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Regulatory innovation for expansion of indications and pediatric drug development

机译:适应症扩展和儿科药物开发的监管创新

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摘要

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.
机译:对于新药的监管批准,最优选和可靠的证据来源将是随机对照试验(RCT)。但是,正在开发以及已经上市和使用的许多药物通常缺乏对儿童的适当适应症。必须为儿童开发经过适当评估的药物。扩大已经批准的药物用于其他适应症的使用将使患者和社会受益。尽管如此,要想在主要药物开发过程中或完成后获得批准的适应症扩展许可(通常带有无标签的经验),已批准的药物或用于儿科适应症的适应症,进行RCT可能不是唯一的方法,如果不正确,采取的方式。儿科药物开发的外推策略,建模与仿真为更好的批准方案铺平了道路。利用RCT以外的其他数据源(例如EHR和索赔数据)来提高结果的效率和有效性(例如,随机的实用性试验和随机的注册试验),已成为全世界关注的话题。监管机构应采用新的方法来进行监管审批流程,以适应使用新的技术进步工具增加大而真实数据的可用性所带来的变化。

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