Exploring predictive factors of physiological, biochemical indicators, and lifestyle for macrovascular complications in type 2 diabetes: a synthesis of machine learning models.

Front Endocrinol (Lausanne) · 2026 · PMC12955086 · PMID 41782747

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a clear trendP < 0.001actually significant

The comparison of demographic characteristics between the T2DM and T2DM+C groups The results showed a clear trend toward younger patients in the T2DM+C cohort, with 22.9% of patients aged ≤50 years, significantly higher than the 6.6% in the pure T2DM cohort ( χ 2=217.61, P < 0.001).

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