Risk-of-bias assessment using Cochrane's revised tool for randomized trials (RoB 2) was useful but challenging and resource-intensive: observations from a systematic review.

Certainty assessment Process duration Research methods Risk of bias RoB2 Systematic reviews

Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
09 2023
Historique:
received: 27 03 2023
revised: 12 06 2023
accepted: 20 06 2023
medline: 3 11 2023
pubmed: 27 6 2023
entrez: 26 6 2023
Statut: ppublish

Résumé

To report our experience using version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2). Two reviewers independently applied RoB 2 to results of interest in a large systematic review of complex interventions and reached consensus. We recorded the time taken, and noted and discussed our difficulties using the tool, and the resolutions we adopted. We explored the time taken with regression analysis and summarized our experience of implementing the tool. We assessed risk of bias in 860 results of interest in 113 studies. Staff resource averaged 358 minutes per study (SD 183). Number of results (β = 22) and reports (β = 14) per study and experience of the team (β = -6) significantly affected assessment time. To implement the tool consistently, we developed cut points for missingness and considerations of balance regarding missingness, assumed some concerns with intervention deviations unless otherwise prevented or investigated, some concerns with measurements from unblinded self-reporting participants, and judged low risk of selection for certain dichotomous outcomes despite the absence of an analysis plan. The RoB 2 tool and guidance are useful but resource-intensive and challenging to implement. Critical appraisal tools and reporting guidelines should detail risk of bias implementation. Improved guidance focusing on implementation could assist reviewers.

Identifiants

pubmed: 37364620
pii: S0895-4356(23)00163-4
doi: 10.1016/j.jclinepi.2023.06.015
pii:
doi:

Types de publication

Systematic Review Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

39-45

Subventions

Organisme : Department of Health
ID : NIHR128862
Pays : United Kingdom

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Andrew Clegg declares funding through the NIHR HTA programme, NIHR Programme Grants for Applied Research, NIHR HS&DR programme, NIHR Applied Research Collaboration Yorkshire & Humber, and Health Data Research UK; Anne Forster declares NIHR Senior Investigator Award 2017-present, NIHR Programme Grant 10% of salary, NIHR HS&DR grant 8% of salary, HTA grant 5% of salary, National Institute for Health (USA) payment for panel membership 2021, 2022, participation in Programme Steering Committees for NIHR 202,339 Improving the lives of stroke survivors with data, and NIHR202020 Research Title Personalised Exercise-Rehabilitation FOR people with Multiple long-term conditions (multimorbidity)-The PERFORM trial, University of Leeds Governor representative on the Governors Board of Bradford Teaching Hospitals NHS Foundation Trust, member of HSDR Researcher-Led panel, member of NIHR Doctoral Fellowship Panel member of Policy Research Unit assessment panel. Other authors declare no potential conflicts of interest.

Auteurs

Thomas Frederick Crocker (TF)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK. Electronic address: tom.crocker@bthft.nhs.uk.

Natalie Lam (N)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Magda Jordão (M)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Caroline Brundle (C)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Matthew Prescott (M)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Anne Forster (A)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

Joie Ensor (J)

Centre for Prognosis Research, Keele School of Medicine, Keele University, Keele, Staffordshire, UK.

John Gladman (J)

Centre for Rehabilitation & Ageing Research, Academic Unit of Injury, Inflammation and Recovery Sciences, University of Nottingham and Health Care of Older People, Nottingham University Hospitals NHS Trust, Nottingham, UK.

Andrew Clegg (A)

Academic Unit for Ageing and Stroke Research (University of Leeds), Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK.

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Classifications MeSH