Construction and validation of a prediction model for developing type 2 diabetes mellitus in patients with chronic obstructive pulmonary disease
In this study, we developed and internally validated a visualized prediction model for early identification of T2DM risk in patients with COPD. This tool may facilitate targeted prevention strategies by identifying high-risk populations. While the model demonstrated good performance, external validation is still required to confirm its generalizability.
Authors
- Tianye Li (ORCID: https://orcid.org/0000-0002-9422-5782)
- Hao Xu (ORCID: https://orcid.org/0000-0001-5827-1821)
- Xi Kang (ORCID: https://orcid.org/0009-0002-3735-2985)
- Xuhong Chang (ORCID: https://orcid.org/0000-0002-5313-0576)
- Qing Chen (ORCID: https://orcid.org/0000-0002-2474-6697)
- Hongjun Zhao (ORCID: https://orcid.org/0000-0002-5936-9713)
- Yanqiu Jiang
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Quzhou City People's Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-08-15
- DOI
- https://doi.org/10.3389/fendo.2025.1560631
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00