Analysis methods and case analysis of effect modification (3): effect modification in individual patient data Meta-analysis
10.3760/cma.j.cn112338-20230824-00095
- VernacularTitle:效应修饰作用分析方法与案例解析系列（三）：个体数据Meta分析中的效应修饰
- Author:
Fengqi LIU
1
;
Zhirong YANG
;
Shanshan WU
;
Houyu ZHAO
;
Siyan ZHAN
;
Feng SUN
Author Information
1. 北京大学公共卫生学院流行病与卫生统计学系，北京 100191
- Keywords:
Effect modification;
Individual patient data;
Multi-level network Meta- regression
- From:
Chinese Journal of Epidemiology
2024;45(3):447-454
- CountryChina
- Language:Chinese
-
Abstract:
This paper briefly introduces the unique advantages, overall analysis ideas and existing analysis methods of individual patient data Meta-analysis in terms of effect modification. In addition to Meta-regression and subgroup analysis, this paper also introduces the analysis methods based on part of individual patient data integrated with aggregated data and summarizes the current reporting of the above mentioned methods. In addition, the application and results interpretation of the above mentioned methods in individual patient data Meta-analysis are presented in this paper by taking "Effects of sodium-glucose cotransporter 2 inhibitors on SBP in patients with type 2 diabetes" as an example and by introducing their advantages and limitations.
