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Assessment of Ten Insulin Resistance Surrogate Indexes Predicts New-Onset Cardiovascular Disease Incidence in Patients with Prediabetes or Diabetes: Insights from CHARLS Data with Machine Learning Analysis Cover

Assessment of Ten Insulin Resistance Surrogate Indexes Predicts New-Onset Cardiovascular Disease Incidence in Patients with Prediabetes or Diabetes: Insights from CHARLS Data with Machine Learning Analysis

Global Heart
Volume 21 (2026): Issue 1
By: Hang Xie,  Chaoying Yan,  Yi Zheng and  Haoyu Wu  
Open Access
|Mar 2026

Authors

Hang Xie

xiehang@xjtu.edu.cn

Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi

Chaoying Yan

cyyan0325@xjtufh.edu.cn

Department of Anesthesiology, The First Affiliated Hospital of Xi’an Jiaotong University, 710061, Xi’an, Shaanxi

Yi Zheng

z_zhengyi@xjtu.edu.cn

Department of Dermatology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an

Haoyu Wu

373136627@qq.com

Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, Shaanxi
DOI: https://doi.org/10.5334/gh.1532 | Journal eISSN: 2211-8179
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Language: English
Submitted on: May 29, 2025
|
Accepted on: Feb 20, 2026
|
Published on: Mar 12, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Insulin resistance,
cardiovascular disease,
Diabetes mellitus,
Machine learning,
Risk prediction

© 2026 Hang Xie, Chaoying Yan, Yi Zheng, Haoyu Wu, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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