流行率,分析方法和影响多病症因素在中国:一个范围审查
Xinyu Xue1,2, Ningsu Chen1, Kai Zhao1
1Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Journal of evidence-based medicine
|June 23, 2025
概括
本综述绘制了中国的多病态模式,发现心血管-代谢集群最常见. 方法上的不一致凸显了在多病症研究中需要标准化指导方针的需要.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 多病性,即多种慢性疾病的同时发生,对全球卫生保健系统构成了重大挑战.
- 了解普遍的多重疾病模式对于开发有针对性的干预措施和优化资源配置至关重要.
- 关于中国多病症模式的研究一直在增长,需要对现有研究进行全面的概述.
研究的目的:
- 系统地绘制中国常见的多病态模式.
- 要总结用于识别这些模式的各种方法.
- 确定当前研究领域的趋势和差距.
主要方法:
- 进行了全面的范围审查,搜索了六个主要数据库 (PubMed, EMbase, Web of Science, WanFang, VIP, CNKI) 到2024年12月31日.
- 使用定量和定性分析,综合了2015年至2024年间发表的93项研究的研究结果.
- 常见的统计方法包括潜在类分析,关联规则和因子分析.
主要成果:
- 在多重疾病模式中最常见的疾病是关节炎/风湿症和高血压.
- 通常识别的模式包括疾病组合 (例如,高血压与糖尿病) 和集群,心血管代谢集群是最普遍的.
- 隐性类分析是最常用的方法,年龄是最常被研究的影响因素.
结论:
- 自2020年以来,中国对多病态模式的研究急剧增加,特别关注心血管代谢状况和使用潜在类分析.
- 对多病症的不一致的定义和诊断标准阻碍了跨研究发现的可比性和一致性.
- 建议在未来的研究中建立基于共识的指导方针,并采用严格的统计技术,以提高方法质量.
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