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中国2型糖尿病预测模型:五年系统审查
Juncheng Duan1, Norshita Mat Nayan1
1Institute of IR4.0, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.
Healthcare (Basel, Switzerland)
|August 28, 2025
概括
现有的2型糖尿病 (T2D) 风险预测模型显示出良好的预测能力,但缺乏可靠的验证和全面的变量纳入. 未来的模型需要更好的验证和更广泛的因素来改善临床应用.
科学领域:
- 公共卫生
- 流行病学
- 生物统计学
背景情况:
- 中国面临2型糖尿病及其并发症的重大负担.
- 准确的T2D风险预测模型对于高风险人群的早期干预至关重要.
- 目前的中国T2D风险模型存在方法和临床应用的局限性.
研究的目的:
- 系统地审查和综合中国现有的T2D风险预测模型.
- 确定当前模型在方法和临床实用性方面的缺陷.
- 为中国开发更高质量的T2D风险预测模型提供建议.
主要方法:
- 根据PRISMA指南进行系统文献审查 (2019年10月至2024年10月).
- 在非糖尿病中国人群中搜索了PubMed,CNKI和Web of Science的T2D风险预测模型.
- 根据模型类型,变量选择,验证和性能分析了20项选定的研究.
主要成果:
- 20项研究使用了各种统计和机器学习方法,AUC在0. 728到0. 977之间.
- 有限的外部验证 (1项研究) 和可变的分类 (45%) 可能会阻碍模型的通用化.
- 主要变量如生活方式,社会经济因素和文化背景在很大程度上被遗漏,影响了代表性.
结论:
- 中国的T2D风险预测模型还处于早期发展阶段,缺乏充分的验证和不完整的因素覆盖.
- 未来的研究必须优先考虑多中心外部验证和标准化建模过程.
- 纳入多维社会和行为变量是提高临床效用和适用性的关键.
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