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September 5, 2025Open Access

Development of a Predictive Model and Nomogram for Neuropathy Risk in T2DM Patients

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Authors

BWBiao WangSFSiyu FengFYFang Yuan

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Overview

This research develops a nomogram for neuropathy risk in T2DM patients, highlighting logistic regression outcomes and predictors.

Key Points

  • The nomogram effectively predicts neuropathy risk in T2DM patients, facilitating early intervention.
  • Model evaluation revealed an AUC of 0.743 in training and 0.751 in testing datasets, indicating good predictive performance.
  • Univariate logistic regression identified ten predictors, including age and urinary albumin, that are integrated into the nomogram.
  • The model offers significant clinical utility for managing T2DM complications, improving patient outcomes.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68bb49d26d6d5674bccfffc2https://doi.org/10.21203/rs.3.rs-6556009/v1
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