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Zitong Zhou¹, Yu Jia¹, Hong Yan¹

¹School of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610075, China.

|May 10, 2025

概括

这次审查发现,虽然糖尿病足复发预测模型表现不错,但所有包括的研究都有高偏差风险. 未来的研究需要更大的样本和严格的设计,以获得更好的预测准确性.

科学领域:

医学研究医学研究
临床预测模型的临床预测模型.
糖尿病学糖尿病学

背景情况:

糖尿病足 (DFU) 是糖尿病的一个重要并发症,导致高复发率.
有效的风险预测模型对于管理DFU复发和改善患者结果至关重要.

研究的目的:

系统地审查现有关于糖尿病足复发风险预测模型的研究.
评估这些模型的开发,性能和偏差风险.

主要方法:

在多个数据库中进行了系统的文献搜索,截至2023年11月5日.
包括八项研究,开发了DFU复发的预测模型.
预测模型偏差风险评估工具 (PROBAST) 用于质量评估.

主要成果:

确定了八种风险预测模型,使用后勤回归,COX回归和机器学习.
复发率在20%至41%之间,HbA1c和糖尿病持续时间是常见的预测因素.
报告的曲线下面面积 (AUC) 值从0.690到0.937不等,但所有研究都显示出高偏差风险.

结论:

现有的DFU复发预测模型显示了可接受的性能,但存在显著的方法限制.
所有审查的研究都被评估为具有高偏差风险,影响其发现的可靠性.
未来的研究应该优先开发具有更大,多中心数据集和严格验证的强大模型.

关键词:

糖尿病足部糖尿病足部复发情况复发情况风险预测模型的风险预测模型.系统性审查系统性审查

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