Application of the self-controlled case series design in pharmacoepidemiological studies: A cautionary note

European Journal of Epidemiology(2015)

引用 7|浏览10
暂无评分
摘要
Background: The self-controlled case-series (SCCS) design has been applied to control for time-fixed (un)measured confounding in pharmacoepidemiological studies. Although previous studies acknowledged that violations of the key SCCS assumptions lead to biased exposure effects, little is known about the impact of the violations in empirical studies. We aimed to evaluate the impact of various levels of violation of assumptions of the SCCS design and different definitions of observation/risk periods in a study of antidepressants use and risk of hip/femur fracture (HF). Methods: Information on adults with a hip/femur fracture (HF) who used antidepressants at any time during the observation period 2001-2009 was extracted from the UK THIN (6632 cases) and the Dutch Mondriaan (136 cases) databases. The incidence rate ratio (IRR) using this design was defined as the rate of events during exposed periods and during all other observed periods. The IRR of HF was estimated using conditional Poisson regression. Results: The IRRs appeared extremely biased when all subjects were censored at their first/last HF or when the analysis was restricted to subjects experiencing hip fracture after initiating antidepressant use. For example in THIN, IRRs for >365 days of exposure were 1.26 [1.13-1.42] when complete follow-up was considered and 40.1 [32.2-49.9] when censoring was at the first event. However, results were consistent when including subjects who were exposed at the start of follow-up and for different risk period definitions. Conclusion: The SCCS design is sensitive to violations of the assumptions and yields apparently biased estimates when a significant number of subjects is censored at the event or when the analysis is restricted subjects who experienced hip fracture after initiating antidepressants. The performance of this design may differ across studies and across databases. Therefore, in each SCCS study, correct specification of the SCCS design should be carefully assessed and reported.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要