Research progress on risk prediction models for the diabetic foot
This study revealed that diabetic foot risk prediction models have significant effects on accurately identifying risk factors and guiding early interventions, serving as effective tools to reduce the incidence of diabetic foot. Through early identification and intervention, the prognosis and quality of life of patients can be significantly improved, providing important references and guidance for the field of public health.
Authors
- Lijie Hou
- Tao Zhang (ORCID: https://orcid.org/0000-0002-9561-3242)
- Qi Li (ORCID: https://orcid.org/0009-0007-5043-210X)
- Ruiping Huang
- Lihua Ma
- H. R. Qi (ORCID: https://orcid.org/0009-0002-1437-0128)
Institutions
- Lanzhou University of Technology (CN)
- The 309th Hospital of Chinese People's Liberation Army (CN)
- Chinese People’s Liberation Army 263 hospital (CN)
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Acta Diabetologica
- Published
- 2025-04-19
- DOI
- https://doi.org/10.1007/s00592-025-02505-3
- Citations
- 2
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.59
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- Lanzhou Science and Technology Bureau