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Bridging the gap: a review of dose investigations in paediatric investigation plans

机译:缩小差距:儿科研究计划中剂量研究的回顾

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Aims In the EU, development of new medicines for children should follow a prospectively agreed paediatric investigation plan (PIP). Finding the right dose for children is crucial but challenging due to the variability of pharmacokinetics across age groups and the limited sample sizes available. We examined strategies adopted in PIPs to support paediatric dosing recommendations to identify common assumptions underlying dose investigations and the attempts planned to verify them in children. Methods We extracted data from 73 PIP opinions recently adopted by the Paediatric Committee of the European Medicines Agency. These opinions represented 79 medicinal development programmes and comprised a total of 97 dose investigation studies. We identified the design of these dose investigation studies, recorded the analyses planned and determined the criteria used to define target doses. Results Most dose investigation studies are clinical trials (83 of 97) that evaluate a single dosing rule. Sample sizes used to investigate dose are highly variable across programmes, with smaller numbers used in younger children ( Conclusions Common assumptions underlying dose investigation strategies include dose proportionality and similar exposure?response relationships in adults and children. Few development programmes pre-specify steps to verify assumptions in children. There is scope for the use of Bayesian methods as a framework for synthesizing existing information to quantify prior uncertainty about assumptions. This process can inform the design of optimal drug development strategies.
机译:目的在欧盟,针对儿童的新药开发应遵循事先商定的儿科调查计划(PIP)。为儿童找到合适的剂量至关重要,但由于各个年龄段的药代动力学差异以及可用的样本量有限,因此具有挑战性。我们研究了在PIP中采用的策略,以支持儿科剂量推荐,以识别剂量研究背后的常见假设以及计划在儿童中进行验证的尝试。方法我们从欧洲药品管理局儿科委员会最近采用的73种PIP意见中提取了数据。这些意见代表了79项药物开发计划,共进行了97项剂量研究。我们确定了这些剂量研究的设计,记录了计划的分析并确定了用于定义目标剂量的标准。结果大多数剂量研究是评估单个给药规则的临床试验(97个试验中的83个)。在各个计划中,用于调查剂量的样本量变化很大,而在较小的儿童中使用的样本量则较小(结论剂量研究策略的共同假设包括成人和儿童的剂量比例和相似的暴露-反应关系。很少有开发计划预先确定验证步骤使用贝叶斯方法作为综合现有信息以量化先前关于假设的不确定性的框架是有空间的,这一过程可以为最佳药物开发策略的设计提供依据。

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