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扩大适应症及儿科药物研发的监管创新

Regulatory innovation for expansion of indications and pediatric drug development.

作者信息

Park Min Soo

机构信息

Department of Clinical Pharmacology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Korea.

Department of Pediatrics, Yonsei University College of Medicine, Seoul 03722, Korea.

出版信息

Transl Clin Pharmacol. 2018 Dec;26(4):155-159. doi: 10.12793/tcp.2018.26.4.155. Epub 2018 Dec 19.

Abstract

For regulatory approval of a new drug, the most preferred and reliable source of evidence would be randomized controlled trials (RCT). However, a great number of drugs, being developed as well as already marketed and being used, usually lack proper indications for children. It is imperative to develop properly evaluated drugs for children. And expanding the use of already approved drugs for other indications will benefit patients and the society. Nevertheless, to get an approval for expansion of indications, most often with off-label experiences, for drugs that have been approved or for the development of pediatric indications, either during or after completing the main drug development, conducting RCTs may not be the only, if not right, way to take. Extrapolation strategies and modelling & simulation for pediatric drug development are paving the road to the better approval scheme. Making the use of data sources other than RCT such as EHR and claims data in ways that improve the efficiency and validity of the results (e.g., randomized pragmatic trial and randomized registry trial) has been the topic of great interest all around the world. Regulatory authorities should adopt new methodologies for regulatory approval processes to adapt to the changes brought by increasing availability of big and real world data utilizing new tools of technological advancement.

摘要

对于一种新药的监管批准而言,最理想且可靠的证据来源是随机对照试验(RCT)。然而,大量正在研发以及已上市并正在使用的药物通常缺乏针对儿童的恰当适应证。开发经过恰当评估的儿童用药势在必行。扩大已批准药物用于其他适应证将使患者和社会受益。尽管如此,要获得适应证扩展的批准,对于已批准药物或在完成主要药物研发期间或之后开发儿科适应证而言,多数情况下基于标签外用药经验,进行随机对照试验可能并非唯一(即便不是正确)的途径。儿科药物研发的外推策略以及建模与模拟正在为更好的批准方案铺平道路。以提高结果的效率和有效性的方式(例如随机实用试验和随机登记试验)利用电子健康记录(EHR)和理赔数据等随机对照试验以外的数据源,一直是全球备受关注的话题。监管机构应采用新的方法用于监管批准流程,以适应利用技术进步新工具带来的大量真实世界数据增加所带来的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4efd/6989250/b7ef32f3177a/tcp-26-155-g001.jpg

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