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A Structured Preapproval and Postapproval Comparative Study Design Framework to Generate Valid and Transparent Real-World Evidence for Regulatory Decisions

机译:结构化的普遍存在和非法比较研究设计框架,为监管决策产生有效和透明的真实证据

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摘要

Real-world evidence provides important information about the effects of medicines in routine clinical practice. To engender trust that evidence generated for regulatory purposes is sufficiently valid, transparency in the reasoning that underlies study design decisions is critical. Building on existing guidance and frameworks, we developed the Structured Preapproval and Postapproval Comparative study design framework to generate valid and transparent real-world Evidence (SPACE) as a process for identifying design elements and minimal criteria for feasibility and validity concerns, and for documenting decisions. Starting with an articulated research question, we identify key components of the randomized controlled trial needed to maximize validity, and pragmatic choices are considered when required. A causal diagram is used to justify the variables identified for confounding control, and key decisions, assumptions, and evidence are captured in a structured way. In this way, SPACE may improve dialogue and build trust among healthcare providers, patients, regulators, and researchers.
机译:现实世界的证据提供了有关药物在常规临床实践中的影响的重要信息。为了获得信任,即监管目的产生的证据是足够有效的,在理论下的推理中的透明度是研究设计决策至关重要。建立现有的指导和框架,我们开发了结构化的奖项和批准的比较研究设计框架,以产生有效和透明的现实世界证据(空间)作为识别设计要素和可行性和有效性问题的最小标准以及记录决策的过程。 。从铰接式研究问题开始,我们确定了最大化有效性所需的随机对照试验的关键组成部分,并且在需要时考虑务实选择。因果图用于证明用于混淆控制的变量,以及以结构化方式捕获关键决策,假设和证据。通过这种方式,空间可能会改善医疗保健提供者,患者,监管机构和研究人员之间的对话和建立信任。

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