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利用多国观察性研究进行上市后安全性评估:挑战与策略

Leveraging Multi-National Observational Study in Post-Marketing Safety Assessment: Challenges and Strategies.

作者信息

Lin Li-An, Hammad Tarek A, Liu Wei, Ma Yong, Whalen Ed, Sinvhal Ranjeeta, Munsaka Melvin, Wang William

机构信息

Safety Statistics, Moderna Inc, Cambridge, MA, USA.

Medical Safety, Takeda Development Center Americas, Inc, Cambridge, MA, USA.

出版信息

Ther Innov Regul Sci. 2025 Aug 5. doi: 10.1007/s43441-025-00836-5.

Abstract

The use of multi-national observational study in post-marketing safety assessment has been rising in recent years in parallel with the rapid development and adoption of electronic healthcare data (e.g., administrative claims, electronic health records) and novel statistical analysis methods to handle these data. Secondary use of routinely collected electronic health information has long been available to conduct pharmacoepidemiologic studies using data from millions of patients. Certain observational studies or surveillance activities, especially those investigating rare exposure or outcome or those designed to study specific patient subgroups (e.g., elderly, pediatric) or newly approved medical products, necessitate a multi-national approach. Other instances utilizing such study design include but not limited to (1) postmarketing study requested by multiple regulatory authorities; (2) multiple data systems chosen to complement each other (e.g., databases with long-term clinical outcome data combined with another that includes lab and radiology findings to allow case adjudication and/or algorithm validation); (3) multiple data sources needed to verify and replicate study findings. In this article, we share examples of multi-national postmarketing studies and discuss key pitfalls related to the design and analysis of such studies as well as strategies to mitigate biases.

摘要

近年来,随着电子医疗数据(如行政索赔、电子健康记录)的快速发展和采用以及用于处理这些数据的新型统计分析方法的出现,多国观察性研究在上市后安全性评估中的应用不断增加。长期以来,常规收集的电子健康信息的二次使用可用于利用数百万患者的数据进行药物流行病学研究。某些观察性研究或监测活动,特别是那些调查罕见暴露或结果的研究,或那些旨在研究特定患者亚组(如老年人、儿童)或新批准的医疗产品的研究,需要采用多国方法。利用这种研究设计的其他情况包括但不限于:(1)多个监管机构要求的上市后研究;(2)选择相互补充的多个数据系统(例如,具有长期临床结果数据的数据库与另一个包含实验室和放射学结果的数据库相结合,以进行病例判定和/或算法验证);(3)验证和重复研究结果所需的多个数据源。在本文中我们分享多国上市后研究的实例,并讨论与此类研究的设计和分析相关的主要陷阱以及减轻偏差的策略。

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