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灰色文献的包含是否会影响在元分析中报告的干预有效性的估计?
1Thomas C Chalmers Center for Systematic Reviews, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.
从元分析中排除灰色文献可以膨胀干预的有效性估计. 包括所有可用的证据,包括已发表的和灰色文献,对于准确的系统审查和元分析至关重要.
科学领域:
- 医学研究方法论医学研究方法论.
- 基于证据的医学是基于证据的医学.
- 生物统计学 生物统计学
背景情况:
- 如果不包括现有证据,特别是灰色文献,那么元分析可能会有偏见.
- 灰色文献或未发表的研究可能会从已发表的研究系统上有所不同.
- 本研究研究了包括或排除灰色文献对元分析结果的影响.
研究的目的:
- 确定从元分析中排除灰色文献是否会导致与包括它相比不同的有效性估计.
- 通过省略未发表的研究来量化潜在的偏见.
主要方法:
- 选了135个元分析的随机样本.
- 33个包含已出版和灰色文献的元分析被选中进行详细分析.
- 使用后勤回归来探索灰色文献包含在定量结果上的影响.
主要成果:
- 33%的元分析包含一些灰色文献.
- 在元分析中,灰色文献占研究的4.5%至75%.
- 除了灰色文献,干预效应估计过高了15% (OR=1.15),当摘要被排除在外时,进一步增加到33% (OR=1.33).
结论:
- 从元分析中排除灰色文献可能会导致对干预有效性的夸大估计.
- 分析师应努力包括所有相关证据,包括已发表的证据和灰色文献.
- 全面的证据检索对于有效可靠的元分析结果至关重要.
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