一个系统的审查和疾病集群的元分析在多病症
Jennifer K Ferris1,2, Lean K Fiedeldey3, Boah Kim4
1Gerontology Research Centre, Simon Fraser University, Vancouver, BC, Canada. jennifer_ferris@sfu.ca.
Nature communications
|December 26, 2025
概括
本研究回顾了多病症研究中的疾病聚类方法. 它发现了中等稳定的集群,主要涉及心脏代谢条件,但强调需要提高研究的一致性.
科学领域:
- 多发病性疾病研究.
- 计算生物学是一种计算生物学.
- 流行病学 流行病学
背景情况:
- 多病性,即多种慢性疾病的同时发生,给医疗保健带来了重大挑战.
- 了解疾病并发模式或疾病集群对于有效的管理和干预至关重要.
- 目前关于疾病聚类方法的研究多样化,需要进行系统性审查和元分析.
研究的目的:
- 系统地审查用于多病症研究的聚类方法.
- 在已发表的研究中对疾病集群稳定性进行元分析.
- 确定一致的疾病集群,并为未来的研究提供建议.
主要方法:
- 在Medline和EMBASE数据库的系统文献搜索 (开始至2024年6月5日).
- 包括79篇文章,重点关注多病症中的疾病集群,包括网络方法.
- 来自73项研究的1226个疾病集群的元分析,使用雅卡德指数评估集群稳定性.
主要成果:
- 阶层集群分析 (25%),隐性类分析 (20%) 和K中心集群 (15%) 是常见的方法;网络方法被用于19%.
- 30%的研究显示存在偏见的高风险.
- 确定了六个具有中等稳定性 (雅卡德指数≥0.51) 的元分析性疾病集群,主要包括心脏代谢疾病. 在神经,自身免疫,肌肉骨和心血管疾病之间注意到了强烈的关联.
结论:
- 多发病性疾病集群研究的特点是疾病定义,纳入标准和方法的异质性.
- 尽管异质,但出现了中等一致的疾病集群,特别是那些涉及心脏代谢疾病的疾病.
- 提供了建议,以提高未来多病性聚类研究的性能和报告标准.
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