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External factors may influence Cochrane reviewers when classifying the risk of bias of original reports

Authors :
Bertizzolo, Lorenzo
Bossuyt, Patrick M.
Atal, Ignacio
Ravaud, Philippe
Dechartres, Agnès
Graduate School
APH - Methodology
APH - Personalized Medicine
Epidemiology and Data Science
Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153))
Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Centre de Pharmacoépidémiologie de l'AP-HP (Cephepi)
CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Source :
Journal of clinical epidemiology, 123, 1-8. Elsevier USA, Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2020, 123, pp.1-8. ⟨10.1016/j.jclinepi.2020.03.008⟩
Publication Year :
2020

Abstract

Objective: The objective of the study was to explore contextual factors associated with high or low risk-of-bias judgment in case of incomplete or unclear information in study reports. Study Design and Setting: Research-on-research study, using matched case–control design, with a sample of 304 randomized controlled trials (RCTs) included in two Cochrane reviews for which there was disagreement on the risk-of-bias judgment related to incomplete or unclear information in the study report. A case was defined as an RCT judged at high or low risk of bias; a control was the same RCT judged at unclear risk. We used a conditional logistic regression model for analysis. Results: Review authors being also authors of the RCT were more likely to assess an item at low risk of bias than unclear (OR: 11.71; 95% CI: 1.39–98.76). Earlier trials in a review were more often assigned a low risk (OR: 0.37; [0.15–0.96]). Review groups and authors that had completed a lower number of reviews slightly more often assigned a low risk, whereas others reported “unclear” (OR: 0.97, [95% CI: 0.95–0.99] for groups) and 0.97 (95% CI: 0.95–0.998) for authors). Conclusions: Risk-of-bias assessment of RCTs in case of incomplete or unclear information may be affected by contextual factors.

Details

Language :
English
ISSN :
08954356
Database :
OpenAIRE
Journal :
Journal of clinical epidemiology, 123, 1-8. Elsevier USA, Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2020, 123, pp.1-8. ⟨10.1016/j.jclinepi.2020.03.008⟩
Accession number :
edsair.dedup.wf.001..c4718dac0f484a891e0f9bdf2ef70c83
Full Text :
https://doi.org/10.1016/j.jclinepi.2020.03.008⟩