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中国草药网络元分析的方法质量可以得到改善:一个证据映射
Naunyn-Schmiedeberg's archives of pharmacology
|January 28, 2026
概括
中国草药网络元分析的方法质量主要较低. 提高团队规模和遵守标准对于可靠的证据合成至关重要.
科学领域:
- 药理学和毒理学 药理学和毒理学
- 基于证据的医学 基于证据的医学
- 系统性审查和元分析
背景情况:
- 网络元分析 (NMA) 对于比较中国草药 (CHM) 干预至关重要.
- 评估CHM NMA的方法严谨性对于可靠的证据综合是必不可少的.
研究的目的:
- 系统地评估公布的CHM NMAs的方法质量.
- 确定与CHM NMAs质量相关的因素.
主要方法:
- 在五个数据库中系统搜索英语,SCI/SSCI指数的CHM NMA.
- 数据提取和使用AMSTAR 2进行质量评估,由两位独立审查员进行.
- 后勤回归分析,以检查与方法质量相关的因素.
主要成果:
- 包括212个CHM NMA,主要是方法质量低的 (1.42%高,5.19%中度,61.32%低,32.08%临界低).
- 常见的缺陷包括文献搜索的全面性,资金来源的报告以及偏见风险评估.
- 较高的作者数量和非中国对应的作者国家与更高的质量有关,尽管后者需要谨慎的解释.
结论:
- 发表的CHM NMA的方法质量通常很低.
- 建议加强研究团队规模和协作.
- 严格遵守方法标准对于提高未来CHM证据综合的可靠性至关重要.
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