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用于前瞻性定义内部试验研究监测招募进展规则的框架。

A framework for prospectively defining progression rules for internal pilot studies monitoring recruitment.

机构信息

1 Department of Mathematics and Statistics, Medical and Pharmaceutical Statistics Research Unit, Lancaster University, Lancaster, UK.

2 Statistical Innovation, Advanced Analytics Centre, AstraZeneca, Cambridge, UK.

出版信息

Stat Methods Med Res. 2018 Dec;27(12):3612-3627. doi: 10.1177/0962280217708906. Epub 2017 Jun 7.

Abstract

Just over half of publicly funded trials recruit their target sample size within the planned study duration. When recruitment targets are missed, the funder of a trial is faced with the decision of either committing further resources to the study or risk that a worthwhile treatment effect may be missed by an underpowered final analysis. To avoid this challenging situation, when there is insufficient prior evidence to support predicted recruitment rates, funders now require feasibility assessments to be performed in the early stages of trials. Progression criteria are usually specified and agreed with the funder ahead of time. To date, however, the progression rules used are typically ad hoc. In addition, rules routinely permit adaptations to recruitment strategies but do not stipulate criteria for evaluating their effectiveness. In this paper, we develop a framework for planning and designing internal pilot studies which permit a trial to be stopped early if recruitment is disappointing or to continue to full recruitment if enrolment during the feasibility phase is adequate. This framework enables a progression rule to be pre-specified and agreed upon prior to starting a trial. The novel two-stage designs stipulate that if neither of these situations arises, adaptations to recruitment should be made and subsequently evaluated to establish whether they have been successful. We derive optimal progression rules for internal pilot studies which minimise the expected trial overrun and maintain a high probability of completing the study when the recruitment rate is adequate. The advantages of this procedure are illustrated using a real trial example.

摘要

仅有超过一半的公共资助试验能够在计划的研究时间内招募到目标样本量。当招募目标未达成时,试验的资助者将面临以下决策:要么投入更多资源继续进行研究,要么冒着最终分析结果因效力不足而错失有价值的治疗效果的风险。为避免这种具有挑战性的情况,当缺乏足够的前期证据来支持预测的招募率时,资助者现在要求在试验的早期阶段进行可行性评估。通常会提前与资助者一起规定和商定进展标准。然而,迄今为止,使用的进展规则通常是临时性的。此外,规则通常允许对招募策略进行调整,但并未规定评估其效果的标准。在本文中,我们开发了一个规划和设计内部试点研究的框架,如果招募情况不佳,可以提前停止试验;如果在可行性阶段的入组人数足够,可以继续进行全面招募。该框架允许在开始试验之前预先规定和商定进展规则。新颖的两阶段设计规定,如果没有出现这两种情况,就应该对招募进行调整,并随后进行评估,以确定它们是否成功。我们为内部试点研究推导出了最优的进展规则,以最小化试验超时的预期,并在招募率足够时保持完成研究的高概率。使用真实的试验示例说明了此程序的优势。

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