• Episode 3: Subgroup analysis - Who benefits most from a treatment?

  • Mar 14 2024
  • Length: 29 mins
  • Podcast

Episode 3: Subgroup analysis - Who benefits most from a treatment?

  • Summary

  • 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 collaborators: Docetaxel IPD meta-analysis www.thelancet.com/journals/lanonc/…00230-9/fulltext

    For questions about the within-trial framework for subgroup analysis, you can email d.fisher@ucl.ac.uk or p.godolphin@ucl.ac.uk.
    For more information and to access the transcript: bit.ly/43boETF
    For questions or feedback on the podcast series, message us at mrcctu.engage@ucl.ac.uk
    As a listener, your opinion is very valuable to us. Please help us to improve the podcast in the future by filling in this short survey: forms.office.com/e/PjfjQ5Mn6g


    Date of episode recording: 2024-03-12T00:00:00Z
    Duration: 00:28:44
    Language of episode: English
    Presenter: Charlotte Hartley
    Guests: Peter Godolphin, David Fisher
    Producer: Charlotte Hartley

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