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Are We Missing the Forest for the Trees? How Bayesian Meta‐Analysis Could Reshape Evidence in Cardiology

Year: 2025

Type: article

Abstract: Meta-analyses in cardiology often reduce complex clinical data to a simple dichotomy of significant versus non-significant.While this simplification produces objective data with forest plots and clear headlines, it frequently hides the nuances that carry the real clinical message.Imagine a pooled analysis of transcatheter aortic valve replacement (TAVR) trials showing a mortality reduction with p = 0.08.Under frequentist rules, the conclusion is "no benefit."But does a p value just above 0.05 really mean the therapy has no effect?Or does it mean we lack certainty about a signal that may matter for patients?

Source: Catheterization and Cardiovascular Interventions

DOI: 10.1002/ccd.70298

Authors: Vinícius Martins Rodrigues Oliveira, Lucas M. Barbosa

Institutions: Universidade Federal de Goiás, Universidade Federal de Minas Gerais

Language: English

Topic: Meta-analysis and systematic reviews

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4415835606

FWCI:

Cites: 7

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