使用AMSTAR 2对睡眠障碍治疗的元分析的方法质量评估
Leonard Ho1, Yan Ling Kwok1, Xi Chen1
1Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong.
Brain and behavior
|November 17, 2024
概括
大多数关于睡眠障碍治疗的元分析质量极低,缺乏关键元素,如排除研究列表和全面搜索. 改善证据综合需要解决这些方法上的缺陷,并加强对研究人员的培训.
科学领域:
- 医学研究 医学研究
- 证据综合 证据综合
- 睡眠医学 睡眠医学
背景情况:
- 超分析 (MA) 对于合成关于临床和政策决策治疗效果的证据至关重要.
- 经验评估的可靠性取决于其方法质量,而方法质量可能会有很大差异.
- 之前的评估表明系统审查和元分析的质量存在潜在的局限性.
研究的目的:
- 评估最近的分析的方法质量,重点关注睡眠障碍治疗.
- 确定该治疗领域的元分析中常见的方法缺陷.
- 探索睡眠障碍元分析中与更高的方法质量相关的因素.
主要方法:
- 在MEDLINE,EMBASE和PsycINFO系统搜索2018年至2023年期间发表的关于睡眠障碍治疗的随机对照试验 (RCT) 的元分析 (MA).
- 使用测量工具评估系统性审查2 (AMSTAR 2) 检查清单对方法质量的评估.
- 使用克鲁斯卡尔-瓦利斯测试和斯皮尔曼等级相关系数进行统计分析,以探索文献特征和质量评级之间的关联.
主要成果:
- 在104个市场监管机构中,绝大多数 (78.9%) 的质量极低,18.3%的质量低,只有2.9%的质量高.
- 常见的关键缺陷包括未列出排除的研究 (93.3%),不充分的文献搜索策略 (72.1%),缺乏注册的协议 (53.9%).
- 科克莱恩评论,与欧洲对应作者合作的MAs以及获得欧洲资助的MAs显示出明显更好的方法质量.
结论:
- 最近对睡眠障碍治疗方法的元分析的方法质量在很大程度上是不满意的.
- 解决研究选择报告和全面的搜索策略等关键问题对于未来的审查至关重要.
- 建议研究人员和临床医生增加对证据综合和批判性评估培训的投资,以提高系统性审查的可靠性.
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