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Agreement was moderate between data-based and opinion-based assessments of biases affecting randomised trials within meta-analyses

Turner, RM; Rhodes, KM; Jones, HE; Higgins, J; Haskins, J; Whiting, P; Hróbjartsson, A; ... Savović, J; + view all (2020) Agreement was moderate between data-based and opinion-based assessments of biases affecting randomised trials within meta-analyses. Journal of Clinical Epidemiology , 125 pp. 16-25. 10.1016/j.jclinepi.2020.05.009. Green open access

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Abstract

BACKGROUND: Randomised trials included in meta-analyses are often affected by bias caused by methodological flaws or limitations, but the degree of bias is unknown. Two proposed methods adjust trial results for bias using: (1) empirical evidence from published meta-epidemiological studies; or (2) expert opinion. METHODS: We investigated agreement between data-based and opinion-based approaches to assessing bias in each of four domains: sequence generation, allocation concealment, blinding and incomplete outcome data. From each sampled meta-analysis, a pair of trials with the highest and lowest empirical model-based bias estimates was selected. Independent assessors were asked which trial within each pair was judged more biased on the basis of detailed trial design summaries. RESULTS: Assessors judged trials to be equally biased in 68% of pairs evaluated. When assessors judged one trial as more biased, the proportion of judgements agreeing with the model-based ranking was highest for allocation concealment (79%) and blinding (79%) and lower for sequence generation (59%) and incomplete outcome data (56%). CONCLUSIONS: Most trial pairs found to be discrepant empirically were judged to be equally biased by assessors. We found moderate agreement between opinion and data-based evidence in pairs where assessors ranked one trial as more biased.

Type: Article
Title: Agreement was moderate between data-based and opinion-based assessments of biases affecting randomised trials within meta-analyses
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jclinepi.2020.05.009
Publisher version: https://doi.org/10.1016/j.jclinepi.2020.05.009
Language: English
Additional information: Copyright © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Bias, Meta-analysis, Randomised trials, Systematic reviews
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10098132
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