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强制随机化:是什么、为什么以及如何进行。

Forced randomization: the what, why, and how.

机构信息

Boehringer-Ingelheim Pharmaceuticals Inc, Ridgefield, CT, USA.

Merck & Co., Inc., Rahway, NJ, USA.

出版信息

BMC Med Res Methodol. 2024 Oct 8;24(1):234. doi: 10.1186/s12874-024-02340-0.

DOI:10.1186/s12874-024-02340-0
PMID:39379810
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11459895/
Abstract

BACKGROUND

When running a randomized controlled trial (RCT), a clinical site may face a situation when an eligible trial participant is to be randomized to the treatment that is not available at the site. In this case, there are two options: not to enroll the participant, or, without disclosing to the site, allocate the participant to a treatment arm with drug available at the site using a built-in feature of the interactive response technology (IRT). In the latter case, one has employed a "forced randomization" (FR). There seems to be an industry-wide consensus that using FR can be acceptable in confirmatory trials provided there are "not too many" instances of forcing. A better understanding of statistical properties of FR is warranted.

METHODS

We described four different IRT configurations with or without FR and illustrated them using a simple example. We discussed potential merits of FR and outlined some relevant theoretical risks and risk mitigation strategies. We performed a search using Cortellis Regulatory Intelligence database (IDRAC) ( www.cortellis.com ) to understand the prevalence of FR in clinical trial practice. We also proposed a structured template for development and evaluation of randomization designs featuring FR and showcased an application of this template for a hypothetical multi-center 1:1 RCT under three experimental settings ("base case", "slower recruitment", and "faster recruitment") to explore the effect of four different IRT configurations in combination with three different drug supply/re-supply strategies on some important operating characteristics of the trial. We also supplied the Julia code that can be used to reproduce our simulation results and generate additional results under user-specified experimental scenarios.

RESULTS

FR can eliminate refusals to randomize patients, which can cause frustration for patients and study site personnel, improve the study logistics, drug supply management, cost-efficiency, and recruitment time. Nevertheless, FR carries some potential risks that should be reviewed at the study planning stage and, ideally, prospectively addressed through risk mitigation planning. The Cortellis search identified only 9 submissions that have reported the use of FR; typically, the FR option was documented in IRT specifications. Our simulation evidence showed that under the considered realistic experimental settings, the percentage of FR is expected to be low. When FR with backfilling was used in combination with high re-supply strategy, the final treatment imbalance was negligibly small, the proportion of patients not randomized due to the lack of drug supply was close to zero, and the time to complete recruitment was shortened compared to the case when FR was not allowed. The drug overage was primarily determined by the intensity of the re-supply strategy and to a smaller extent by the presence or absence of the FR feature in IRT.

CONCLUSION

FR with a carefully chosen drug supply/re-supply strategy can result in quantifiable improvements in the patients' and site personnel experience, trial logistics and efficiency while preventing an undesirable refusal to randomize a patient and a consequential unblinding at the site. FR is a useful design feature of multi-center RCTs provided it is properly planned for and carefully implemented.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/ea343f7c12a2/12874_2024_2340_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/2c5e38bd579e/12874_2024_2340_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/c31f0366a98b/12874_2024_2340_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/0f33f204ed8d/12874_2024_2340_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/7964dd6f4116/12874_2024_2340_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/ea343f7c12a2/12874_2024_2340_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/2c5e38bd579e/12874_2024_2340_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/c31f0366a98b/12874_2024_2340_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/0f33f204ed8d/12874_2024_2340_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/7964dd6f4116/12874_2024_2340_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efdf/11459895/ea343f7c12a2/12874_2024_2340_Fig5_HTML.jpg
摘要

背景

在进行随机对照试验(RCT)时,临床站点可能会面临这样一种情况,即合格的试验参与者被随机分配到该站点无法提供的治疗方案。在这种情况下,有两种选择:不招募参与者,或者在不向站点透露的情况下,使用交互式反应技术(IRT)的内置功能将参与者分配到可用药物的治疗组。在后一种情况下,人们采用了“强制随机化”(FR)。似乎业界已经达成共识,在确证性试验中,只要强制的情况“不太多”,使用 FR 是可以接受的。有必要更好地了解 FR 的统计特性。

方法

我们描述了四种不同的带有或不带有 FR 的 IRT 配置,并使用一个简单的示例进行了说明。我们讨论了 FR 的潜在优点,并概述了一些相关的理论风险和风险缓解策略。我们使用 Cortellis 监管智能数据库(IDRAC)(www.cortellis.com)进行了搜索,以了解 FR 在临床试验实践中的流行程度。我们还提出了一个用于开发和评估具有 FR 的随机化设计的结构化模板,并展示了该模板在三种实验设置(“基础案例”、“招募较慢”和“招募较快”)下对假设的 1:1 多中心 RCT 的应用,以探索四种不同的 IRT 配置与三种不同的药物供应/再供应策略相结合对试验的一些重要操作特征的影响。我们还提供了可以用于复制我们的模拟结果并在用户指定的实验场景下生成其他结果的 Julia 代码。

结果

FR 可以消除拒绝随机分配患者的情况,这可能会给患者和研究站点人员带来挫败感,同时还可以改善研究的后勤、药物供应管理、成本效益和招募时间。然而,FR 确实存在一些潜在风险,这些风险应在研究规划阶段进行审查,并最好通过风险缓解计划前瞻性地解决。Cortellis 的搜索仅识别到 9 项报告使用 FR 的提交,通常,FR 选项记录在 IRT 规范中。我们的模拟结果表明,在考虑到的现实实验条件下,FR 的比例预计会很低。当使用具有回填的 FR 与高再供应策略相结合时,最终的治疗失衡非常小,由于药物供应不足而未随机分配的患者比例接近零,与不允许 FR 时相比,招募完成时间缩短。药物过剩主要取决于再供应策略的强度,其次取决于 IRT 中是否存在 FR 功能。

结论

带有精心选择的药物供应/再供应策略的 FR 可以在提高患者和站点人员的体验、试验的后勤和效率方面带来可量化的改进,同时防止出现拒绝随机分配患者和站点不可避免的揭盲情况。FR 是多中心 RCT 的有用设计特征,前提是对其进行了适当的规划和谨慎的实施。

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