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A tutorial on the use of exploratory efficacy outcomes in uncontrolled phase I cell therapy trials

机译:关于在不受控制的I型细胞疗法试验中使用探索性疗效结果的教程

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摘要

Phase I cell therapy clinical trials evaluate the safety of novel biologic treatments and are often uncontrolled. Many of these studies also include exploratory efficacy outcome measures, which are frequently continuous measures of disease state or severity, or participant‐reported measures of symptom burden or quality of life. When such outcomes are included in uncontrolled phase I trials, they are typically serially assessed on the participants over time, and any improvement from baseline is interpreted as preliminary evidence of efficacy justifying a future, controlled trial. However, it is challenging to distinguish true improvement from regression to the mean in this design. The problem is exacerbated when trial entry criteria are based on extreme values of the outcome measure used to assess efficacy. It is possible to estimate the expected effect of regression to the mean when the natural history of the outcome measure is known, yet this is rarely done in practice. This article provides a refresher on regression to the mean for investigators designing early phase clinical trials in cell therapy and evaluates the potential for regression to the mean to have influenced conclusions drawn from recently conducted phase I cell therapy trials.
机译:I级细胞疗法临床试验评估新型生物治疗的安全性,通常是不受控制的。这些研究中的许多也包括探索性疗效结果措施,这些疗效措施通常是持续的疾病状态或严重程度,或参与者报告的症状负担或生活质量的措施。当这种结果包含在不受控制的I阶段试验中时,它们通常随着时间的推移在参与者上串行评估,并且基线的任何改善被解释为有效性证明未来,对照试验的课程初步证据。然而,将真正的改善与在这种设计中的平均值中区分真实的改善是挑战性的。当试验条目基于用于评估疗效的结果措施的极端值时,问题会加剧。当已知结果措施的自然历史时,可以估计回归对均值的预期效果,但这很少在实践中进行。本文提供了对在细胞疗法中设计早期临床试验的调查人员的平均值的复述,并评估回归对来自最近进行的IS细胞疗法试验的结论的潜力。

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