论文标题
通过有针对性的学习评估和改善现实世界的证据
Evaluating and improving real-world evidence with Targeted Learning
论文作者
论文摘要
目的:目标学习路线图为生成和评估现实世界证据(RWE)提供了系统的指南。从监管的角度来看,RWE源自不同的来源,例如使用实际数据,观察性研究和其他研究设计的随机对照试验。本文说明了一种评估RWE的有效性和解释性的原则方法。 方法:我们将路线图应用于对日本怀孕双胞胎妇女中利奥德氏菌盐酸和肺水肿之间剂量反应关联的公开观察性研究。目的是确定在研究作者报道的无法衡量的混杂之外,确定因果效应估计的障碍,并探索克服可靠结果的障碍的潜在选择。 结果:遵循路线图提出的问题,使我们提出了产生更可靠,可解释的RWE的替代因果问题。该过程显示可用数据中缺乏信息,无法识别因果剂量响应曲线。但是,在明确的假设下,可以从数据中估算出任何数量的可关心线对治疗的影响,尽管是雄心勃勃的参数。 结论:在可以使用RWE来支持临床和监管决策之前,必须系统地评估其质量和可靠性。 TL路线图规定了如何对RWE进行彻底,透明和现实的评估。我们建议这种方法是任何决策过程的常规部分。
Purpose: The Targeted Learning roadmap provides a systematic guide for generating and evaluating real-world evidence (RWE). From a regulatory perspective, RWE arises from diverse sources such as randomized controlled trials that make use of real-world data, observational studies, and other study designs. This paper illustrates a principled approach to assessing the validity and interpretability of RWE. Methods: We applied the roadmap to a published observational study of the dose-response association between ritodrine hydrochloride and pulmonary edema among women pregnant with twins in Japan. The goal was to identify barriers to causal effect estimation beyond unmeasured confounding reported by the study's authors, and to explore potential options for overcoming the barriers that robustify results. Results: Following the roadmap raised issues that led us to formulate alternative causal questions that produced more reliable, interpretable RWE. The process revealed a lack of information in the available data to identify a causal dose-response curve. However, under explicit assumptions the effect of treatment with any amount of ritodrine versus none, albeit a less ambitious parameter, can be estimated from data. Conclusion: Before RWE can be used in support of clinical and regulatory decision-making, its quality and reliability must be systematically evaluated. The TL roadmap prescribes how to carry out a thorough, transparent, and realistic assessment of RWE. We recommend this approach be a routine part of any decision-making process.