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Meta‐regression is widely used in systematic reviews to investigate sources of heterogeneity and the association of study‐level covariates with treatment effectiveness. Existing meta‐regression approaches are successful in adjusting for baseline covariates, which include real study‐level covariates (e.g., publication year) that are invariant within a study and aggregated baseline covariates (e.g.,...
Systematic reviews and meta‐analyses synthesize results from well‐conducted studies to optimize healthcare decision‐making. Network meta‐analysis (NMA) is particularly useful for improving precision, drawing new comparisons, and ranking multiple interventions. However, recommendations can be misled if published results are a selective sample of what has been collected by trialists, particularly when...