How We Can Err if We Rely on Randomized Controlled Trials

Dr Trish Greenhalgh explains how we miss the boat when we discount real-world evidence in favor of randomized trial evidence. This podcast is intended for US healthcare professionals only. To read a full transcript of this episode or to comment please visit: Eric J. Topol, MD, Director, Scripps Translational Science Institute; Professor of Molecular Medicine, The Scripps Research Institute, La Jolla, California; Editor-in-Chief, Medscape Abraham Verghese, MD, Physician, author, and educator; Professor and Vice Chair, Theory & Practice of Medicine, Department of Medicine, Stanford University, Stanford, California Trish Greenhalgh, OBE, MD, Professor of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom Orthodoxy, illusio , and playing the scientific game: a Bourdieusian analysis of infection control science in the COVID-19 pandemic [version 3; peer review: 2 approved]. Wellcome Open Res 2021, 6:126 Ten scientific reasons in support of airborne transmission of SARS-CoV-2. The Lancet , Vol 397; May 2021 Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent. BMJ Evidence-Based Medicine October 2022; volume 27; number 5 Long covid—an update for primary care. BMJ 2022;378:e072117 You may also like: Medscape's Chief Cardiology Correspondent Dr John M. Mandrola's This Week In Cardiology Discussions on topics at the core of cardiology and the practice of medicine with Dr Robert A. Harrington and guests on The Bob Harrington Show For questions or feedback, please email: news@medscape.net

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How We Can Err if We Rely on Randomized Controlled Trials is an episode from Medicine and the Machine by Medscape Podcasts.

This episode is 40:51 long.

This episode was published on Nov 23, 2022.

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