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Wang Y, Ghadimi M, Wang Q, Hou L, Zeraatkar D, Iqbal A, Ho C, Yao L, Hu M, Ye Z, Couban R, Armijo-Olivo S, Bassler D, Briel M, Gluud LL, Glasziou P, Jackson R, Keitz SA, Letelier LM, Ravaud P, Schulz KF, Siemieniuk RAC, Brignardello-Petersen R, Guyatt GH. Instruments assessing risk of bias of randomized trials frequently included items that are not addressing risk of bias issues. J Clin Epidemiol 2022; 152:218-225. [PMID: 36424692 DOI: 10.1016/j.jclinepi.2022.10.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 10/05/2022] [Accepted: 10/21/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVES To establish whether items included in instruments published in the last decade assessing risk of bias of randomized controlled trials (RCTs) are indeed addressing risk of bias. STUDY DESIGN AND SETTING We searched Medline, Embase, Web of Science, and Scopus from 2010 to October 2021 for instruments assessing risk of bias of RCTs. By extracting items and summarizing their essential content, we generated an item list. Items that two reviewers agreed clearly did not address risk of bias were excluded. We included the remaining items in a survey in which 13 experts judged the issue each item is addressing: risk of bias, applicability, random error, reporting quality, or none of the above. RESULTS Seventeen eligible instruments included 127 unique items. After excluding 61 items deemed as clearly not addressing risk of bias, the item classification survey included 66 items, of which the majority of respondents deemed 20 items (30.3%) as addressing risk of bias; the majority deemed 11 (16.7%) as not addressing risk of bias; and there proved substantial disagreement for 35 (53.0%) items. CONCLUSION Existing risk of bias instruments frequently include items that do not address risk of bias. For many items, experts disagree on whether or not they are addressing risk of bias.
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Affiliation(s)
- Ying Wang
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
| | - Maryam Ghadimi
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Qi Wang
- Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
| | - Liangying Hou
- Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
| | - Dena Zeraatkar
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Atiya Iqbal
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Cameron Ho
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Liang Yao
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Malini Hu
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Zhikang Ye
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Rachel Couban
- Department of Anesthesia, McMaster University, Hamilton, Ontario, Canada
| | - Susan Armijo-Olivo
- University of Applied Sciences, Faculty of Business and Social Sciences, Osnabrück, Germany; Faculty of Rehabilitation Medicine, Department of Physical Therapy, University of Alberta, Edmonton Canada
| | - Dirk Bassler
- Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Matthias Briel
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada; Meta-Research Centre Basel, Department of Clinical Research, University Hospital Basel, Switzerland
| | - Lise Lotte Gluud
- Gastro Unit, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark
| | - Paul Glasziou
- Institute for Evidence-Based Healthcare, Bond University, Gold Coast, Queensland, Australia
| | - Rod Jackson
- Section of Epidemiology & Biostatistics at the School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, New Zealand
| | - Sheri A Keitz
- Department of Medicine, Lahey Hospital & Medical Center, Burlington, MA, USA
| | - Luz M Letelier
- Department of Internal Medicine, Escuela de Medicina, Pontificia Universidad Catolica de Chile, Alameda 340, Santiago, Chile
| | - Philippe Ravaud
- Epidemiology and Statistics Sorbonne Paris Cité Research Center (CRESS), INSERM, Université Paris Descartes, Paris, France
| | - Kenneth F Schulz
- School of Medicine, University of North Carolina at Chapel Hill, USA
| | - Reed A C Siemieniuk
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | | | - Gordon H Guyatt
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
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