Evaluating Safety Rules in Ongoing Dose-Escalation Trials Using BOIN: A Comparative Analysis of Criteria and Their Impact on Dose-Level Safety Assessments.

IF 1.5 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Stefan Englert, Thomas J Prior, Anirban Mitra, Busola Sanusi, Liangcai Zhang, Lilla Di Scala
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Abstract

Ongoing dose-escalation trials present unique challenges in assessing safety, all with the goal to establish the maximum tolerated dose (MTD) and/or the recommended phase II dose (RP2D). Due to the extended duration of trials, it is common to declare doses as safe even if the entire adaptive and iterative dose escalation process has not been completed. This practice is often applied to aid trial management decisions, such as starting region-specific dose-escalation studies, initiating combination therapies, or allowing intra-patient dose escalation in previous cohorts, to enhance efficiency and accelerate the pace of drug development. Whereas regulatory agencies often require a safety margin for the starting dose for regional or combination dose-escalation studies, there exists a misperception within the research community that once an escalation assessment team has cleared a cohort for escalation, the associated dose level is inherently safe. Given that dose escalation algorithms permit repeated de-escalations, previously cleared doses may not be truly safe, necessitating a quantification of this risk and identifying an adequate safety margin. Through rigorous simulation studies, we identified criteria that must be met to confidently declare dose levels as safe within the Bayesian optimal interval (BOIN) design. Our comparative analysis of safety criteria shows that evaluating a minimum of three subjects at the dose level above the one to be declared safe is essential for accurate safety assessments and protecting patients. More aggressive dose-escalation paradigms would risk exposing patients to doses that are not ultimately declared safe.

使用BOIN评价正在进行的剂量递增试验中的安全规则:标准的比较分析及其对剂量水平安全评估的影响。
正在进行的剂量递增试验在安全性评估方面提出了独特的挑战,所有这些试验的目标都是确定最大耐受剂量(MTD)和/或推荐的II期剂量(RP2D)。由于试验持续时间较长,即使整个适应性和迭代剂量递增过程尚未完成,也通常会宣布剂量是安全的。这种做法通常用于辅助试验管理决策,例如启动特定区域剂量递增研究,启动联合治疗,或允许在先前队列中进行患者内剂量递增,以提高效率并加快药物开发的步伐。尽管监管机构通常要求区域或联合剂量递增研究的起始剂量有一个安全边际,但在研究界存在一种误解,即一旦递增评估小组批准一个队列进行递增,相关剂量水平本质上是安全的。鉴于剂量递增算法允许反复降低剂量,先前清除的剂量可能并非真正安全,因此有必要对这一风险进行量化并确定适当的安全边际。通过严格的模拟研究,我们确定了必须满足的标准,以自信地宣布剂量水平在贝叶斯最优区间(BOIN)设计内是安全的。我们对安全标准的比较分析表明,对至少三个高于宣布安全剂量水平的受试者进行评估,对于准确的安全评估和保护患者至关重要。更积极的剂量递增模式将有可能使患者暴露于最终不被宣布安全的剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
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