Using machine learning to uncover heterogeneity of beta blocker response in heart failure.
meta_analysis · Level I
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- Record sourced from PubMed, PMID 35106513.
- Also identified by DOI 10.1016/j.xcrm.2021.100504 and PMC identifier 8784765.
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Abstract
A recent study by Karwath et al.<sup>1</sup> in <i>The Lancet</i> applied machine learning-based cluster analysis to pooled data from nine double-blind, randomized controlled trials of beta blockers, identifying subgroups of efficacy in patients with sinus rhythm and atrial fibrillation.
Medical subject headings
- Atrial Fibrillation
- Heart Failure