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品牌药与仿制药:解决不依从性、长期趋势及非重叠问题

Brand generic: addressing non-adherence, secular trends and non-overlap.

作者信息

Hunt Lamar, Murimi Irene B, Segal Jodi B, Seamans Marissa J, Scharfstein Daniel O, Varadhan Ravi

机构信息

Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA.

Massachusetts College of Pharmacy and Health Sciences, Boston, USA.

出版信息

J R Stat Soc Ser A Stat Soc. 2020 Oct;183(4):1461-1478. doi: 10.1111/rssa.12573. Epub 2020 May 20.

Abstract

Whereas generic drugs offer a cost-effective alternative to brand name drugs, regulators need a method to assess therapeutic equivalence in a post-market setting. We develop such a method in the context of assessing the therapeutic equivalence of immediate release venlafaxine, based on a large insurance claims data set provided by OptumLabs. To address this question properly, our methodology must deal with issues of non-adherence, secular trends in health outcomes and lack of treatment overlap due to sharp uptake of the generic drug once it becomes available. We define, identify (under assumptions) and estimate (using G-computation) a causal effect for a time-to-event outcome by extending regression discontinuity to survival curves. We do not find evidence for a lack of therapeutic equivalence of brand and generic immediate release venlafaxine.

摘要

虽然仿制药为品牌药提供了一种具有成本效益的替代方案,但监管机构需要一种方法来评估上市后环境中的治疗等效性。我们基于OptumLabs提供的大型保险理赔数据集,在评估速释文拉法辛的治疗等效性的背景下开发了这样一种方法。为了恰当地解决这个问题,我们的方法必须处理不依从性、健康结果的长期趋势以及仿制药一旦上市后由于其迅速被采用而导致的治疗重叠不足等问题。我们通过将回归间断扩展到生存曲线,定义、识别(在假设下)并估计(使用G计算)一个事件发生时间结局的因果效应。我们没有发现品牌和仿制药速释文拉法辛缺乏治疗等效性的证据。

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