Summary
This 2023 review by Stefan and Schulze in The Lancet Diabetes & Endocrinology synthesises current understanding of metabolic health phenotypes and their clustering patterns as they relate to cardiometabolic disease risk. The authors appear to examine how stratifying individuals by metabolic health status—rather than body weight or BMI alone—may improve risk prediction and inform prevention and treatment strategies. The work suggests that metabolic phenotyping offers a more nuanced framework for understanding heterogeneity in cardiometabolic outcomes.
Regional applicability
As a review in a high-impact endocrinology journal, the findings are likely applicable to United Kingdom clinical practice and diabetes prevention policy, though the specific evidence base would reflect the international literature reviewed rather than UK-specific epidemiology.
Key measures
Metabolic health clusters, cardiometabolic risk factors, phenotype classifications
Outcomes reported
The study examined metabolic health phenotypes and their clustering patterns in relation to cardiometabolic risk. It assessed implications for clinical prediction, prevention strategies, and treatment approaches in populations with or at risk of type 2 diabetes.
Topic tags
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