Christine Ibilibor, Shannon Armbruster, Rell Parker, Jia-Ray Yu, Andrew Barros
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引用次数: 0
Abstract
The generalizability of data derived from randomized controlled trials is of paramount importance given their utility in the Food & Drug Administration (FDA) drug approval process. An essential part of this process is the inclusion of reliably reported gender, race and ethnicity data in trials that lead to FDA drug approval. Despite previous mandates by the FDA and Clinicaltrials.gov, gender and race-specific data remains under reported. We reviewed 100 most recently approved FDA medications, and abstracted the clinical trial data from Clinicaltrials.gov that supported their approval. We then compared these FDA approved trials to non-FDA approved trials from the same year and of similar size. We found that 40% of the FDA trials were missing race/ethnicity information, while 24% of these trials did not include gender information. We demonstrate that there remains a significant amount of missing gender and racial/ethnic data in trials that lead to FDA-approved medications.
鉴于随机对照试验数据在食品药品管理局(FDA)药品审批过程中的作用,因此这些数据的通用性至关重要。这一过程中的一个重要环节是在导致 FDA 批准药物的试验中纳入可靠报告的性别、种族和民族数据。尽管 FDA 和 Clinicaltrials.gov 此前已做出规定,但性别和种族特定数据的报告仍然不足。我们回顾了 FDA 最近批准的 100 种药物,并从 Clinicaltrials.gov 中摘录了支持这些药物获得批准的临床试验数据。然后,我们将这些 FDA 批准的试验与同年且规模相似的非 FDA 批准的试验进行了比较。我们发现,40% 的 FDA 试验缺少种族/族裔信息,而其中 24% 的试验未包含性别信息。我们证明,在导致 FDA 批准药物的试验中,仍有大量性别和种族/民族数据缺失。