Dataset: effect estimates obtained from randomised and non-randomised studies

Salcher-Konrad, M.ORCID logo, Nguyen, M. & Naci, H.ORCID logo (2024). Dataset: effect estimates obtained from randomised and non-randomised studies. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.4958221
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This dataset provides study-level information on matched sets of published randomised and non-randomised studies answering the same clinical questions. The dataset includes 346 meta-analyses, and data on over 2,700 unique studies. The dataset includes the following information (definitions and coding are provided in the spreadsheet): IDs for clinical topics and source meta-analyses IDs for individual studies Brief descriptions of clinical topics Therapeutic area (ATC Code first level) Topic narrowness categorical Indicators for high-quality source meta-analyses (Cochrane review; top journal) Time period Comparator type Outcome type Meta-analysis-level median risk of bias for NRS and RCT Publication year of individual studies Risk of Bias in individual studies Standardised effect estimates (logOR) and variance for each study Summary logOR and variance for NRS and RCT, respectively, within each meta-analysis for the full sample The protocol for this study was registered on PROSPERO: Maximilian Salcher-Konrad. Comparison of treatment effects in randomised vs. non-randomised studies and the role of analytical methods to control for confounding: a meta-epidemiological study. PROSPERO 2018 CRD42018062204 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018062204

Available at: 10.5281/zenodo.4958221

Access level: Open

Licence: Creative Commons: Attribution 4.0


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