RoB 2: a revised tool for assessing risk of bias in randomised trials

被引：6855

作者：

Sterne, Jonathan A. C. ^{[1
,2
]}

Savovic, Jelena ^{[1
,3
]}

Page, Matthew J. ^{[4
]}

Elbers, Roy G. ^{[1
]}

Blencowe, Natalie S. ^{[1
,2
]}

Boutron, Isabelle ^{[5
,6
,7
]}

Cates, Christopher J. ^{[8
]}

Cheng, Hung-Yuan ^{[1
,2
]}

Corbett, Mark S. ^{[9
]}

Eldridge, Sandra M. ^{[10
]}

Emberson, Jonathan R. ^{[11
,12
]}

Hernan, Miguel A. ^{[13
,14
]}

Hopewell, Sally ^{[15
]}

Hrobjartsson, Asbjorn ^{[16
,17
,18
]}

Junqueira, Daniela R. ^{[19
]}

Juni, Peter ^{[20
,21
]}

Kirkham, Jamie J. ^{[22
]}

Lasserson, Toby ^{[23
]}

Li, Tianjing ^{[24
]}

McAleenan, Alexandra ^{[1
]}

Reeves, Barnaby C. ^{[2
,25
]}

Shepperd, Sasha ^{[26
]}

Shrier, Ian ^{[27
]}

Stewart, Lesley A. ^{[9
]}

Tilling, Kate ^{[1
,2
,28
]}

White, Ian R. ^{[29
]}

Whiting, Penny F. ^{[1
,3
]}

Higgins, Julian P. T. ^{[1
,2
,3
]}

机构：

[1] Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol BS8 2BN, Avon, England

[2] NIHR Bristol Biomed Res Ctr, Bristol, Avon, England

[3] Univ Hosp Bristol NHS Fdn Trust, NIHR CLAHRC West, Bristol, Avon, England

[4] Monash Univ, Sch Publ Hlth & Prevent Med, Melbourne, Vic, Australia

[5] INSERM, METHODS Team, Epidemiol & Biostat Ctr, UMR 1153, Paris, France

[6] Paris Descartes Univ, Paris, France

[7] Cochrane France, Paris, France

[8] St Georges Univ London, Populat Hlth Res Inst, London, England

[9] Univ York, Ctr Reviews & Disseminat, York, N Yorkshire, England

[10] Queen Mary Univ London, Pragmat Clin Trials Unit, Ctr Primary Care & Publ Hlth, London, England

[11] Univ Oxford, MRC Populat Heath Res Unit, Clin Trial Serv Unit, Oxford, England

[12] Univ Oxford, Epidemiol Studies Unit, Nuffield Dept Populat Hlth, Oxford, England

[13] Harvard Mit Div Hlth Sci & Technol, Dept Epidemiol, Harvard TH Chan Sch Publ Hlth, Boston, MA USA

[14] Harvard Mit Div Hlth Sci & Technol, Dept Biostat, Harvard TH Chan Sch Publ Hlth, Boston, MA USA

[15] Univ Oxford, Ctr Stat Med, Nuffield Dept Orthopaed Rheumatol & Musculoskelet, Oxford, England

[16] Odense Univ Hosp, Ctr Evidence Based Med Odense, Odense, Denmark

[17] Univ Southern Denmark, Dept Clin Res, Odense, Denmark

[18] Odense Univ Hosp, Open Patient Data Explorat Network, Odense, Denmark

[19] Univ Alberta, Fac Med & Dent, Dept Emergency Med, Edmonton, AB, Canada

[20] Univ Toronto, Appl Hlth Res Ctr, Li Ka Shing Knowledge Inst, St Michaels Hosp,Dept Med, Toronto, ON, Canada

[21] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada

[22] Univ Manchester, Ctr Biostat, Manchester, Lancs, England

[23] Cochrane Cent Execut, Editorial & Methods Dept, London, England

[24] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA

[25] Univ Bristol, Bristol Med Sch, Translat Hlth Sci, Bristol, Avon, England

[26] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England

[27] McGill Univ, Ctr Clin Epidemiol, Lady Davis Inst, Jewish Gen Hosp, Montreal, PQ, Canada

[28] Univ Bristol, MRC Integrat Epidemiol Unit, Bristol, Avon, England

[29] UCL, MRC Clin Trials Unit, London, England

来源：

BMJ-BRITISH MEDICAL JOURNAL | 2019年 / 366卷

基金：

英国医学研究理事会;

关键词：

ASSESSMENTS; CONSENSUS; INTENTION; QUALITY; TREAT;

D O I：

10.1136/bmj.l4898

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Assessment of risk of bias is regarded as an essential component of a systematic review on the effects of an intervention. The most commonly used tool for randomised trials is the Cochrane risk-of-bias tool. We updated the tool to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.

引用

页数：8

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