摘要
诊断试验Meta分析需要获取纳入诊断性试验的真阳性、假阳性、假阴性、真阴性的受试者例数。当原始文献无法直接获得这些指标,又无法取得原始数据时,可对数据进行深度提取。本文介绍3种对诊断试验的数据进行深度提取的方法,并通过实例分析展示操作过程。
Receiving the amount of true positives, false positives, false negatives and true negatives is necessary when conducting meta-analysis of diagnostic tests. Advanced methods of data extraction are required if these data could not be directly obtained from a literature. We introduced three methods and discussed the theories. An example was then given to illustrate how to apply the methods.
作者
刘海宁
吴昊
张宁萍
李煜
曾于珍
沈锡中
刘韬韬
LIU Haining;WU Hao;ZHANG Ningping;LI Yu;ZENG Yuzhen;SHEN Xizhong;LIU Taotao(Department of Gastroenterology,Zhongshan Hospital,Fudan University,Shanghai,200032,P.R.China;Department of Gastroenterology,Huashan Hospital,Fudan University,Shanghai,200032,P.R.China)
出处
《中国循证医学杂志》
CSCD
北大核心
2018年第9期995-1000,共6页
Chinese Journal of Evidence-based Medicine
关键词
META分析
诊断准确性试验
循证医学
数据提取
Meta-analysis
Diagnostic accuracy study
Evidence-based medicine
Data extraction
