递归累积Meta分析简介  

A Brief Introduction of Recursive Cumulative Meta-analysis

作　　者：曾子[1] 田旭[1] 帅婷[1] 易丽娟[1] 王燕[2] 宋国敏[3] 

机构地区：[1]天津中医药大学研究生院,天津300193 [2]天津中医药大学护理学院,天津300193 [3]天津市天津医院护理部,天津300211

出　　处：《中国循证医学杂志》2015年第12期1475-1478,共4页Chinese Journal of Evidence-based Medicine

摘　　要：Meta分析包括已发表文献的Meta分析(meta-analysis of the published literature,MPL)和单个病例资料的Meta分析(meta-analysis of individual patient data,MIPD)。递归累积Meta分析是一种可对已有资料重新整理并及时更新,还能对现有试验的延续随访进行分析的Meta分析方法,递归累积Meta分析在每纳入一项新研究或纳入更新的研究时,可以检测每一合并步骤中效应量的波动,从而判断纳入研究间是否存在偏倚或异质性,并判断合并结果的稳定性。本文主要介绍了递归累积Meta分析的概念并结合具体实例来讲解如何实现。Meta-analyses include meta-analysis of the published literature （MPL） and meta-analysis of individual patient data （MIPD）. Recursive cumulative meta-analysis is a method used to reorganize the secondary analysis data based on original studies thus to ensure a timely update, in addition, it can also be used to analyze the data from longer follow- up of existing trials. By using this method, with the each newly included or updated study, the change of pooled effect size in each pooled step can be detected, therefore, the bias/heterogeneity and stability of pooled results can be evaluated. In this article, we briefly introduced the concept of recursive cumulative meta-analysis and an example was used to illustrate this method.

关 键 词：递归累积Meta分析 基于单个病例资料的Meta分析 基于发表文献的Meta分析 方法学 

分 类 号：R-03[医药卫生]