van Ballegooijen M. Long term follow‐up of injecting drug users suggests protective immunity against HCV reinfection and superinfection with a similar genotype. Journal of Hepatology 2010;52:S262‐3. CENTRAL

Van Santen 2013 {published data only}

Van Santen DK, De Vos AS, Van Der Helm JJ, Grady BPX, Kretzschmar MEE, Stolte IG, et al. Temporal trends in mortality rates among drug users in Amsterdam compared to the general Dutch population differ by hepatitis C and HIV (co)infection status. Suchtmedizin in Forschung und Praxis 2013;15(4):235. CENTRAL

Villano 1997 {published data only}

Villano SA, Vlahov D, Nelson KE, Lyles CM, Cohn S, Thomas DL. Incidence and risk factors for hepatitis C among injection drug users in Baltimore, Maryland. Journal of Clinical Microbiology 1997;35(12):3274‐7. CENTRAL

Wand 2009 {published data only}

Wand H, Spiegelman D, Law M, Jalaludin B, Kaldor J, Maher L. Estimating population attributable risk for hepatitis C seroconversion in injecting drug users in Australia: Implications for prevention policy and planning. Addiction 2009;104(12):2049‐56. CENTRAL

Wang 2014 {published data only}

Wang L, Wei X, Wang X, Li J, Li H, Jia W. Long‐term effects of methadone maintenance treatment with different psychosocial intervention models. PLOS ONE 2014;9(2):e87931. [DOI: 10.1371/journal.pone.0087931]CENTRAL

Widell 2009 {published data only}

Widell A, Alanko M, Flamholc L, Jacobssen H, Molnegren V, Bjorkman P. Continued heavy transmission of HCV in a needle exchange program that is associated with minimal transmission of HIV. A nine year longitudinal cohort study. Journal of Hepatology 2009;50:S161. CENTRAL

Winkelstein 2013 {published data only}

Winkelstein ER, Edlin BR, Szott K, Shu MA, McKnight C, DesJarlais DC, et al. The SWAN Project: integrating research and service with a cohort of young people who use drugs at risk for hepatitis C in New York City. Suchtmedizin in Forschung und Praxis 2013;15:238. CENTRAL

Woody 2008 {published data only}

Woody GE, Poole SA, Subramaniam G, Dugosh K, Bogenschutz M, Abbott P, et al. Extended vs short‐term buprenorphine‐naloxone for treatment of opioid‐addicted youth: a randomized trial. JAMA 2008;300(17):2003‐11. CENTRAL

Yang 2011 {published data only}

Yang J, Oviedo‐Joekes E, Christian KWM, Li K, Louie M, Schechter M, et al. The Cedar Project: methadone maintenance treatment among young Aboriginal people who use opioids in two Canadian cities. Drug and Alcohol Review 2011;30(6):645‐51. CENTRAL

Yen 2012 {published data only}

Yen Y F, Yen M Y, Su L W, Li L H, Chuang P, Jiang X R, et al. Prevalences and associated risk factors of HCV/HIV co‐infection and HCV mono‐infection among injecting drug users in a methadone maintenance treatment program in Taipei, Taiwan. BMC Public Health 2012;12:1066. [DOI: 10.1186/1471‐2458‐12‐1066]CENTRAL

Zhao 2005 {published data only}

Zhao M, Wang QY, Lu GH, Xu P, Xu H, McCoy CB. Risk behaviors and HIV/AIDS prevention education among IDUs in drug treatment in Shanghai. Urban Health 2005;82:iv84‐91. CENTRAL

Zhou 2015 {published data only}

Zhou W, Wang X, Zhou S, Xie N, Liu P, Luo L, et al. Hepatitis C seroconversion in methadone maintenance treatment programs in Wuhan, China. Addiction 2015;110(5):796‐802. CENTRAL

Zou 2015 {published data only}

Zou X, Ling L, Zhang L. Trends and risk factors for HIV, HCV and syphilis seroconversion among drug users in a methadone maintenance treatment programme in China: a 7‐year retrospective cohort study. BMJ Open 2015;5(8):e008162. [DOI: 10.1136/bmjopen‐2015‐008162]CENTRAL

Zunt 2006 {published data only}

Zunt J, Tapia K, Thiede H, Lee R, Hagan H. HTLV‐2 infection in injection drug users in King County, Washington. Scandinavian Journal of Infectious Diseases 2006;38(8):654‐63. CENTRAL

References to studies awaiting assessment

Bruneau 2016 {published data only}

Bruneau J, Asward DJ, Zang G, Roy E. Effect of combined harm reduction strategies on HCV incidence among people who inject drugs in Montreal, Canada. Journal of Hepatology 2016;64(2):S462. CENTRAL

Chun 2006 {published data only}

Chun H, Li Z, Yuhua R, Yu Z, Zongliang F, Lu Y, et al. On the impact of community‐based methadone maintenance treatment among drug addicts. Journal of Preventive Medicine Information 2006;22:251–5. CENTRAL

Duan 2013 {published data only}

Duan S, Han J, Tang RH, Yang YC, Xiang LF, Ye RH, et al. Study on the incidence and risk factors of HCV infection among heroin addicts who were on methadone maintenance treatment in Dehong prefecture,Yunnan province. Zhonghua Liuxingbing Xue Zazhi [Chinese Journal of Epidemiology] 2013;34(6):552‐6. CENTRAL

He 2003 {published data only}

He YX, Ruan YH, Teng T, Hao QN, Qin GM, Wu JL, et al. Community‐based survey of drug use and sexual behavior among female injection drug users. Zhongguo Aizibing Xingbing [Chinese Journal of AIDS & STD] 2003;9:343–6. CENTRAL

He 2004 {published data only}

He YX, Teng T, Ruan YH, Zhou F, Liu SZ, Liu G, et al. A survey of drug abuse and behaviors among injection drug users in Liangshan of Sichuan Province. Zhongguo Yaowu Lanyong Fangzhi Zazhi [Chinese Journal of Drug Abuse Prevention andTreatment] 2004;10:80–3. CENTRAL

Mathei 2016 {published data only}

Mathei C, Bourgeois S, Blach S, Brixko C, Mulkay KP, Razavi H, et al. Mitigating the burden of hepatitis C virus among people who inject drugs in Belgium. Acta Gastro‐Enterologica Belgica 2016;79(2):227‐32. CENTRAL

O'Keefe 2016 {published data only}

O'Keefe D, Scott N, Aitken C, Dietze P. Individual‐level needle and syringe coverage in Melbourne, Australia: a longitudinal, descriptive analysis. BMC Health Service Research 2016;16(1):411. [DOI: 10.1186/s12913‐016‐1668‐z.]CENTRAL

Ray Saraswati 2015 {published data only}

Ray Saraswati L, Saran A, Sebastian MP, Sharma V, Madan I, Thior I, et al. HIV, Hepatitis B and C among people who inject drugs: high prevalence of HIV and Hepatitis C RNA positive infections observed in Delhi, India. BMC Public Health 2015;15:726. [DOI: 10.1186/s12889‐015‐2003‐z]CENTRAL

Siedentopf 2002 {published data only}

Siedentopf J‐P, Nagel M, Buscher U. Possibilities of drug addiction treatment during pregnancy [Moglichkeiten der suchttherapie in der schwangerschaft]. Suchtmedizin in Forschung und Praxis 2002;4:162‐3. CENTRAL

Wada 2004 {published data only}

Wada K. HCV infection among narcotics/methamphetamine abusers. Nippon Rinsho 2004;62(Suppl 7):326‐9. CENTRAL

Amato 2013

Amato L, Davoli M, Minozzi S, Ferroni E, Ali R, Ferri M. Methadone at tapered doses for the management of opioid withdrawal. Cochrane Database of Systematic Reviews 2013, Issue 2. [DOI: 10.1002/14651858.CD003409.pub4]

Aspinall 2014

Aspinall EJ, Nambiar D, Goldberg DJ, Hickman M, Weir A, Van Velzen E, et al. Are needle and syringe programmes associated with a reduction in HIV transmission among people who inject drugs: a systematic review and meta‐analysis. International Journal of Epidemiology 2014;43(1):235‐48.

Bluthenthal 2007

Bluthenthal RN, Anderson R, Flynn NM, Kral AH. Higher syringe coverage is associated with lower odds of HIV risk and does not increase unsafe syringe disposal among syringe exchange program clients. Drug and Alcohol Dependence 2007;89(2‐3):214‐22.

Bourgois 2004

Bourgois P, Prince B, Moss A. The everyday violence of hepatitis C among young women who inject drugs in San Francisco. Human Organization 2004;63(3):253‐64.

Degenhardt 2010

Degenhardt L, Mathers B, Vickerman P, Rhodes T, Latkin C, Hickman M. Prevention of HIV infection for people who inject drugs: why individual, structural, and combination approaches are needed. Lancet 2010;376(9737):285‐301.

Esmaeli 2016

Esmaeili A, Mirzazadeh A, Carter GM, Esmaeili, Hajarizadeh B, Sack HS, et al. Higher incidence of HCV in females compared to males who inject drugs: a systematic review and meta‐analysis. Journal of Viral Hepatitis 2016;24(2):117‐27.

Faggiano 2003

Faggiano F, Vigna‐Taglianti F, Versino E, Lemma P. Methadone maintenance at different dosages for opioid dependence. Cochrane Database of Systematic Reviews 2003, Issue 3. [DOI: 10.1002/14651858.CD002208]

Gibson 1999

Gibson DR, Flynn NM, McCarthy JJ. Effectiveness of methadone treatment in reducing HIV risk behavior and HIV seroconversion among injecting drug users. Aids 1999;13(14):1807‐18.

Gibson 2001

Gibson DR, Flynn NM, Perales D. Effectiveness of syringe exchange programs in reducing HIV risk behavior and HIV seroconversion among injecting drug users. AIDS 2001;15(11):1329‐41.

Gower 2014

Gower E, Estes C, Blach S, Razavi‐Shearer K, Razavi H. Global epidemiology and genotype distribution of the hepatitis C virus infection. Journal of Hepatology 2014;61(1 Suppl):S45‐57.

Gowing 2011

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Guyatt 2008

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Guyatt 2011

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Hagan 2011

Hagan H, Pouget ER, Des Jarlais DC. A systematic review and meta‐analysis of interventions to prevent hepatitis C virus infection in people who inject drugs. Journal of Infectious Diseases 2011;204(1):74‐83.

Higgins 2011

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

Hope 2010

Hope VD, Hickman M, Ngui SL, Jones S, Telfer M, Bizzarri M, et al. Incidence of HCV infection in PWID as measured via repeat testing such as detection of HCV RNA positive among HCV antibody negative results or antibody avidity. Journal of Viral Hepatitis 2010;18:262‐70.

Iversen 2015

Iversen J, Page K, Madden A, Maher L. HIV, HCV and health‐related harms among women who inject drugs: Implications for prevention and treatment. Journal of Acquired Immune Deficiency Syndromes 2015;69(Suppl 2):S176‐S181.

Jones 2008

Jones L, Pickering L, Sumnall H, Mcveigh J, Bellis MA. A review of the effectiveness and cost‐effectiveness of needle and syringe programmes for injecting drug users. Liverpool: Centre for Public Health, Liverpool John Moores University, 2008.

Kaplan 1992

Kaplan EH, Heimer R. A model‐based estimate of HIV infectivity via needle sharing. Journal of Acquired Immune Deficiency Syndromes 1992;5(11):1116‐8.

MacArthur 2012

MacArthur GJ, Minozzi S, Martin N, Vickerman P, Deren S, Bruneau J, et al. Opiate substitution treatment and HIV transmission in people who inject drugs: systematic review and meta‐analysis. BMJ 2012;345:e5945.

Mathers 2008

Mathers BM, Degenhardt L, Phillips B, Wiessing L, Hickman M, Strathdee SA, et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. Lancet 2008;372(9651):1733‐45.

Mathers 2012

Mathers BM, Degenhardt L, Ali H, Wiessing L, Hickman M, Mattick RP, et al. HIV prevention, treatment, and care services for people who inject drugs: a systematic review of global, regional, and national coverage. Lancet 2010;375(9719):1014‐28.

Miller 2004

Miller CL, Wood E, Spittal PM, Li K, Frankish JC, Braitstein P, et al. The future face of coinfection: prevalence and incidence of HIV and hepatitis C virus coinfection among young injection drug users. Journal of Acquired Immune Deficiency Syndromes 2004;36(2):743‐9.

Mohd Hanafiah 2013

Mohd Hanafiah K, Groeger J, Flaxman AD, Wiersma ST. Global epidemiology of hepatitis C virus infection: new estimates of age‐specific antibody to HCV seroprevalence. Hepatology 2013;57(4):1333‐42.

Palmateer 2010

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Perz 2006

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Platt 2016

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Platt 2016a

Platt L, Reed J, Minozzi S, Vickerman P, Hagan H, French C, Jordan A, Degenhardt L, Hope V, Hutchinson S, Maher L, Palmateer N, Taylor A, Hickman M. Effectiveness of needle/syringe programmes and opiate substitution therapy in preventing HCV transmission among people who inject drugs. Cochrane Database of Systematic Reviews 12 Januray 2016;1.

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References to other published versions of this review

Platt 2016b

Platt L, Reed J, Minozzi S, Vickerman P, Hagan H, French C, et al. Effectiveness of needle/syringe programmes and opiate substitution therapy in preventing HCV transmission among people who inject drugs. Cochrane Database of Systematic Reviews 12 January, Issue 1. [DOI: 10.1002/14651858; CD012021.]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Aitken 2015 [pers comm]

Methods

Prospective cohort study; recruitment was done via RDS, street outreach and snowball sampling

Participants

Country: Australia

449 PWID, defined as 'regularly' injecting illicit drugs in the last 6 months. Median age was 29.4 years, and 50% of participants reported injecting daily, but there was no information on the main drug being injected.

Interventions

The intervention in this study was use of opioid substitution therapy (OST); OST was defined as use of OST in the previous month. The comparison group was no current OST use.

Follow‐up: 196 person years

Study duration: 5 years

Outcomes

HCV seroconversion as measured by HCV antibody in serum

Notes

Funding source is the Australian National Health and Medical Research Council

Bruneau 2015 [pers comm]

Methods

Prospective cohort study; recruitment was done via street outreach, and snowball sampling

Participants

Country: Canada

285 PWID

Interventions

The interventions included in this study were needle syringe exchange programme (NSP) use in the previous 3 or 6 months, use of methadone maintenance in the previous 6 months. Further detail on the intensity of engagement with the intervention was gathered; researchers examined NSP use where 100% of needles/syringes used were obtained by NSP and a methadone dose of 0‐60 mg or 60+ mg, respectively. Comparisons were no NSP use in the previous 3 or 6 months or low NSP coverage (< 100%), no OST use in the previous 6 months, or < 59 mg of methadone

Follow‐up: 589.3 person years

Study duration: 7 years

Outcomes

HCV seroconversion

Notes

The funding source was the Canadian Institutes of Health Research, US National Institute on Drug Abuse and the Réseau SIDA et Maladies Infectieuses du Fonds de la Recherche en Sante du Quebec

Craine 2009

Methods

Prospective cohort study

Participants

Country: Wales, UK

700 PWID, defined as injecting drugs in the previous 4 weeks. 29% were female and the mean age was 27.2 years. The main drug injected was not reported, but 42% had injected stimulants.

Interventions

The intervention was either in opioid substitution treatment or not

Follow‐up: 287.3 person years

Study duration: 2 years

Outcomes

HCV seroconversion

Notes

Funded by the Welsh Assembly Government

Crofts 1997

Methods

Retrospective cohort study

Participants

Country: Australia

1741 PWID; the mean age was 29.2 years and 42% were female; main drug was not reported

Interventions

The intervention was defined as either continuous or interrupted methadone maintenance treatment; the comparison was no methadone maintenance

Follow‐up: 85.4 person years

Study duration: 4 years

Outcomes

HCV seroconversion

Notes

Individual funding was received from Research Fund of the Macfarlane Burnet Centre, Victorian Department of Health and Community Services Public Health Training Programme, the Commonwealth Department of Health and Family Service.

Hagan 1995

Methods

Case‐control study

Participants

Country: USA

46 PWID, where PWID status was defined as having injected drugs in the previous 6 months (cases). 24% of the sample were < 25 years, 45% were female; the main drug injected was not reported

Interventions

The intervention under study was ever having used a needle syringe exchange programme and comparison was never having used a NSP

Follow‐up: n/a

Study duration: 2 years

Outcomes

HCV seroconversion defined by presence of HCV antibodies

Notes

Funded by the American Foundation for AIDS Research

Hagan 1999

Methods

Prospective cohort study

Participants

Country: USA

2462 PWID, defined as having injected drugs in the previous 12 months. 19% were < 25 years, 38% were female, 54% injected heroin and 59% injected daily

Interventions

The intervention under study was either current sporadic or current regular needle syringe exchange programme use; the comparison was no use of the NSP.

Follow‐up: 209 person years

Study duration: 2 years

Outcomes

HCV seroconversion defined by presence of HCV antibodies (the timeframe for seroconversion was within the previous 12 months)

Notes

Funded by the National Institute on Drug Abuse and Centre for Disease Control

Holtzman 2009

Methods

Prospective cohort study; recruitment was done via RDS and street outreach

Participants

Country: USA

4663 PWID, defined as injecting drugs in the previous 6 or 12 months. 28% were less than 21 years old, 38% were female; main drug injected was not reported, but 49% injected daily

Interventions

The intervention was participation (yes/no) in a needle syringe exchange programme (NSP) in either the previous 3 months or 6 months

Follow‐up: n/a

Study duration: 10 years

Outcomes

HCV seroconversion measured by the presence of HCV antibodies

Notes

Funding source not specified

Hope 2011

Methods

Cross‐sectional study. Recruitment of study participants was done via RDS

Participants

Country: England, UK

299 PWID, defined as having injected drugs in the previous 4 weeks. 17% were < 25 years old, 23% were female, 94% injected opiates, 40% injected daily

Interventions

The interventions were as follows:

  1. Low NSP coverage and not on OST

  2. Low NSP coverage and OST

  3. High NSP coverage and no OST

  4. High NSP coverage and OST

Comparisons were no current use of OST, no or low NSP coverage

Follow‐up: n/a

Study duration: 6 months

Outcomes

HCV seroconversion defined as HCV RNA positive and HCV antibody negative (dried blood spot testing); the window period for the outcome was 51–75 days (range)

Notes

Funded by the National Treatment Agency for Substance Use and Health Protection Agency

Hope 2015 [pers comm]

Methods

Cross‐sectional study; recruitment of study participants was done via RDS

Participants

Country: England, UK

948PWID, defined as having injected drugs in the previous 4 weeks. Median age was 33 years, 48% injected heroin as their main drug, but 64% had injected crack/cocaine in the previous month, 19% were female and 53% injected daily

Interventions

The interventions were as follows:

  1. Low NSP coverage and not on opioid substitution treatment OST

  2. Low NSP coverage and OST

  3. High NSP coverage and no OST

  4. High NSP coverage and OST

Comparisons were no current use of OST, no or low NSP coverage

Follow‐up: 6 months

Outcomes

HCV seroconversion defined as HCV RNA positive and HCV antibody negative (dried blood spot testing); the window period for the outcome was 51–75 days (range)

Follow‐up: n/a

Study duration: 6 months

Notes

Funded by National Treatment Agency for Substance Use and the Health Protection Agency

Judd 2015 [pers comm]

Methods

Prospective cohort study; recruitment was conducted via privileged access interviews and snowball sampling

Participants

Country: England, UK

272 PWID, defined as having injected drugs in the previous 4 weeks. Median age was 27.6 years, 29% were female, 35% mainly injecting heroin, 84% injected daily

Interventions

The intervention of interest was use of methadone maintenance treatment in the previous 6 months or longer, compared to no methadone in the same time period

Follow‐up:116.7 person years

Study duration: 2 years

Outcomes

HCV seroconversion

Notes

Funded by the UK Department of Health

Lucidarme 2004

Methods

Prospective cohort study; recuitment was conducted at drug treatment centres

Participants

Country: France

321 PWID, defined as ever having injected drugs. Median age was 26.9 years, 17.6% were female, 28% injected opiates, 84% injected daily

Interventions

The intervention under study was having received OST in the 3 months prior to study enrollment; the comparison was no OST in the 3 months prior to study enrollment

Follow‐up: 178.4 person years

Study duration: 1 year

Outcomes

Seroconversion measured as the presence of HCV antibodies in oral fluid and serum on positive tests; the window period for the outcome was the midpoint between previous negative oral fluid test and first positive serum test

Notes

Funded by the Agence Nationale de Recherche su le SIDA, Institute de Veille Sanitaire, Programme Hospitalier de Recherce Clinique, Direction Departementale de l'Action Sanitaire et Sociale du Nord, Academie Nationale de Medecine

Maher 2015

Methods

Prospective cohort study; recruitment was conducted in community settings and in low‐threshold drug treatment settings

Participants

Country: Australia

294 PWID, defined as injection in the previous 6 months. Median age was 24 years, 32% were female, 69% injected heroin

Interventions

The intervention under study was having received OST in the previous 6 months; the comparison was no OST in the previous 6 months

Follow‐up: 212.86 person years

Study duration: 3 years

Outcomes

Seroconversion as measured by anti‐HCV serology at baseline using 1‐2 third‐generation enzyme‐linked immunosorbent assays. PCR testing to detect HCV RNA on all final HCV antibody negative specimens

Notes

Funded by the Australian National Health and Medical Research Council

Mehta 2015 [pers comm]

Methods

Prospective cohort study; recruitment was conducted through community‐based outreach

Participants

Country: USA

471 PWID, defined as having injected within the preceding 11 years. Median age was 34 years, 18.3% were female, 65% injected heroin and cocaine, 92% had injected in the previous year at baseline

Interventions

The intervention under study was being in methadone treatment in the previous 6 months; the comparison was no methadone treatment in the previous 6 months

Follow‐up: 166.5 person years

Study duration: 20 years

Outcomes

HCV seroconversion, measured through serum samples

Notes

Funded by the National Institute on Drug Abuse

Nolan 2014

Methods

Prospective cohort study; recruitment included snowball sampling

Participants

Country: Canada

3741 PWID, defined as having injected drugs in the previous 4 weeks. 30% were female, 34% injected opiates and the mean age was 34 years among methadone users and 23 years among non‐methadone users

Interventions

The interventions under study were:

  1. Active participation in methadone maintenance treatment (MMT) in last 6 months

  2. MMT once during follow‐up,

  3. MMT > 2 times during follow‐up

Comparison was no use of MMT within the same time periods

Follow‐up: 2108.4 person years

Study duration: 16 years

Outcomes

HCV seroconversion defined by presence of HCV antibodies

Notes

Funded by the US National Institutes on Drug Abuse

Page 2015 [pers comm]

Methods

Prospective cohort study; recruitment occurred through street outreach

Participants

Country: USA

552 PWID, defined as people who have injected drugs in the previous month and less than 30 years old. 42.5% were < 22 years, 22% were female and 61% injected heroin/heroin mixed in the previous month

Interventions

The intervention under study was use of a NSP in the previous 3 months and the comparison was no use of NSP

Follow‐up: 681.3 person years

Study duration: 15 years

Outcomes

HCV seroconversion defined by presence of HCV antibodies or HCV RNA

Notes

Funded by the National Institute on Drug Abuse

Palmateer 2014a

Methods

Cross‐sectional study; participants were recruited at NSPs

Participants

Country: Scotland, UK

7954 PWID, defined as ever having injected drugs (but 80% had injected in previous 6 months). Mean age is 34 years, 27.5% are female, 55.3% inject daily and 17% injected stimulants

Interventions

The interventions were defined as:

  1. Needle syringe exchange (NSP) coverage: low vs high

  2. Paraphernalia coverage: low vs high

  3. Opioid substitution treatment (OST): current vs not current

  4. NSP and OST combined: low NSP, no OST vs low NSP with OST, high NSP no OST, high NSP OST, did not inject OST

  5. NSP, paraphernalia, and OST combined: low NSP, low para, no OST vs low NSP, low para with OST, high NSP, low para, no OST, high NSP, low para, OST, high NSP, high para, no OST, high NSP, high para, OST, did not inject OST

The comparisons were no OST or no/low NSP use

Follow‐up: 602.7 person years

Study duration: 4 years

Outcomes

The outcome was HCV seroconversion defined as being HCV antibody negative and HCV RNA positive

Notes

Funded by the Scottish Government

Patrick 2001

Methods

Prospective cohort study; recruitment included snowball sampling

Participants

Country: Canada

1345 PWID, defined as having injected drugs in the previous 4 weeks. 30% were female, the median age was 34 years, 63% injected opiates and 54% injected stimulants, 54% injected daily

Interventions

The intervention under study was

  1. Attendance at least once per week at NSP in previous 6 months (yes or no)

  2. Methadone maintenance treatment in previous 6 months (yes or no)

The comparison was NSP attendance or no methadone in the previous 6 months

Follow‐up: 207.9 person years

Study duration: 3 years

Outcomes

HCV seroconversion measured by HCV antibody positivity

Notes

Funding source was not specified

Rezza 1996

Methods

Case‐control study; recruitment methods employed a convenience sample of service attenders

Participants

Country: Italy

746 PWID, defined as being a heroin user. 21% were < 28 years, 3% were female, 100% injected opiates and 32% also injected stimulants, 69% injected daily

Interventions

The intervention under study was being in methadone maintenance treatment in the previous 6 months, the comparison was no methadone maintenance in the same time period

Follow‐up: 73.4 person years

Study duration: 2 years

Outcomes

HCV seroconversion, measured by HCV antibody positivity in serum samples

Notes

Funded by the Progretto AIDS, Ministero della Sanita‐Instituto Superiore di Sanita

Roy 2007

Methods

Serial cross‐sectional survey; recruitment methods employed service attenders at drug treatment programmes

Participants

Country: Canada

1380 PWID, defined as having injected in the previous 6 months. Mean age was 31.8 years, 27% were female, 19% injected opiates and 75% injected stimulants

Interventions

The intervention under study was using an NSP in the previous 6 months, and the comparison was no use of the NSP

Follow‐up: 267 person years

Study duration: 6 years

Outcomes

HCV RNA positive on anti‐HCV negative (oral fluid). HCV seroconversions were attributed to the midpoint between the previous negative and first positive test results

Notes

Funded by the Health Canada, Ministere de la Sante et des Services Sociaux du Quebec

Ruan 2007

Methods

Prospective cohort study; recruitment occurred via community outreach and snowball sampling

Participants

Country: China

379 PWID, defined as having injected drugs in the previous 3 months. 44% were < 28 years and 100% injected opiates. There was no information on sex or frequency of injecting.

Interventions

The intervention of interest was lifetime experience of methadone maintenance treatment (yes or no).

Follow‐up: 258 person years

Study duration: 3 years

Outcomes

HCV antibody positivity in serum samples (incidence density); the time of seroconversion was the midpoint between the previous negative and first positive HCV antibody test result

Notes

Funded by the Ministry of Science and Technology of China, the National Natural Science Foundation of China, China Comprehensive Integrated Programmes for Research on AIDS, the National Institute of Allergy and Infectious Diseases and the National Institutes of Health

Spittal 2012

Methods

Prospective cohort study; recruitment via community outreach and snowball sampling

Participants

Country: Canada

377 PWID, defined as having injected in the previous 4 weeks. Median age was 23 years, 53% were female, 18% injected opiates, 10% injected stimulants, 18% injected daily

Interventions

The intervention of interest was being in methadone maintenance treatment (yes or no) at the time of survey; comparison was no current use of methadone maintenance

Follow‐up:338.6 person years

Study duration: 6 years

Outcomes

HCV antibody positivity in serum samples (incidence density); the time of seroconversion was the midpoint between the previous negative and first positive HCV antibody test result

Notes

Funded by the Institute for Aboriginal Peoples Health and the Canadian Institutes for Health Research

Thiede 2000

Methods

Prospective cohort study; recruitment from a drug treatment setting

Participants

Country: USA

716 PWID, defined as having injected drugs in the previous 4 weeks. 5.4% were < 25 years, 49% were female, 23% injected stimulants and 25% injected daily

Interventions

The interventions under study were:

  1. Left methadone maintenance treatment (MMT) at least once during follow‐up but were re‐enrolled at their follow‐up visit

  2. Remained in MMT throughout the follow‐up period

The comparison was no MMT.

Follow‐up: 80 person years

Study duration: 4 years

Outcomes

HCV seroconversion, as demonstrated by the presence of HCV antibodies in serum

Notes

Funded by the Centers for Disease Control and Prevention

Thorpe 2002

Methods

Prospective cohort study; recruitment via street outreach, targeted advertising, and peer referrals

Participants

Country: USA

702 PWID, defined as having injected in the previous 6 months. 53% were aged 18‐22 years, 49% were female, 23% injected stimulants and 39% injected daily

Interventions

The intervention of interest was use of an NSP in the previous 6 months and the comparison was no use of the NSP

Follow‐up: 327.2 person years

Study duration: 2 years

Outcomes

HCV seroconversion as demonstrated by the presence of HCV antibodies in serum; time of seroconversion was taken to be the midpoint between the previous negative and first positive HCV antibody test result

Notes

Funding source was not specified

Tsui 2014

Methods

Prospective cohort study; recruitment via street outreach

Participants

Country: USA

992 PWID, defined as having injected in the previous 4 weeks and aged < 30 years. 16% were aged 15‐18 years, 32% were female, 60% injected opiates and 33.2% injected stimulants

Interventions

The interventions of interest included:

  1. Opiate agonist detoxification in previous 3 months

  2. Opiate agonist therapy maintenance treatment in previous 3 months. Recent opioid agonist therapy included treatment with buprenorphine or methadone anytime within the past year at the baseline screening interview, within the past 3 months at quarterly interviews for participants in waves 1 and 3, and within the past week for participants in wave 2

The comparison was no opiate agonist therapy in the same time frame

Follow‐up: 680 person years

Study duration: 13 years

Outcomes

HCV seroconversion. Incidence was calculated using behavior or characteristic at the previous period that participant was seronegative for HCV (uninfected during follow‐up) or the first HCV‐seropositive risk period (incident infections). Incident acute HCV infections were: a new test result positive for HCV RNA and/or anti‐HCV after a previously documented test result negative for anti‐HCV; or a positive HCV RNA test result concomitant with a negative anti‐HCV test result.

Notes

Funded by the National Institute on Drug Abuse, National Institute of Health, National Institute on Alcohol and Alcoholism

Vallejo 2015

Methods

Prospective cohort study; recruitment was street‐based and employed targeted sampling and chain‐referral methods

Participants

Country: Spain

513 PWID; PWID were required to have used heroin at least 12 days and at least 1 day in the past 3 months. 40% were < 25 years, 27% were female, 31% injected stimulants. There was no information on daily injecting.

Interventions

The intervention of interest was methadone maintenance; further details of the intervention (e.g. intensity or duration of engagement in the intervention) was not specified, the comparison was no use of methadone maintenance.

Follow‐up: 105.4 peron years

Study duration: 3 years

Outcomes

HCV seroconversion, defined by HCV antibody positivity by dried blood spot testing

Notes

Funded by the Foundation for AIDS Prevention and Research

Van Beek 1998

Methods

Retrospective cohort study; recruitment at drug treatment services

Participants

Country: Australia

1078 PWID, 61.5% were < 20 years, 55.9% were female, 19% injected opiates, 27.9% injected stimulants

Interventions

The intervention under study was ever having received methadone; the comparison was no methadone

Follow‐up:148.2 person years

Study duration: 2 years

Outcomes

HCV seroconversion

Notes

Funded by the Australian National Council on AIDS and Related Diseases

Van Den Berg 2007

Methods

Prospective cohort study; enrollment occurred through 'open' recruitment

Participants

Country: Netherlands

168 PWID, defined as those who had ever injected drugs. Median age was 31.4 years, 33% were female, 33% injected opiates and 51% injected stimulants, 51.7% injected daily

Interventions

The interventions of interest were measured as follows:

  1. Incomplete harm reduction: any dose of methadone daily, injection in previous 6 months, irregular or no use of NSP; OR 0‐59 mg of methadone daily in past 6 months, always use NSP

  2. Full harm reduction: ≥ 60 mg of methadone daily in past 6 months; no injecting drug use; ≥ 60 mg methadone daily, injecting drug use in past 6 months, always use NSP

  3. Limited dependence on harm reduction: 1‐59 mg of methadone in past 6 months, no injecting drug use

  4. No dependence on harm reduction: no methadone in in past 6 months, no injection in past 6 months.

The comparsion was no methadone in the past 6 months, and/or no use of NSP or no injection

Follow‐up: 598.56 person years

Study duration: 22 years

Outcomes

HCV seroconversion

Notes

Funded by the Netherlands National Institute for Public Health and the Environment

White 2014

Methods

Prospective cohort study; recruitment via snowball sampling, social networks, RDS, and targeted outreach sampling

Participants

Country: Australia

166 PWID, defined as those who had injected drugs in the previous 12 months. Median age was 27 years, 25% were female. Participants mainly injecting opioids, but frequency of injecting was not reported

Interventions

The intervention assessed was having accessed a needle syringe exchange programme or opioid substitution treatment in the previous 6 months, the comparison was no use of the NSP or OST in the same time frame.

Follow‐up: 215.2 person years.

Study duration: 3 years

Outcomes

HCV seroconversion defined as being negative for HCV antibodies and positive for HCV RNA

Notes

Funded by the National Health and Medical Research Council

HCV: hepatitis C virus; NSP: needle syringe programme; OST: opioid substitution therapy; PCR: polymerase chain reaction; PWID: people who inject drugs; RDS: respondent‐driven sampling.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Aubisson 2006

No outcome of interest

Azim 2005

No outcome of interest

Bayoumi 2008

No intervention of interest: no OST or NSP

Burt 2007

No outcome of interest

Buxton 2010

No outcome of interest; no comparison of interest: all participants on OST

Collins 2009

No outcome of interest

Cox 2000

No outcome of interest

Crofts 1993

No intervention of interest: no OST or NSP

De Vos 2012

No outcome of interest; simulation study

Des Jarlais 2005

No outcome of interest

Des Jarlais 2007

No outcome of interest

Dubois‐Arber 2008

No outcome of interest

Emmanuelli 2005

No outcome of interest

Esteban 2003

No outcome of interest. No comparison of interest: all participants on OST

Falster 2009

No outcome of interest

Fatseas 2012

No outcome of interest

Fhima 2001

No comparison of interest: all participants on OST

Fudala 2003

No outcome of interest

Fuller 2004

No intervention of interest: no OST or NSP

Galeazzl 1995

No outcome of interest; no intervention of interest: no OST or NSP

Gambashidze 2008

No outcome of interest

Garfein 1998

No outcome of interest; no intervention of interest: no OST or NSP

Garfein 2007

No outcome of interest; no intervention of interest: no OST or NSP

Garten 2004

No intervention of interest: no OST or NSP

Gervasoni 2012

No outcome of interest

Goldberg 1998

No outcome of interest

Goldberg 2001

No outcome of interest

Goswami 2014

No outcome of interest

Grebely 2013

Editorial

Grebely 2014

No intervention of interest: no OST or NSP

Guadagnino 1995

No outcome of interest; No intervention of interest: no OST or NSP

Hagan 2000

No outcome of interest; no intervention of interest: no OST or NSP

Heimer 1999

No outcome of interest

Higgs 2012

No outcome of interest

Jackson 2014

No comparison of interest: all participants on OST

Javanbakht 2014

No outcome of interest; simulation study

Judd 2005

No intervention of interest: no OST or NSP

Kwon 2009

No outcome of interest; simulation study

Lai 2001

No intervention of interest: no OST or NSP

Larney 2015

No comparison of interest

Mansson 2000

No outcome of interest

Mikolajczyk 2013

No intervention of interest: no OST or NSP

Moshkovich 2000

No outcome of interest

Muga 2006

No outcome of interest

Nasir 2011

No outcome of interest

Page 2009

No intervention of interest: no OST or NSP

Page 2013

No intervention of interest: no OST or NSP

Palmateer 2014b

No intervention of interest: no OST or NSP

Paquette 2010

No intervention of interest: no OST or NSP

Parrino 2003

Overview

Pedrana 2009

No intervention of interest: no OST or NSP

Peles 2011

No comparison of interest: all on OST

Pollack 2001

No outcome of interest; simulation model

Pratt 2002

No outcome of interest

Robotin 2004

No intervention of interest: no OST or NSP

Rohrig 1990

No outcome of interest

Roux 2012

No outcome of interest. No comparison of interest: all participants on OST

Roux 2014

No outcome of interest

Roy 2009

No intervention of interest: no OST or NSP

Roy 2012

No intervention of interest: no OST or NSP

Ruan 2013

No intervention of interest: no OST or NSP

Samo 2013

No outcome of interest

Sanders‐Buell 2013

No outcome of interest

Seal 2004

No outcome of interest

Selvey 1997

No comparison of interest: all participants on OST

Sendi 2003

No intervention of interest: no OST or NSP

Shannon 2010

No intervention of interest: no OST or NSP

Shi 2007

No comparison of interest: all participants on OST

Solomon 2010

No intervention of interest: no OST or NSP

Spencer 1997

No intervention of interest: no OST or NSP

Steffen 2001

No intervention of interest: no OST or NSP

Stein 2009

No intervention of interest: no OST or NSP

Stephens 2011

No outcome of interest. No intervention of interest: no OST or NSP

Stephens 2013

No intervention of interest: no OST or NSP

Strathdee 1997

No outcome of interest

Sullivan 2005

No outcome of interest. No comparison of interest: all participants on OST

Sylvestre 2006

No outcome of interest

Tait 2013a

No outcome of interest. No intervention of interest: no OST or NSP

Tait 2013b

No outcome of interest. No intervention of interest: no OST or NSP

Todd 2015

No intervention of interest (NSP shuts down for some of the follow‐up)

Tracy 2014

No intervention of interest: no OST or NSP

Tsirogianni 2013

No intervention of interest: no OST or NSP

Tsui 2009

No intervention of interest: no OST or NSP

Valdez 2011

No outcome of interest. No intervention of interest: no OST or NSP

Van Ameijden 1993

No intervention of interest: no OST or NSP

Van den Hoek 1990

No outcome of interest

Van den Laar 2009

No outcome of interest. No intervention of interest: no OST or NSP

Van den Laar 2010

No outcome of interest. No intervention of interest: no OST or NSP

Van Santen 2013

No outcome of interest

Villano 1997

No intervention of interest: no OST or NSP

Wand 2009

No intervention of interest: doesn't specify OST, only that it is drug treatment

Wang 2014

No comparison of interest: all participants on OST

Widell 2009

No intervention of interest: no OST or NSP

Winkelstein 2013

No outcome of interest

Woody 2008

No outcome of interest

Yang 2011

No outcome of interest

Yen 2012

No outcome of interest

Zhao 2005

No outcome of interest

Zhou 2015

No comparison of interest: all participants on OST

Zou 2015

No comparison of interest: all participants on OST

Zunt 2006

No outcome of interest

NSP: needle syringe programme; OST: opioid substitution therapy.

Characteristics of studies awaiting assessment [ordered by study ID]

Bruneau 2016

Methods

Prospective cohort

Participants

313 HCV‐seronegative PWID (injection in the previous month) were enrolled with at least one follow‐up visit. 22% were female, 43% were under 30 years old and 58% injected cocaine

Interventions

Opioid agonist therapy (1‐59 mg, methadone or suboxone, ≥ 60 mg methadone) and injection material coverage (100% safe sources vs no)

Outcomes

Seroconversion to HCV antibody positive

Notes

The study was conducted in Montreal, Canada. No funding source is specified.

Chun 2006

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in Chinese.

Duan 2013

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in Chinese.

He 2003

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in Chinese.

He 2004

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in Chinese.

Mathei 2016

Methods

Participants

Interventions

Outcomes

Notes

The text is in French, and there is little information in the abstract.

O'Keefe 2016

Methods

Prospective cohort recruited between 2011 and 2015

Participants

People who inject drugs, defined as regular injectors (at least one a month in the 6 months prior to recruitment), a total of 502 participants, approximately 36% were female and mean age 30 was years

Interventions

Current opoid substitution therapy prescription; NSP as usual source of syringe acquisition in the past month, measure of injections covered by sterile syringe (syringes acquired divided by syringes distributed divided by past week injecting frequency)

Outcomes

HCV RNA positive among negative samples

Notes

Data drawn from the Melbourne injecting drug use cohort study (MIX). Funding provided by the Colonial Foundation Trust and the National Reserch Council

Ray Saraswati 2015

Methods

Longitudinal incidence study, participants recruited in community settings through peer referrals in places where drugs are used

Participants

People who inject drugs defined as injection at least once in the previous 3 months and residing in Delhi. A total of 2292 PWID recruited of whom all were male; median age was 29 years

Interventions

Accessed NSP in the previous 3 months

Outcomes

anti HCV negative and HCV RNA positive

Notes

Funding received from the Canadian Government (Department of Foreign Affairs, Trade and Development Canada). No incidence data reported, but need to contact authors for measures

Siedentopf 2002

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in German.

Wada 2004

Methods

Participants

Interventions

Outcomes

Notes

There is no abstract, and the text is in Japanese.

HCV: hepatitis C virus; NSP: needle syringe programme; PWID: people who inject drugs.

Data and analyses

Open in table viewer
Comparison 1. Current OST versus no OST

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses by region Show forest plot

12

6361

Risk Ratio (Random, 95% CI)

0.50 [0.40, 0.63]

Analysis 1.1

Comparison 1 Current OST versus no OST, Outcome 1 HCV incidence adjusted analyses by region.

Comparison 1 Current OST versus no OST, Outcome 1 HCV incidence adjusted analyses by region.

1.1 North America

5

2245

Risk Ratio (Random, 95% CI)

0.57 [0.42, 0.76]

1.2 Europe

5

3494

Risk Ratio (Random, 95% CI)

0.43 [0.27, 0.68]

1.3 Australia

2

622

Risk Ratio (Random, 95% CI)

0.42 [0.25, 0.72]

2 HCV incidence adjusted analysis by study design Show forest plot

12

6361

Risk Ratio (Random, 95% CI)

0.50 [0.40, 0.63]

Analysis 1.2

Comparison 1 Current OST versus no OST, Outcome 2 HCV incidence adjusted analysis by study design.

Comparison 1 Current OST versus no OST, Outcome 2 HCV incidence adjusted analysis by study design.

2.1 Prospective cohort

10

3467

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.65]

2.2 Cross‐sectional surveys

2

2894

Risk Ratio (Random, 95% CI)

0.46 [0.23, 0.89]

3 HCV incidence unadjusted analyses by different modes of OST provision Show forest plot

9

Risk Ratio (Random, 95% CI)

Subtotals only

Analysis 1.3

Comparison 1 Current OST versus no OST, Outcome 3 HCV incidence unadjusted analyses by different modes of OST provision.

Comparison 1 Current OST versus no OST, Outcome 3 HCV incidence unadjusted analyses by different modes of OST provision.

3.1 Ever used OST

3

375

Risk Ratio (Random, 95% CI)

0.81 [0.52, 1.27]

3.2 Interrupted OST use

3

1157

Risk Ratio (Random, 95% CI)

0.80 [0.57, 1.10]

3.3 Detoxification

1

552

Risk Ratio (Random, 95% CI)

1.45 [0.79, 2.66]

3.4 High dose

2

453

Risk Ratio (Random, 95% CI)

0.52 [0.29, 0.94]

3.5 Low dose

2

453

Risk Ratio (Random, 95% CI)

0.85 [0.44, 1.65]

Open in table viewer
Comparison 2. Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

8

5235

Risk Ratio (Random, 95% CI)

0.42 [0.31, 0.58]

Analysis 2.1

Comparison 2 Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets, Outcome 1 HCV incidence.

Comparison 2 Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets, Outcome 1 HCV incidence.

Open in table viewer
Comparison 3. Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

9

5782

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.64]

Analysis 3.1

Comparison 3 Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias, Outcome 1 HCV incidence.

Comparison 3 Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias, Outcome 1 HCV incidence.

Open in table viewer
Comparison 4. Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

10

3467

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.65]

Analysis 4.1

Comparison 4 Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies, Outcome 1 HCV incidence.

Comparison 4 Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies, Outcome 1 HCV incidence.

Open in table viewer
Comparison 5. OST versus no OST, unadjusted analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

16

9499

Risk Ratio (Random, 95% CI)

0.57 [0.45, 0.73]

Analysis 5.1

Comparison 5 OST versus no OST, unadjusted analysis, Outcome 1 HCV incidence.

Comparison 5 OST versus no OST, unadjusted analysis, Outcome 1 HCV incidence.

Open in table viewer
Comparison 6. High NSP coverage versus no/low NSP coverage

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses by region Show forest plot

5

3530

Risk Ratio (Random, 95% CI)

0.79 [0.39, 1.61]

Analysis 6.1

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 1 HCV incidence adjusted analyses by region.

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 1 HCV incidence adjusted analyses by region.

1.1 North America

3

627

Risk Ratio (Random, 95% CI)

1.25 [0.63, 2.46]

1.2 Europe

2

2903

Risk Ratio (Random, 95% CI)

0.24 [0.09, 0.62]

2 HCV incidence adjusted analyses by study design Show forest plot

5

3530

Risk Ratio (Random, 95% CI)

0.95 [0.50, 1.82]

Analysis 6.2

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 2 HCV incidence adjusted analyses by study design.

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 2 HCV incidence adjusted analyses by study design.

2.1 Prospective cohorts

3

627

Risk Ratio (Random, 95% CI)

1.44 [1.01, 2.05]

2.2 Cross‐sectional surveys

2

2903

Risk Ratio (Random, 95% CI)

0.24 [0.09, 0.62]

Open in table viewer
Comparison 7. Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

4

3245

Risk Ratio (Random, 95% CI)

0.77 [0.28, 2.13]

Analysis 7.1

Comparison 7 Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data, Outcome 1 HCV incidence.

Comparison 7 Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data, Outcome 1 HCV incidence.

Open in table viewer
Comparison 8. Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

3

627

Risk Ratio (Random, 95% CI)

1.25 [0.63, 2.46]

Analysis 8.1

Comparison 8 Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys, Outcome 1 HCV incidence.

Comparison 8 Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys, Outcome 1 HCV incidence.

Open in table viewer
Comparison 9. High NSP coverage versus low/no coverage, unadjusted estimates

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

7

6455

Risk Ratio (Random, 95% CI)

0.78 [0.39, 1.55]

Analysis 9.1

Comparison 9 High NSP coverage versus low/no coverage, unadjusted estimates, Outcome 1 HCV incidence.

Comparison 9 High NSP coverage versus low/no coverage, unadjusted estimates, Outcome 1 HCV incidence.

Open in table viewer
Comparison 10. Low NSP coverage versus no coverage

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence, adjusted analyses Show forest plot

6

2765

Risk Ratio (Random, 95% CI)

1.43 [0.82, 2.49]

Analysis 10.1

Comparison 10 Low NSP coverage versus no coverage, Outcome 1 HCV incidence, adjusted analyses.

Comparison 10 Low NSP coverage versus no coverage, Outcome 1 HCV incidence, adjusted analyses.

Open in table viewer
Comparison 11. Low NSP coverage versus no NSP, unadjusted analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

9

3242

Risk Ratio (Random, 95% CI)

1.41 [0.95, 2.09]

Analysis 11.1

Comparison 11 Low NSP coverage versus no NSP, unadjusted analysis, Outcome 1 HCV incidence.

Comparison 11 Low NSP coverage versus no NSP, unadjusted analysis, Outcome 1 HCV incidence.

Open in table viewer
Comparison 12. Combined OST and high/low NSP versus no OST and low/no NSP

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses Show forest plot

3

6197

Risk Ratio (Random, 95% CI)

0.45 [0.22, 0.94]

Analysis 12.1

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 1 HCV incidence adjusted analyses.

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 1 HCV incidence adjusted analyses.

1.1 High NSP coverage

3

3241

Risk Ratio (Random, 95% CI)

0.26 [0.07, 0.89]

1.2 Low NSP coverage

2

2956

Risk Ratio (Random, 95% CI)

0.87 [0.44, 1.68]

2 HCV incidence unadjusted analyses Show forest plot

4

6427

Risk Ratio (Random, 95% CI)

0.47 [0.27, 0.80]

Analysis 12.2

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 2 HCV incidence unadjusted analyses.

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 2 HCV incidence unadjusted analyses.

2.1 Combined OST and high NSP versus no OST and low/no NSP

4

3356

Risk Ratio (Random, 95% CI)

0.29 [0.13, 0.65]

2.2 Combined OST and low NSP versus no OST and low/no NSP

3

3071

Risk Ratio (Random, 95% CI)

0.76 [0.44, 1.33]

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Forest plot of comparison: 1 Current OST versus no OST, outcome: 1.1 HCV incidence adjusted analyses by region.
Figuras y tablas -
Figure 2

Forest plot of comparison: 1 Current OST versus no OST, outcome: 1.1 HCV incidence adjusted analyses by region.

Funnel plot of comparison: 1 Current OST versus no OST, outcome: 1.1 HCV incidence adjusted analyses by region.
Figuras y tablas -
Figure 3

Funnel plot of comparison: 1 Current OST versus no OST, outcome: 1.1 HCV incidence adjusted analyses by region.

Forest plot of comparison: 2 High NSP coverage versus no/low NSP coverage, outcome: 2.1 HCV incidence adjusted analyses by region.
Figuras y tablas -
Figure 4

Forest plot of comparison: 2 High NSP coverage versus no/low NSP coverage, outcome: 2.1 HCV incidence adjusted analyses by region.

Forest plot of comparison: 4 Combined OST and high/low NSP versus no OST and low/no NSP, outcome: 4.1 HCV incidence adjusted analyses.
Figuras y tablas -
Figure 5

Forest plot of comparison: 4 Combined OST and high/low NSP versus no OST and low/no NSP, outcome: 4.1 HCV incidence adjusted analyses.

Comparison 1 Current OST versus no OST, Outcome 1 HCV incidence adjusted analyses by region.
Figuras y tablas -
Analysis 1.1

Comparison 1 Current OST versus no OST, Outcome 1 HCV incidence adjusted analyses by region.

Comparison 1 Current OST versus no OST, Outcome 2 HCV incidence adjusted analysis by study design.
Figuras y tablas -
Analysis 1.2

Comparison 1 Current OST versus no OST, Outcome 2 HCV incidence adjusted analysis by study design.

Comparison 1 Current OST versus no OST, Outcome 3 HCV incidence unadjusted analyses by different modes of OST provision.
Figuras y tablas -
Analysis 1.3

Comparison 1 Current OST versus no OST, Outcome 3 HCV incidence unadjusted analyses by different modes of OST provision.

Comparison 2 Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 2.1

Comparison 2 Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets, Outcome 1 HCV incidence.

Comparison 3 Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 3.1

Comparison 3 Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias, Outcome 1 HCV incidence.

Comparison 4 Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 4.1

Comparison 4 Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies, Outcome 1 HCV incidence.

Comparison 5 OST versus no OST, unadjusted analysis, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 5.1

Comparison 5 OST versus no OST, unadjusted analysis, Outcome 1 HCV incidence.

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 1 HCV incidence adjusted analyses by region.
Figuras y tablas -
Analysis 6.1

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 1 HCV incidence adjusted analyses by region.

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 2 HCV incidence adjusted analyses by study design.
Figuras y tablas -
Analysis 6.2

Comparison 6 High NSP coverage versus no/low NSP coverage, Outcome 2 HCV incidence adjusted analyses by study design.

Comparison 7 Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 7.1

Comparison 7 Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data, Outcome 1 HCV incidence.

Comparison 8 Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 8.1

Comparison 8 Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys, Outcome 1 HCV incidence.

Comparison 9 High NSP coverage versus low/no coverage, unadjusted estimates, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 9.1

Comparison 9 High NSP coverage versus low/no coverage, unadjusted estimates, Outcome 1 HCV incidence.

Comparison 10 Low NSP coverage versus no coverage, Outcome 1 HCV incidence, adjusted analyses.
Figuras y tablas -
Analysis 10.1

Comparison 10 Low NSP coverage versus no coverage, Outcome 1 HCV incidence, adjusted analyses.

Comparison 11 Low NSP coverage versus no NSP, unadjusted analysis, Outcome 1 HCV incidence.
Figuras y tablas -
Analysis 11.1

Comparison 11 Low NSP coverage versus no NSP, unadjusted analysis, Outcome 1 HCV incidence.

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 1 HCV incidence adjusted analyses.
Figuras y tablas -
Analysis 12.1

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 1 HCV incidence adjusted analyses.

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 2 HCV incidence unadjusted analyses.
Figuras y tablas -
Analysis 12.2

Comparison 12 Combined OST and high/low NSP versus no OST and low/no NSP, Outcome 2 HCV incidence unadjusted analyses.

Summary of findings for the main comparison. Current OST versus no OST for people who inject drugs

Current OST versus no OST

Patient or population: people who inject drugs
Settings: outpatient
Intervention: current OST versus no OST

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

No OST

Current OST

HCV incidence adjusted analyses
number of HCV seroconversion
Follow‐up: mean 440.5 person‐years

RR 0.50

(0.40 to 0.63)

6361
(12 studies)

⊕⊕⊝⊝
Lowa,b

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. 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; OST: opioid substitution therapy; RR: risk ratio.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect

aDowngraded one level due to overall moderate risk of bias in 2 studies, overall serious risk of bias in 6 studies, 2 studies at overall critical risk of bias in 2 studies; not enough information to make judgment in 2 studies.
bUpgraded one level due to large magnitude of the effect: RR: 0.5.

Figuras y tablas -
Summary of findings for the main comparison. Current OST versus no OST for people who inject drugs
Summary of findings 2. High NSP coverage versus no/low NSP coverage for people who inject drugs

High NSP coverage versus no/low NSP coverage

Patient or population: people who inject drugs
Settings: outpatients
Intervention: high NSP coverage versus no/low NSP coverage

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

No/low NSP coverage

High NSP coverage

HCV incidence adjusted analyses
number of HCV seroconversion
Follow‐up: mean 269 person‐years

RR: 0.79 (0.39 to 1.61)

3530
(5 studies)

⊕⊝⊝⊝
Very lowa,b

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. 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; NSP: needle syringe programmes; RR: risk ratio.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level due to serious overall risk of bias in all the studies.
bDowngraded one level due to significant heterogeneity: I2: 77%.

Figuras y tablas -
Summary of findings 2. High NSP coverage versus no/low NSP coverage for people who inject drugs
Summary of findings 3. Combined OST and high NSP versus no OST and low/no NSP for people who inject drugs

Combined OST and highNSP versus no OST and low/no NSP

Patient or population: people who inject drugs
Settings: outpatients
Intervention: Combined OST and high/low NSP versus no OST and low/no NSP

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

No OST and low/no NSP

Combined OST and high NSP

HCV incidence adjusted analyses
number of HCV seroconversions
Follow‐up: mean 356 person‐years

RR: 0.26 (0.07 to 0.89)

3241
(3 studies)

⊕⊕⊕⊝

Lowa,b

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. 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; NSP: needle syringe programmes; OST: opioid substitution therapy; RR: Risk ratio.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level due to serious overall risk of bias in all studies.
bUpgraded one level due to very large magnitude of the effect: RR: 0.26.

Figuras y tablas -
Summary of findings 3. Combined OST and high NSP versus no OST and low/no NSP for people who inject drugs
Table 1. Risk of bias of included studies

Study

Confounding

Selection bias

Measurement of interventions

Departures from intended interventions

Missing data

Measurement of outcomes

Selection of reported result

Overall risk of bias

Aitken 2015 [pers comm]

Critical

Critical

Serious

No info

Critical

Low

No info

Critical

Bruneau 2015 [pers comm]

Moderate

Serious

Moderate

No info

No info

Low

Low

Serious

Craine 2009

Serious

Serious

Serious

No info

Serious

Low

Low

Serious

Crofts 1997

Critical

Serious

Low

No info

Serious

Serious

Low

Critical

Hagan 1995

Serious

Serious

Serious

No info

Low

Low

Low

Serious

Hagan 1999

Moderate

Serious

Low

No info

Low

Low

Low

Serious

Holtzman 2009

Serious

Serious

Moderate

No info

No info

Low

Low

Serious

Hope 2011

Moderate

Moderate

Serious

No info

Low

Low

Low

Serious

Hope 2015 [pers comm]

Moderate

Moderate

Serious

No info

No info

Low

Low

Serious

Judd 2015 [pers comm]

Moderate

Critical

Critical

No info

Critical

Low

Low

Critical

Lucidarme 2004

Moderate

Serious

Serious

No info

Serious

Low

Low

Serious

Maher 2015

Moderate

Serious

Serious

No info

No info

Low

Low

Serious

Mehta 2015 [pers comm]

Moderate

No info

No info

No info

No info

Low

Low

No info

Nolan 2014

Serious

Serious

Moderate

No info

Low

Low

Low

Serious

Page 2015 [pers comm]

Moderate

No info

No info

No info

No info

Low

Low

No info

Palmateer 2014a

Serious

Serious

Moderate

No info

Serious

Low

Low

Serious

Patrick 2001

Serious

Moderate

Serious

No info

Serious

Low

Low

Serious

Rezza 1996

Serious

Low

Serious

No info

Critical

Low

Low

Critical

Roy 2007

Serious

Serious

Serious

No info

Critical

Low

Low

Critical

Ruan 2007

Critical

Critical

Serious

No info

Serious

Low

Low

Critical

Spittal 2012

Serious

Serious

Moderate

No info

Low

Low

Low

Serious

Thiede 2000

Moderate

Moderate

Low

No info

Low

Low

Low

Moderate

Thorpe 2002

Serious

Serious

Serious

No info

Moderate

Low

Low

Serious

Tsui 2014

Moderate

Moderate

Low

No info

Moderate

Low

Low

Moderate

Vallejo 2015

Serious

Serious

Low

No info

Serious

Low

Low

Serious

Van Beek 1998

Critical

Serious

Serious

No info

Critical

Low

Low

Critical

Van Den Berg 2007

Serious

Serious

Moderate

No info

Serious

Low

Low

Serious

White 2014

Moderate

Serious

Moderate

No info

No info

Low

Low

Serious

Figuras y tablas -
Table 1. Risk of bias of included studies
Table 2. Univariable meta‐regression analysis for studies measuring impact of current use of OST on HCV incidence

Variable

Studies

Univariable rate ratio (95% CI)

Ratio of rate ratios

(95% CI)

P value

Tau2

Geographic region

Europe

8

0.51 (0.37‐0.70)

1.0 (ref)

Australia

5

0.55 (0.28‐1.11)

1.12 (0.52‐2.41)

North America

6

0.69 (0.44‐1.08)

1.42 (0.73‐2.78)

0.53

0.10

Site of recruitment

Service attenders

12

0.67 (0.49‐0.92)

1.0 (ref)

Community

7

0.49 (0.33‐0.73)

0.73 (0.42‐1.27)

0.256

0.06

Study design

Cross‐sectional

4

0.51 (0.31‐0.85)

1.0

Prospective cohort

15

0.58 (0.43‐0.77)

1.12 (0.48‐2.61)

0.784

0.10

Females

17

1.59 (1.13‐2.29)

0.01

0.04

Prison experience

11

1.057 (0.61‐1.79)

0.821

0.43

Experience of homelessness

12

1.08 (0.83‐1.40)

0.521

0.23

Injection of stimulants

12

0.89 (0.65‐1.22)

0.373

0.17

Daily injection

7

0.88 (0.64‐1.22)

0.373

0.17

CI: confidence interval; HCV: hepatitis C virus; OST: opioid substitution therapy.

Figuras y tablas -
Table 2. Univariable meta‐regression analysis for studies measuring impact of current use of OST on HCV incidence
Table 3. Univariable meta‐regression analysis for studies measuring impact of high NSP coverage on HCV incidence

Variable

Studies

Univariable rate ratio (95%CI)

Ratio of rate ratios (95%CI)

P value

Tau2

Geographic region

Europe

5

0.44 (0.24‐0.80)

1.0 (Ref)

North America

3

1.58 (0.57‐4.42)

3.73 (0.95‐14.7)

0.057

0.41

Recruitment site

Service attenders

3

0.67 (0.28‐1.59)

1.0 (Ref)

Community

5

0.82 (0.29‐2.32)

0.76(0.12‐4.88)

0.74

0.89

Study design

Cross‐sectional survey

3

0.34 (0.16‐0.75)

1.0 (Ref)

Prospective cohort

4

1.26 (0.55‐2.93)

3.53 (0.78‐15.86)

0.087

0.48

Females

7

2.97(0.38‐23.1)

0.24

0.87

Prison experience

3

NA

Experience of homelessness

6

1.01 (0.38‐2.67)

0.976

1.53

Injection of stimulants

7

1.08 (0.47‐2.51)

0.827

1.15

Daily injection

5

3.66 (0.22‐61.3)

0.239

1.15

CI: confidence interval; HCV: hepatitis C virus; NSP: needle syringe programmes.

Figuras y tablas -
Table 3. Univariable meta‐regression analysis for studies measuring impact of high NSP coverage on HCV incidence
Comparison 1. Current OST versus no OST

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses by region Show forest plot

12

6361

Risk Ratio (Random, 95% CI)

0.50 [0.40, 0.63]

1.1 North America

5

2245

Risk Ratio (Random, 95% CI)

0.57 [0.42, 0.76]

1.2 Europe

5

3494

Risk Ratio (Random, 95% CI)

0.43 [0.27, 0.68]

1.3 Australia

2

622

Risk Ratio (Random, 95% CI)

0.42 [0.25, 0.72]

2 HCV incidence adjusted analysis by study design Show forest plot

12

6361

Risk Ratio (Random, 95% CI)

0.50 [0.40, 0.63]

2.1 Prospective cohort

10

3467

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.65]

2.2 Cross‐sectional surveys

2

2894

Risk Ratio (Random, 95% CI)

0.46 [0.23, 0.89]

3 HCV incidence unadjusted analyses by different modes of OST provision Show forest plot

9

Risk Ratio (Random, 95% CI)

Subtotals only

3.1 Ever used OST

3

375

Risk Ratio (Random, 95% CI)

0.81 [0.52, 1.27]

3.2 Interrupted OST use

3

1157

Risk Ratio (Random, 95% CI)

0.80 [0.57, 1.10]

3.3 Detoxification

1

552

Risk Ratio (Random, 95% CI)

1.45 [0.79, 2.66]

3.4 High dose

2

453

Risk Ratio (Random, 95% CI)

0.52 [0.29, 0.94]

3.5 Low dose

2

453

Risk Ratio (Random, 95% CI)

0.85 [0.44, 1.65]

Figuras y tablas -
Comparison 1. Current OST versus no OST
Comparison 2. Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

8

5235

Risk Ratio (Random, 95% CI)

0.42 [0.31, 0.58]

Figuras y tablas -
Comparison 2. Sensitivity analysis: OST versus no OST, adjusted analyses excluding unpublished datasets
Comparison 3. Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

9

5782

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.64]

Figuras y tablas -
Comparison 3. Sensitivity analysis: OST versus no OST, adjusted analyses excluding studies at critical risk of bias
Comparison 4. Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

10

3467

Risk Ratio (Random, 95% CI)

0.51 [0.40, 0.65]

Figuras y tablas -
Comparison 4. Sensitivity analysis: OST versus no OST, adjusted analyses excluding cross‐sectional studies
Comparison 5. OST versus no OST, unadjusted analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

16

9499

Risk Ratio (Random, 95% CI)

0.57 [0.45, 0.73]

Figuras y tablas -
Comparison 5. OST versus no OST, unadjusted analysis
Comparison 6. High NSP coverage versus no/low NSP coverage

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses by region Show forest plot

5

3530

Risk Ratio (Random, 95% CI)

0.79 [0.39, 1.61]

1.1 North America

3

627

Risk Ratio (Random, 95% CI)

1.25 [0.63, 2.46]

1.2 Europe

2

2903

Risk Ratio (Random, 95% CI)

0.24 [0.09, 0.62]

2 HCV incidence adjusted analyses by study design Show forest plot

5

3530

Risk Ratio (Random, 95% CI)

0.95 [0.50, 1.82]

2.1 Prospective cohorts

3

627

Risk Ratio (Random, 95% CI)

1.44 [1.01, 2.05]

2.2 Cross‐sectional surveys

2

2903

Risk Ratio (Random, 95% CI)

0.24 [0.09, 0.62]

Figuras y tablas -
Comparison 6. High NSP coverage versus no/low NSP coverage
Comparison 7. Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

4

3245

Risk Ratio (Random, 95% CI)

0.77 [0.28, 2.13]

Figuras y tablas -
Comparison 7. Sensitivity analysis: high NSP versus low/no NSP, excluding unpublished data
Comparison 8. Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

3

627

Risk Ratio (Random, 95% CI)

1.25 [0.63, 2.46]

Figuras y tablas -
Comparison 8. Sensitivity analysis: high NSP versus low/no NSP, excluding cross‐sectional surveys
Comparison 9. High NSP coverage versus low/no coverage, unadjusted estimates

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

7

6455

Risk Ratio (Random, 95% CI)

0.78 [0.39, 1.55]

Figuras y tablas -
Comparison 9. High NSP coverage versus low/no coverage, unadjusted estimates
Comparison 10. Low NSP coverage versus no coverage

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence, adjusted analyses Show forest plot

6

2765

Risk Ratio (Random, 95% CI)

1.43 [0.82, 2.49]

Figuras y tablas -
Comparison 10. Low NSP coverage versus no coverage
Comparison 11. Low NSP coverage versus no NSP, unadjusted analysis

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence Show forest plot

9

3242

Risk Ratio (Random, 95% CI)

1.41 [0.95, 2.09]

Figuras y tablas -
Comparison 11. Low NSP coverage versus no NSP, unadjusted analysis
Comparison 12. Combined OST and high/low NSP versus no OST and low/no NSP

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 HCV incidence adjusted analyses Show forest plot

3

6197

Risk Ratio (Random, 95% CI)

0.45 [0.22, 0.94]

1.1 High NSP coverage

3

3241

Risk Ratio (Random, 95% CI)

0.26 [0.07, 0.89]

1.2 Low NSP coverage

2

2956

Risk Ratio (Random, 95% CI)

0.87 [0.44, 1.68]

2 HCV incidence unadjusted analyses Show forest plot

4

6427

Risk Ratio (Random, 95% CI)

0.47 [0.27, 0.80]

2.1 Combined OST and high NSP versus no OST and low/no NSP

4

3356

Risk Ratio (Random, 95% CI)

0.29 [0.13, 0.65]

2.2 Combined OST and low NSP versus no OST and low/no NSP

3

3071

Risk Ratio (Random, 95% CI)

0.76 [0.44, 1.33]

Figuras y tablas -
Comparison 12. Combined OST and high/low NSP versus no OST and low/no NSP