Heterogeneous analysis on association between exposure and outcome in cohort studies: based on propensity score matching and subpopulation treatment effect pattern plot
10.3760/cma.j.cn112338-20231121-00303
- VernacularTitle:基于倾向性评分匹配和亚群治疗效果模式图队列研究暴露与结局关联的异质性分析
- Author:
Wei WANG
1
;
Qian YU
;
Xinru HU
;
Xiaoxiao WANG
Author Information
1. 南京中医药大学附属医院(江苏省中医院)GCP中心,南京 210029
- Keywords:
Propensity score matching;
Subpopulation treatment effect pattern plot;
Cohort study;
Exposure;
Association
- From:
Chinese Journal of Epidemiology
2024;45(5):748-754
- CountryChina
- Language:Chinese
-
Abstract:
This paper briefly introduces the basic principle, application scenarios and main steps of subpopulation treatment effect pattern plot (STEPP), and summarizes the theoretical basis of its combined application with propensity score matching (PSM) in cohort study data for the heterogeneity analysis on the association between exposure and outcome risk. In this paper, the combined application of PSM and STEPP in cohort study data is summarized by simulation of "cohort study of the risk of venous thromboembolism (VTE) in cancer patients with different infusion catheter types". The absolute risk value and relative risk value of VTE in the peripherally inserted central catheter group and the central venous catheter group in subpopulations are introduced, as well as the results of heterogeneity analysis among subpopulations. The limitations and research prospects of the combined application of PSM and STEPP are discussed to provide reference for researchers in practical application.