2022
DOI: 10.1016/j.jclinepi.2022.10.018
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Instruments assessing risk of bias of randomized trials frequently included items that are not addressing risk of bias issues

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Cited by 13 publications
(6 citation statements)
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“…Each domain was answered with ‘definitely yes’ (low risk of bias), ‘probably yes’, ‘probably no’ or ‘definitely no’ (high risk of bias). The major reason to choose the modified version of the Cochrane risk‐of‐bias tool is that existing instruments frequently include items that do not address the risk of bias 34 . We judged an overall high risk of bias if any domain had a high risk of bias.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Each domain was answered with ‘definitely yes’ (low risk of bias), ‘probably yes’, ‘probably no’ or ‘definitely no’ (high risk of bias). The major reason to choose the modified version of the Cochrane risk‐of‐bias tool is that existing instruments frequently include items that do not address the risk of bias 34 . We judged an overall high risk of bias if any domain had a high risk of bias.…”
Section: Methodsmentioning
confidence: 99%
“…The major reason to choose the modified version of the Cochrane risk-of-bias tool is that existing instruments frequently include items that do not address the risk of bias. 34 We judged an overall high risk of bias if any domain had a high risk of bias.…”
Section: Risk-of-bias Assessmentmentioning
confidence: 99%
“…Analyzing bias helps to improve the quality of evidence available for decision-making processes and ensures that the scientific literature remains reliable, allowing researchers to build upon a solid foundation of unbiased evidence. By carefully evaluating and addressing bias, researchers can enhance the quality and impact of their work (Reveiz et al, 2015;Wang et al, 2022).…”
Section: Resultsmentioning
confidence: 99%
“…Heterogeneity reflects widely varying estimates of treatment effects across individual studies, indicating real differences in potential treatment effects (Yang et al, 2023); thus, higher heterogeneity in outcomes across studies is downgraded due to inconsistency across results. In terms of limitations, no study described specific information on allocation concealment and blinding, thereby reducing the quality of evidence assessment based on the study design, which may lead to biased estimates of treatment effects (Wang et al, 2024). In terms of imprecision, when a study sample size is small, CIs for outcomes tend to be wider, contributing to uncertainty of the results (Guyatt et al, 2023).…”
Section: Discussionmentioning
confidence: 99%