Abstract
刘凤琪,杨智荣,武珊珊,赵厚宇,詹思延,孙凤.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[J].Chinese journal of Epidemiology,2024,45(3):447-454
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
Analysis methods and case analysis of effect modification (3): effect modification in individual patient data Meta-analysis
Received:August 24, 2023  
DOI:10.3760/cma.j.cn112338-20230824-00095
KeyWord: 效应修饰作用  个体数据  多水平网状Meta回归
English Key Word: Effect modification  Individual patient data  Multi-level network Meta- regression
FundProject:国家自然科学基金(72074011)
Author NameAffiliationE-mail
Liu Fengqi Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China 
 
Yang Zhirong School of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China  
Wu Shanshan National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China  
Zhao Houyu Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China 
 
Zhan Siyan Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China 
 
Sun Feng Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Key Laboratory of Epidemiology of Major Diseases(Peking University), Ministry of Education, Beijing 100191, China 
sunfeng@bjmu.edu.cn 
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Abstract:
      简要介绍个体数据Meta分析在效应修饰作用方面的独特优势、整体分析思路及现有分析方法,除了常见的Meta回归和亚组分析外,还介绍了利用部分个体数据合并集合水平数据的分析方法,并总结以上方法的报告现状。以“钠-葡萄糖协同转运蛋白2抑制剂对2型糖尿病患者SBP的影响”作为案例,分别展示上述方法在个体数据Meta分析中的实际应用及结果解读,总结各方法的优势和局限性。
English 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.
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