临床试验中的德尔塔膨胀、乐观偏差和不确定性。

IF 2 4区 医学 Q4 MEDICAL INFORMATICS Therapeutic innovation & regulatory science Pub Date : 2024-11-01 Epub Date: 2024-09-06 DOI:10.1007/s43441-024-00697-4
Charles C Liu, Peiwen Wu, Ron Xiaolong Yu
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引用次数: 0

摘要

德尔塔膨胀现象是指设计的治疗效果往往超过观察到的治疗效果,这种现象在多个治疗领域都有记录。德尔塔膨胀通常被归咎于研究者的乐观偏差,或对新疗法疗效的无端相信。与此相反,我们认为德尔塔膨胀可能是临床等效的自然结果,即在试验开始之前,治疗的相对效益确实存在不确定性。我们回顾了可提供有关研究者信念的更直接证据的替代方法,包括贝叶斯先验和预测分析。关于乐观偏倚的现有证据似乎好坏参半,只有在试验设计阶段明确表达不确定性时才能对其进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Delta Inflation, Optimism Bias, and Uncertainty in Clinical Trials.

The phenomenon of delta inflation, in which design treatment effects tend to exceed observed treatment effects, has been documented in several therapeutic areas. Delta inflation has often been attributed to investigators' optimism bias, or an unwarranted belief in the efficacy of new treatments. In contrast, we argue that delta inflation may be a natural consequence of clinical equipoise, that is, genuine uncertainty about the relative benefits of treatments before a trial is initiated. We review alternative methodologies that can offer more direct evidence about investigators' beliefs, including Bayesian priors and forecasting analysis. The available evidence for optimism bias appears to be mixed, and can be assessed only where uncertainty is expressed explicitly at the trial design stage.

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来源期刊
Therapeutic innovation & regulatory science
Therapeutic innovation & regulatory science MEDICAL INFORMATICS-PHARMACOLOGY & PHARMACY
CiteScore
3.40
自引率
13.30%
发文量
127
期刊介绍: Therapeutic Innovation & Regulatory Science (TIRS) is the official scientific journal of DIA that strives to advance medical product discovery, development, regulation, and use through the publication of peer-reviewed original and review articles, commentaries, and letters to the editor across the spectrum of converting biomedical science into practical solutions to advance human health. The focus areas of the journal are as follows: Biostatistics Clinical Trials Product Development and Innovation Global Perspectives Policy Regulatory Science Product Safety Special Populations
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