Qi Haixia, Zhang Tao, Hou Lijie, Li Qi, Huang Ruiping, Ma Lihua
School of Nursing, Lanzhou University, Lanzhou, 730011, China.
The 940th Hospital of Chinese People's Liberation Army, Lanzhou, 730050, China.
Acta Diabetol. 2025 Apr 19. doi: 10.1007/s00592-025-02505-3.
This study aimed to comprehensively review the latest advancements in diabetic foot risk prediction models over the past four years to address the severe challenges posed by diabetic foot ulcers, which are among the leading causes of disability and mortality among diabetic patients. Diabetic foot ulcers are characterized by their complex aetiology, pose a grave threat to life and impose enormous social and economic burdens, thus becoming a critical issue in public health that urgently requires attention. By accurately predicting the risk of diabetic foot and implementing early intervention strategies, this study aimed to reduce its incidence and mortality rates.
This study employed a systematic review and comprehensive analysis framework, conducted extensive searches of electronic databases (including PubMed, EMBASE, the Cochrane Library, CNKI, etc.) and supplemented these searches with manual literature collection to ensure comprehensive information coverage. During the literature screening and evaluation phase, strict adherence to the predetermined inclusion and exclusion criteria was maintained to guarantee the high quality of the included studies. Further detailed quality assessments, data extraction, and analysis of the selected literature were conducted, with a focus on exploring the construction strategies of risk prediction models, the selection of key variables, the evaluation indicators of model performance, and the validation methods.
By comparing and analysing the differences among studies in terms of methodology, model effectiveness, and practical application potential, this study summarized the development trends of diabetic foot risk prediction models and anticipated future research directions. These findings indicate that with the assistance of advanced diabetic foot risk prediction models, potential risk factors can be identified and addressed early on, thereby effectively reducing the incidence of diabetic foot and significantly improving patients' quality of life.
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.
本研究旨在全面回顾过去四年糖尿病足风险预测模型的最新进展，以应对糖尿病足溃疡带来的严峻挑战，糖尿病足溃疡是糖尿病患者致残和死亡的主要原因之一。糖尿病足溃疡病因复杂，对生命构成严重威胁，带来巨大的社会和经济负担，因此成为公共卫生领域亟待关注的关键问题。通过准确预测糖尿病足风险并实施早期干预策略，本研究旨在降低其发病率和死亡率。
本研究采用系统评价和综合分析框架，对电子数据库（包括PubMed、EMBASE、Cochrane图书馆、中国知网等）进行广泛检索，并通过手工文献收集加以补充，以确保信息覆盖全面。在文献筛选和评估阶段，严格遵循预定的纳入和排除标准，以保证纳入研究的高质量。对选定文献进行了进一步详细的质量评估、数据提取和分析，重点探讨风险预测模型的构建策略、关键变量的选择、模型性能的评估指标以及验证方法。
通过比较和分析各研究在方法学、模型有效性和实际应用潜力方面的差异，本研究总结了糖尿病足风险预测模型的发展趋势，并展望了未来的研究方向。这些结果表明，借助先进的糖尿病足风险预测模型，可以早期识别并处理潜在风险因素，从而有效降低糖尿病足的发病率，并显著提高患者的生活质量。
本研究表明，糖尿病足风险预测模型对准确识别风险因素和指导早期干预具有显著效果，是降低糖尿病足发病率的有效工具。通过早期识别和干预，可以显著改善患者的预后和生活质量，为公共卫生领域提供重要参考和指导。
