Early Prediction Model for Osteoporotic Fracture in Type 2 Diabetes Patients: A Nomogram Approach Based on a Single-Center Retrospective Study
This study integrated key factors such as gender, age, BMI, lactic acid, lumbar spine, and femoral neck T-values to construct a Nomogram for predicting the risk of OPF in T2DM patients. This model can assist doctors in accurately assessing the risk of OPF in T2DM patients, facilitating early detection and timely treatment. It has significant clinical practical value.
Authors
- Pengfeï Liu (ORCID: https://orcid.org/0000-0002-8780-7995)
- Xiu Mei
- Peng Wang (ORCID: https://orcid.org/0009-0005-2051-5460)
- Yan Ren (ORCID: https://orcid.org/0000-0002-5465-980X)
- Kang Geng (ORCID: https://orcid.org/0009-0008-7696-542X)
Institutions
- University of Electronic Science and Technology of China (CN)
- China Aerospace Science and Industry Corporation (China) (CN)
- Affiliated Hospital of Southwest Medical University (CN)
- First Affiliated Hospital of Sichuan Medical University (CN)
- Fourth People's Hospital of Sichuan Province (CN)
- First Affiliated Hospital of Chengdu Medical College (CN)
Publication Details
- Journal
- Diabetes Metabolic Syndrome and Obesity
- Published
- 2025-09-01
- DOI
- https://doi.org/10.2147/dmso.s475409
- Citations
- 1
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Department of Science and Technology of Sichuan Province
- Southwest Medical University