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Development and validation of a prediction model for microvascular complications of type 2 diabetes based on inflammation-metabolism composite indicators.

Front Endocrinol (Lausanne) · 2026 · PMC13122653 · PMID 42058783

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hedged sentence
0.0700
closest p · 1.4× alpha
0.0700
boldest claim

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did not reach statistical significanceP = 0.070so close (0.05 < p ≤ 0.1)
The final model revealed that age, duration of diabetes, duration of hypertension, UACR (>30 mg/g), SIRI, and TyG index are independent correlates of microvascular complications in type 2 diabetes mellitus (T2DM), while TyG-BMI did not reach statistical significance in the multivariate analysis (P = 0.070). 3.5 Evaluation of the efficacy of each indicator in predicting microvascular complications of type 2 diabetes mellitus To clarify the independent predictive efficacy of various risk factors for microvascular complications in Type 2 Diabetes Mellitus (T2DM), this study utilized training set data to plot the ROC curves for each indicator predicting T2DM microvascular complications, and calculated sensitivity, specificity, precision, F1 score, accuracy, and AUC values (95% CI), as shown in Figure 5 and Table 8 .

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