麻醉学网络元分析的方法和报告质量评估:系统性审查和元流行病学研究
Herman Sehmbi1,2, Susanne Retter3,4, Ushma J Shah1
1Department of Anesthesia & Perioperative Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
概括
大多数麻醉学网络元分析 (NMA) 存在关键的方法和报告缺陷. 需要改进NMA评估工具,以提高这些重要研究的科学严谨性.
科学领域:
- 麻醉学 麻醉学
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 网络元分析 (NMA) 在麻醉学中越来越多地用于合成证据.
- 麻醉学NMA的科学严谨性需要彻底评估.
- 评估方法和报告质量对于可靠的NMA解释至关重要.
研究的目的:
- 系统地审查和超流行病学评估麻醉学NMA的方法和报告质量.
- 发现麻醉学中NMA的行为和报告中的缺陷.
- 为改善未来国家管理局质量提供建议.
主要方法:
- 在四个数据库 (MEDLINE,PubMed,Embase,Cochrane) 中对麻醉学NMA进行了全面的搜索.
- 评估了对评估系统审查的测量工具 (AMSTAR-2) 和系统审查和元分析的首选报告项目 (PRISMA-NMA) 准则的遵守情况.
- 方法和报告质量得分被量化测量和分析.
主要成果:
- 84%的NMA使用AMSTAR-2被评为"临界低".
- 中位数的AMSTAR-2和PRISMA分数分别为55%和70%.
- 较高的分数与发表在具有影响力的期刊和遵守PRISMA-NMA指南相关;来自中国的NMA的分数较低. 随着时间的推移,没有观察到任何改善.
结论:
- 麻醉学NMA表现出严重的方法和报告缺陷.
- 目前的评估工具,如AMSTAR-2,对于国家管理机构来说是不够的.
- 迫切需要为NMA的行为和质量评估开发专门的工具.
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