{"title":"将患者报告结果纳入连续入组的剂量测定临床试验。","authors":"Anaïs Andrillon, Lucie Biard, Shing M Lee","doi":"10.1080/10543406.2023.2236216","DOIUrl":null,"url":null,"abstract":"<p><p>Dose-finding clinical trials in oncology estimate the maximum tolerated dose (MTD), based on toxicity obtained from the clinician's perspective. While the collection of patient-reported outcomes (PROs) has been advocated to better inform treatment tolerability, there is a lack of guidance and methods on how to use PROs for dose assignments and recommendations. The PRO continual reassessment method (PRO-CRM) has been proposed to formally incorporate PROs into dose-finding trials. In this paper, we propose two extensions of the PRO-CRM, which allow continuous enrollment of patients and longer toxicity observation windows to capture late-onset or cumulative toxicities by using a weighted likelihood to include the partial toxicity follow-up information. The TITE-PRO-CRM uses both the PRO and the clinician's information during the trial for dose assignment decisions and at the end of the trial to estimate the MTD. The TITE-CRM + PRO uses clinician's information solely to inform dose assignments during the trial and incorporates PRO at the end of the trial for the estimation of the MTD. Simulation studies show that the TITE-PRO-CRM performs similarly to the PRO-CRM in terms of dose recommendation and assignments during the trial while almost halving trial duration in case of an accrual of two patients per observation window. The TITE-CRM + PRO slightly underperforms compared to the TITE-PRO-CRM, but similar performance can be attained by requiring larger sample sizes. 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引用次数: 0
摘要
肿瘤学的剂量探索临床试验根据从临床医生角度获得的毒性来估算最大耐受剂量(MTD)。虽然收集患者报告的结果(PROs)可以更好地了解治疗耐受性,但在如何使用PROs进行剂量分配和推荐方面缺乏指导和方法。有人提出了PRO持续再评估法(PRO-CRM),将PRO正式纳入剂量测定试验。在本文中,我们提出了 PRO-CRM 的两个扩展方案,通过使用加权似然法纳入部分毒性随访信息,允许患者连续入组,并延长毒性观察窗口期,以捕捉晚发或累积毒性。TITE-PRO-CRM 在试验期间使用 PRO 和临床医生的信息来决定剂量分配,并在试验结束时估算 MTD。TITE-CRM + PRO 仅在试验期间使用临床医生的信息为剂量分配提供依据,并在试验结束时结合 PRO 估算 MTD。模拟研究表明,TITE-PRO-CRM 在试验期间的剂量推荐和分配方面的表现与 PRO-CRM 相似,而在每个观察窗口增加两名患者的情况下,试验持续时间几乎缩短了一半。与 TITE-PRO-CRM 相比,TITE-CRM + PRO 略逊一筹,但通过要求更大的样本量,也能达到类似的效果。我们还表明,所提方法的性能对更高的应计率、不同的毒性危害以及相关的医师毒性时间和患者毒性时间数据都是稳健的。
Incorporating patient-reported outcomes in dose-finding clinical trials with continuous patient enrollment.
Dose-finding clinical trials in oncology estimate the maximum tolerated dose (MTD), based on toxicity obtained from the clinician's perspective. While the collection of patient-reported outcomes (PROs) has been advocated to better inform treatment tolerability, there is a lack of guidance and methods on how to use PROs for dose assignments and recommendations. The PRO continual reassessment method (PRO-CRM) has been proposed to formally incorporate PROs into dose-finding trials. In this paper, we propose two extensions of the PRO-CRM, which allow continuous enrollment of patients and longer toxicity observation windows to capture late-onset or cumulative toxicities by using a weighted likelihood to include the partial toxicity follow-up information. The TITE-PRO-CRM uses both the PRO and the clinician's information during the trial for dose assignment decisions and at the end of the trial to estimate the MTD. The TITE-CRM + PRO uses clinician's information solely to inform dose assignments during the trial and incorporates PRO at the end of the trial for the estimation of the MTD. Simulation studies show that the TITE-PRO-CRM performs similarly to the PRO-CRM in terms of dose recommendation and assignments during the trial while almost halving trial duration in case of an accrual of two patients per observation window. The TITE-CRM + PRO slightly underperforms compared to the TITE-PRO-CRM, but similar performance can be attained by requiring larger sample sizes. We also show that the performance of the proposed methods is robust to higher accrual rates, different toxicity hazards, and correlated time-to-clinician toxicity and time-to-patient toxicity data.
期刊介绍:
The Journal of Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to biopharmaceutical research in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers:
Drug, device, and biological research and development;
Drug screening and drug design;
Assessment of pharmacological activity;
Pharmaceutical formulation and scale-up;
Preclinical safety assessment;
Bioavailability, bioequivalence, and pharmacokinetics;
Phase, I, II, and III clinical development including complex innovative designs;
Premarket approval assessment of clinical safety;
Postmarketing surveillance;
Big data and artificial intelligence and applications.