Effect size estimation in cooperative group and industry sponsored phase 3 oncology trials

Sonal S Noticewala, Adam Grippin, Ramez Kouzy, Joseph Abi Jaoude, Avital Miller, Alexander Sherry, Ethan B Ludmir
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Abstract

Overly optimistic estimations of effect sizes may lead to underpowered studies and risk of erroneously dismissing effective treatments. To understand the prevalence and factors contributing to estimation of effect sizes, we evaluated 385 superiority-design phase 3 oncology randomized controlled trials (RCTs) with pre-specified and observed hazard ratios (HR) in published manuscripts. Of these, 88% were sponsored by industry and 22.6% were sponsored by cooperative groups. Few studies (10%) provided justification of their chosen sample size in the manuscript or available protocol. Overly optimistic estimations of effect sizes were common in cooperative group studies and, by contrast, uncommon in industry-sponsored studies. Moreover, industry-sponsored trials meeting the primary endpoint frequently achieved significantly lower HRs than expected. Together, these data suggest a correlation between study sponsorship, clinical trial power calculations, and subsequent trial outcomes.
合作组和行业赞助的 3 期肿瘤试验的效应大小估计
对效应量过于乐观的估计可能会导致研究力度不足,并有错误地忽视有效治疗的风险。为了了解影响效应大小估计的患病率和因素,我们评估了385项优势设计的3期肿瘤随机对照试验(rct),这些试验在已发表的手稿中有预先指定和观察到的风险比(HR)。其中,88%由行业赞助,22.6%由合作团体赞助。很少有研究(10%)在手稿或可用方案中提供了其选择的样本量的理由。对效应量的过度乐观估计在合作小组研究中很常见,相比之下,在行业赞助的研究中并不常见。此外,满足主要终点的行业赞助试验的hr通常比预期的要低得多。总之,这些数据表明研究赞助、临床试验功率计算和随后的试验结果之间存在相关性。
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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