2023
DOI: 10.1111/1753-0407.13407
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Development and validation of a multivariable risk prediction model for identifying ketosis‐prone type 2 diabetes

Abstract: BackgroundTo develop and validate a multivariable risk prediction model for ketosis‐prone type 2 diabetes mellitus (T2DM) based on clinical characteristics.MethodsA total of 964 participants newly diagnosed with T2DM were enrolled in the modeling and validation cohort. Baseline clinical data were collected and analyzed. Multivariable logistic regression analysis was performed to select independent risk factors, develop the prediction model, and construct the nomogram. The model's reliability and validity were … Show more

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