在更新和实时系统性审查中进行双向和网络元分析:一个范围审查协议
Menelaos Konstantinidis1,2, Catherine Stratton1,3, Sofia Tsokani4
1Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.
JBI evidence synthesis
|January 23, 2025
概括
本范围审查确定了在更新系统性审查 (USR) 和生活系统性审查 (LSR) 中进行元分析的指导. 它解决了保持审查的挑战,并通过重复的元分析改进决策.
科学领域:
- 证据综合 证据综合
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 医学文献的指数增长需要方法来保持系统性审查的最新.
- 生活系统审查 (LSRs) 为持续更新提供了一个框架,但对重复元分析的最佳方法仍然不清楚.
- 重复的元分析方法的不确定性可能导致不理想的临床决策.
研究的目的:
- 描述现有的指导和关于在更新系统性审查 (USRs) 和活系统性审查 (LSRs) 中进行元分析的研究.
- 在动态审查环境中确定管理和分析累积数据的最佳实践.
主要方法:
- 使用JBI方法的范围审查.
- 在医学,统计和预印数据库以及灰色文献中进行全面的搜索.
- 两个审查员进行独立选和数据提取,随后进行描述性统计分析和对建议进行分类.
主要成果:
- 指导文件和研究的描述,这些指导文件和研究涉及USR和LSR的元分析.
- 在不断变化的证据环境中进行重复元分析的综合建议.
- 确定常见主题和方法指南的变化.
结论:
- 本综述综合了当前对元分析的指导方针,以更新和活跃的系统综述.
- 调查结果旨在为方法的发展提供信息,并根据不断更新的证据提高决策的可靠性.
- 强调需要在动态系统审查格式中对重复的元分析采用标准化的方法.
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