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药物流行病学研究中的非死亡时间偏倚及其控制 被引量:4
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作者 赵厚宇 李海龙 詹思延 《药物流行病学杂志》 CAS 2017年第3期207-212,共6页
非死亡时间是指在队列研究的随访期内研究对象不可能发生结局事件的一段时间,由非死亡时间错分或剔除引起的偏倚称为非死亡时间偏倚。在基于数据库的药物流行病学队列研究中,非死亡时间偏倚较为常见,而且可能对结果产生严重影响,以致于... 非死亡时间是指在队列研究的随访期内研究对象不可能发生结局事件的一段时间,由非死亡时间错分或剔除引起的偏倚称为非死亡时间偏倚。在基于数据库的药物流行病学队列研究中,非死亡时间偏倚较为常见,而且可能对结果产生严重影响,以致于得出完全错误的结果和结论。因此在文献阅读和研究设计时,应识别和避免非死亡时间及其引起的偏倚。本文介绍了非死亡时间引起偏倚的原理、偏倚的识别以及避免该偏倚的研究设计和数据分析方法。 展开更多
关键词 非死亡时间 非死亡时间偏倚 队列研究 药物流行病学
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Methodological challenges to control for immortal time bias in addressing drug effects in type 2 diabetes
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作者 Xi-Lin Yang Xiao-Xu Huo Juliana CN Chan 《World Journal of Methodology》 2015年第3期122-126,共5页
There are multiple biases in using observational studies to examine treatment effects such as those from prevalent drug users, immortal time and drug indications. We used renin angiotensin system(RAS) inhibitors and s... There are multiple biases in using observational studies to examine treatment effects such as those from prevalent drug users, immortal time and drug indications. We used renin angiotensin system(RAS) inhibitors and statins as reference drugs with proven efficacies in randomized clinical trials(RCTs) and examined their effectiveness in the prospective Hong Kong Diabetes Registry using adjustment methods proposed in the literature. Using time-dependent exposures to drug treatments yielded greatly inflated hazard ratios(HR) regarding the treatment effects of these drugs for cardiovascular disease(CVD) in type 2 diabetes. These errors were probably due to changing indications to use these drugs during follow up periods, especially at the time of drug commencement making time-dependent analysis extremely problematic. Using time-fixed analysis with exclusion of immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of RAS inhibitors for CVD was comparable to that in RCT. The result supported the use of the Registry for performing pharmacoepidemiological analysis which revealed an attenuated low low-density lipoprotein cholesterol related cancer risk with RAS inhibitors. On the other hand, time-fixed analysis with including immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of statins for CVD was similar to that in the RCT. Our results highlight the complexity and difficulty in removing these biases. We call for validations of the methods to cope with immortal time and drug use indications before applying them to particular research questions, so to avoid making erroneous conclusions. 展开更多
关键词 Pharmacoepidemiological analysis immortal time bias DRUG effects Prevalent DRUG user bias DRUG INDICATION bias Type 2 diabetes
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