在老年人中轻度认知障碍的预测模型:系统审查和元分析
Ling Zhang1, Jiaqi Tian1, Xiaojun Liu1
1School of Nursing and Rehabilitation, Shandong University, China.
概括
老年人轻度认知障碍 (MCI) 的风险预测模型仍在开发中. 未来的研究需要更大的样本和更严格的设计,以更准确地预测MCI.
科学领域:
- 老年学是指老年学的学科.
- 神经学 神经学
- 生物统计学 生物统计学
背景情况:
- 轻度认知障碍 (MCI) 在老年人群中构成了重大挑战.
- 准确的风险预测模型对于MCI的早期干预和管理至关重要.
研究的目的:
- 系统地审查和元分析现有的MCI老年人风险预测模型.
- 评估当前MCI预测模型的质量和性能.
主要方法:
- 观察性研究的系统审查和元分析.
- 搜索了9个数据库,截至2025年3月20日.
- 使用PROBAST检查清单评估偏差风险.
- 使用元分析的聚合歧视措施 (AUC).
主要成果:
- 包括24项研究与72个预测模型;样本大小各不相同 (119-6434).
- 年龄和教育水平是常见的预测因素;报告的AUC范围从0.35到0.97.
- 所有研究都表现出高偏差风险;经过验证的模型的AUC是0.83 (95%CI:0.76,0.91).
结论:
- 目前在老年人中预测MCI风险的模型是新生的.
- 未来的研究应该优先考虑更大的样本大小,强大的研究设计和多中心外部验证.
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