重新考虑怀孕和婴儿期的药物安全:目标试验模拟和现实世界数据如何弥合证据差距
Yanhong Jessika Hu1, Joanne M Said2, Jeanie L Y Cheong3
1Murdoch Children's Research Institute, The Royal Children's Hospital, Parkville, Victoria, Australia; Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.
Journal of clinical epidemiology
|March 2, 2025
概括
使用真实世界数据的目标试验模拟为在随机对照试验不可行时,在孕妇和婴儿中进行药物安全研究提供了一个解决方案. 这种方法有助于填补关键的证据缺口,促进母亲和婴儿更安全的药物使用.
科学领域:
- 药物监督 药物监督 药物监督
- 现实世界的证据研究研究.
- 临床试验方法论 临床试验方法论
背景情况:
- 随机对照试验 (RCT) 经常排除孕妇和婴儿,造成药物安全知识的重大差距.
- 这种排除使临床决策在怀孕和幼儿时期使用药物的过程中变得复杂.
研究的目的:
- 探索使用现实世界的数据来模拟目标试验,作为可行的药物安全研究替代方案,当RCT不可行时.
- 解决关于孕妇和婴儿药物安全性的关键证据缺口.
主要方法:
- 目标试验模拟在观察性,现实世界的数据中复制RCT设计原则.
- 这种方法考虑了整个怀孕期间的动态药物暴露,并调整了随时间变化的混因素.
- 挑战包括未测量的混,选择偏见和积极性假设违反.
主要成果:
- 提供关键的见解,以填补现有的证据差距在敏感人群的药物安全性.
- 未来的研究方向包括整合人工智能,开放科学和强大的数据治理.
- 跨国合作和数据共享是加速证据生成的关键.
结论:
- 用现实数据模拟向试验是RCT无法实现的药物安全研究的一个有希望的方法.
- 这种方法可以为更安全的药物指导方针提供信息,并改善母亲和婴儿的健康结果.
- 技术的进步和协作努力将提高这种研究方法的可靠性和影响.
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