设计一项临床试验,采用广义两两比较来检验一种较低强度的治疗方案。

IF 2.2 3区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Clinical Trials Pub Date : 2024-04-01 Epub Date: 2023-10-25 DOI:10.1177/17407745231206465
Mickaël De Backer, Manju Sengar, Vikram Mathews, Samuel Salvaggio, Vaiva Deltuvaite-Thomas, Jean-Christophe Chiêm, Everardo D Saad, Marc Buyse
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引用次数: 0

摘要

背景/目的:显示强度较小的治疗的“相似疗效”通常需要进行非劣效性试验。然而,此类试验的设计和实施可能具有挑战性。在急性早幼粒细胞白血病中,靶向治疗已经取得了很大进展,但毒性仍然是一个主要的临床问题。迫切需要证明低强度治疗方案的有利益处/风险。方法:我们设计了一项临床试验,使用五种优先结果的广义成对比较(2 年,3/4级记录的感染、分化综合征、肝毒性和神经病变),以证实低强度治疗方案的有利益处/风险。我们根据历史数据和对标准护理和低强度治疗方案之间预期差异的假设进行了模拟,以计算需要高功率才能显示出有利于低强度治疗的正净治疗效益的样本量。结果:在10000个模拟中,一项试验需要260至300名患者的平均样本量,该试验使用广义成对比较来检测0.19的典型净治疗效益(样本量为280的四分位间距为0.14-0.23)。净治疗效益被解释为在强度较低的治疗方案中比在标准护理方案中表现更好的概率减去相反情况的概率之间的差异。0.19的净治疗效益意味着治疗约5.3名患者所需的数量(1/0.19±5.3)。结论:广义成对比较允许同时评估疗效和安全性,优先考虑前者。所需的样本量约为300名患者,相比之下,非劣效性试验的700多名患者在2岁时无事件生存率的绝对差异为4%,与强度较低的治疗方案相比 年,正如这里所考虑的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a clinical trial using generalized pairwise comparisons to test a less intensive treatment regimen.

Background/aims: Showing "similar efficacy" of a less intensive treatment typically requires a non-inferiority trial. Yet such trials may be challenging to design and conduct. In acute promyelocytic leukemia, great progress has been achieved with the introduction of targeted therapies, but toxicity remains a major clinical issue. There is a pressing need to show the favorable benefit/risk of less intensive treatment regimens.

Methods: We designed a clinical trial that uses generalized pairwise comparisons of five prioritized outcomes (alive and event-free at 2 years, grade 3/4 documented infections, differentiation syndrome, hepatotoxicity, and neuropathy) to confirm a favorable benefit/risk of a less intensive treatment regimen. We conducted simulations based on historical data and assumptions about the differences expected between the standard of care and the less intensive treatment regimen to calculate the sample size required to have high power to show a positive Net Treatment Benefit in favor of the less intensive treatment regimen.

Results: Across 10,000 simulations, average sample sizes of 260 to 300 patients are required for a trial using generalized pairwise comparisons to detect typical Net Treatment Benefits of 0.19 (interquartile range 0.14-0.23 for a sample size of 280). The Net Treatment Benefit is interpreted as a difference between the probability of doing better on the less intensive treatment regimen than on the standard of care, minus the probability of the opposite situation. A Net Treatment Benefit of 0.19 translates to a number needed to treat of about 5.3 patients (1/0.19 ≃ 5.3).

Conclusion: Generalized pairwise comparisons allow for simultaneous assessment of efficacy and safety, with priority given to the former. The sample size required would be of the order of 300 patients, as compared with more than 700 patients for a non-inferiority trial using a margin of 4% against the less intensive treatment regimen for the absolute difference in event-free survival at 2 years, as considered here.

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来源期刊
Clinical Trials
Clinical Trials 医学-医学:研究与实验
CiteScore
4.10
自引率
3.70%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Clinical Trials is dedicated to advancing knowledge on the design and conduct of clinical trials related research methodologies. Covering the design, conduct, analysis, synthesis and evaluation of key methodologies, the journal remains on the cusp of the latest topics, including ethics, regulation and policy impact.
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