Application of the Composite Quality Score (CQS-2B) versus Cochrane’s Risk of Bias tool (Version 2) in systematic reviews of clinical trials – an exploratory study
Steffen Mickenautsch, Stefan Rupf, Veerasamy Yengopal

TL;DR
This study compares two tools for evaluating clinical trial quality and finds that one may lead to more conservative conclusions.
Contribution
The study introduces a hypothesis that the CQS-2B tool may yield more conservative conclusions than RoB 2 in systematic reviews.
Findings
Pooled effect estimates using RoB 2 and CQS-2B showed no statistically significant difference.
Clinical conclusions aligned with RoB 2 but not with CQS-2B due to perceived overestimation.
A hypothesis was generated that CQS-2B may provide more conservative conclusions.
Abstract
To explore whether systematic review conclusions generated from Cochrane’s second version of its Risk of Bias tool (RoB 2) for trial appraisal differ when the Composite Quality Score, Version 2.B (CQS-2B) is used instead and to develop a testable hypothesis based on these findings. PubMed was searched for one single systematic review. From the review’s accepted trials, data concerning effect estimates and overall bias risk according to the RoB 2 tool were extracted. All trial reports were appraised again using the CQS-2B. Datasets were stratified according to overall bias risk (RoB 2) or corroboration (C-) level (CQS-2B). The effect estimates from trials with ‘low bias risk’ (RoB 2) and with highest C-level (CQS-2B) were pooled separately. These pooled effect estimates were statistically and all clinical conclusions qualitatively compared. The pooled effect estimates for trials with…
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Taxonomy
TopicsMeta-analysis and systematic reviews · Statistical Methods in Clinical Trials · Reliability and Agreement in Measurement
