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Considerations for adaptive design in pediatric clinical trials: study protocol for a systematic review, mixed-methods study, and integrated knowledge translation plan

机译:儿科临床试验中适应性设计的考虑因素:用于系统审查,混合方法研究和综合知识翻译计划的研究方案

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摘要

Abstract Background Although children have historically been excluded from clinical trials (CTs), many require medicines tested and approved in CTs, forcing health care providers to treat their pediatric patients based on extrapolated data. Unfortunately, traditional randomized CTs can be slow and resource-intensive, and they often require multi-center collaboration. However, an adaptive design (AD) framework for CTs could be used to increase the efficiency of pediatric CTs by incorporating prospectively planned modifications to CT methods without undermining the integrity or validity of the study. There are many possible adaptations, but each will have ethical, logistical, and statistical implications. It remains unclear which adaptations (or combinations thereof) will lead to real-world improvements in pediatric CT efficiency. This study will identify, evaluate, and synthesize the various regulatory, ethical, logistical, and statistical considerations and emerging issues of AD in CTs that could be used to evaluate the use of drugs in children. Methods/design Following the development of a peer-reviewed search strategy, a systematic review on AD in CTs will be conducted. Data on regulatory, ethical, logistic, and statistical considerations as well as population and trial design characteristics will be synthesized. A mixed-methods study including surveys and focus groups with regulators, research ethics board members, biostatisticians, clinicians, and scientists, as well as representatives from patient groups and the public will evaluate the opportunities and challenges in applying AD in trials enrolling children and propose recommendations on best practices. Discussion This study will deliver practical recommendations on the use of AD in pediatric CTs. Collaboration and consultation with national and global partners will ensure that our results meet the needs of researchers, regulators, and patients, both locally and globally, and that they remain current and relevant by engaging a wide variety of stakeholders. Overall, this research will enrich the knowledge base regarding if, how, and when AD can be used to answer research questions with fewer resources while still meeting the highest ethical standards and regulatory requirements for CTs. In turn, this will result in increased high-quality clinical research needed by health care providers so they have access to appropriate, population-specific evidence regarding the safe and effective use of medicines in children.
机译:虽然儿童历史上被排除在临床试验(CTS)中被排除,但许多需要在CTS中进行测试和批准的药物,迫使医疗保健提供者根据外推数据对待其儿科患者。不幸的是,传统的随机CTS可能会缓慢而资源密集,并且它们通常需要多中心协作。然而,Cts的自适应设计(AD)框架可用于通过将前瞻性计划的修改掺入CT方法而不破坏研究的完整性或有效性来提高儿科CTS的效率。有许多可能的适应性,但每个都会有道德,后勤和统计影响。它仍不清楚哪种适应(或其组合)将导致对儿科CT效率的真实改善。本研究将识别,评估和综合可用于评估儿童药物使用药物的CTS的各种监管,道德,后勤和统计考虑,以及新出现的问题。方法/设计后开展同行评审策略,将进行对CTS中的广告系统审查。将合成关于监管,道德,物流和统计考虑的数据以及人口和试验设计特征。一种混合方法的研究包括调查和焦点小组,具有监管机构,研究道德委员会成员,生物统计学家,临床医生和科学家以及患者团体和公众的代表将评估在入学儿童的审判中申请广告的机会和挑战关于最佳实践的建议。讨论本研究将提供关于在儿科CTS中使用广告的实用建议。与国家和全球合作伙伴的合作和协商将确保我们的成果满足当地和全球的研究人员,监管机构和患者的需求,并且通过吸引各种利益攸关方,它们仍然是最新的和相关的。总体而言,这项研究将丰富知识库,即如何使用较少的资源,同时满足CTS的最高道德标准和监管要求,以如何使用较少的资源来回答研究问题。反过来,这将导致医疗保健提供者所需的高质量临床研究,以便他们获得适当的人口特定的证据,了解儿童药物安全有效地使用药物。

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