Potential Value of Identifying Type 2 Diabetes Subgroups for Guiding Intensive Treatment: A Comparison of Novel Data-Driven Clustering With Risk-Driven Subgroups

What is it about?

Classifying type 2 diabetes according to cut-offs for HbA1c and cardiovascular risk better identifies individuals for treatment intensification compared to data-driven clustering. Cholesterol and weight control showed significant potential for benefit, even in contemporary cohorts.

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