Subgroup analysis: Who benefits most from a treatment?

Clinical trial results usually tell us how effective a treatment was on average for the overall group of participants, but a key question for clinicians, patients and policy makers is: which individual patients benefit most from the treatment and which don’t benefit as much? In the latest episode of the Trial Talk podcast, Peter Godolphin and David Fisher discuss a new method for determining how treatment effects differ between subgroups of patients across multiple clinical trials, as well as how other meta-analysis researchers can use it. Resources: • Estimating interactions and subgroup-specific treatment effects in meta-analysis without aggregation bias: A within-trial framework onlinelibrary.wiley.com/doi/10.1002/jrsm.1590 • Cochrane webinar recording training.cochrane.org/resource/estim…-meta-analysis • GitHub page for metafloat package in Stata github.com/UCL/metafloat • WHO REACT Group: IL6 Prospective meta-analysis jamanetwork.com/journals/jama/fullarticle/2781880 • STOPCAP c