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一项针对因无效而提前终止的随机试验的系统调查。

A systematic survey of randomised trials that stopped early for reasons of futility.

机构信息

Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, L8N 3Z5, Canada.

Mount Sinai Hospital, Toronto, Canada.

出版信息

BMC Med Res Methodol. 2020 Jan 16;20(1):10. doi: 10.1186/s12874-020-0899-1.

Abstract

BACKGROUND

Randomised trial protocols may incorporate interim analyses, with the potential to stop the study for futility if early data show insufficient promise of a treatment benefit. Previously, we have shown that this approach will theoretically lead to mis-estimation of the treatment effect. We now wished to ascertain the importance of this phenomenon in practice.

METHODS

We reviewed the methods and results in a set of trials that had stopped for futility, identified through an extensive literature search. We recorded clinical areas, interventions, study design, outcomes, trial setting, sponsorship, planned and actual treatment effects, sample sizes; power; and if there was a data safety monitoring board, or a published protocol. We identified: if interim analyses were pre-specified, and how many analyses actually occurred; what pre-specified criteria might define futility; if a futility analysis formed the basis for stopping; who made the decision to stop; and the conditional power of each study, i.e. the probability of statistically significant results if the study were to continue to its complete sample size.

RESULTS

We identified 52 eligible trials, covering many clinical areas. Most trials had multiple centres, tested drugs, and 40% were industry sponsored. There were 75% where at least one interim analysis was planned a priori; a majority had only one interim analysis, typically with about half the target total sample size. A majority of trials did not pre-define a stopping rule, and a variety of reasons were given for stopping. Few studies calculated and reported low conditional power to justify the early stop. When conditional power could be calculated, it was typically low, especially under the current trend hypothesis. However, under the original design hypothesis, a few studies had relatively high conditional power. Data collection often continued after the interim analysis.

CONCLUSIONS

Although other factors will typically be involved, we conclude that, from the perspective of conditional power, stopping early for futility was probably reasonable in most cases, but documentation of the basis for stopping was often missing or vague. Interpretation of truncated trials would be enhanced by improved reporting of stopping protocols, and of their actual execution.

摘要

背景

随机试验方案可能包含中期分析,如果早期数据显示治疗效果没有足够的希望,就有可能停止研究以避免无效。此前,我们已经表明,这种方法在理论上会导致对治疗效果的估计错误。现在,我们希望确定这种现象在实践中的重要性。

方法

我们通过广泛的文献搜索,回顾了一组因无效而停止的试验的方法和结果。我们记录了临床领域、干预措施、研究设计、结果、试验设置、赞助、计划和实际治疗效果、样本量;功效;以及是否有数据安全监测委员会或已发表的方案。我们确定了:中期分析是否预先指定,实际进行了多少次分析;可能定义无效的预先指定标准是什么;如果中期分析构成停止的基础;谁做出停止的决定;以及每项研究的条件功效,即在研究继续进行到完整样本量时,统计上显著结果的概率。

结果

我们确定了 52 项符合条件的试验,涵盖了许多临床领域。大多数试验都有多个中心,测试药物,40%是工业赞助的。有 75%的试验至少有一次预先计划的中期分析;大多数试验只有一次中期分析,通常只有目标总样本量的一半左右。大多数试验没有预先定义停止规则,并且给出了多种停止的理由。很少有研究计算并报告了低条件功效,以证明早期停止是合理的。当可以计算条件功效时,它通常很低,尤其是在当前趋势假设下。然而,根据原始设计假设,少数研究的条件功效相对较高。中期分析后,数据收集通常仍在继续。

结论

尽管通常还会涉及其他因素,但我们的结论是,从条件功效的角度来看,大多数情况下因无效而提前停止是合理的,但停止的依据通常缺失或模糊。通过改进对停止方案及其实际执行情况的报告,对截短试验的解释将得到增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8892/6966801/caacb1026426/12874_2020_899_Fig1_HTML.jpg

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