根据估算指导,肿瘤学中的时间-事件估算值和随访损失。

IF 1.3 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2024-03-29 DOI:10.1002/pst.2386
Jonathan M Siegel, Hans-Jochen Weber, Stefan Englert, Feng Liu, Michelle Casey
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引用次数: 0

摘要

时间到事件估计因素是许多肿瘤临床试验的核心。估计指标框架(ICH E9 指南增编)要求精确定义感兴趣的治疗效果,使其与感兴趣的临床问题相一致,并要求预先确定如何处理治疗开始后发生的并 "影响与感兴趣的临床问题相关的测量结果的解释或存在 "的并发症(ICEs)。我们讨论了临床试验设计和执行中的一个实际问题,即在某些临床情况下,不可能对患者进行系统的随访,直至发生相关事件。在出现并发症的情况下,失去随访机会会影响研究结果的意义和解释。我们为试验设计提供了建议,强调需要将感兴趣的临床问题与研究设计、对数据收集的影响以及其他实际影响紧密结合起来。当无法对患者进行系统的随访时,可能需要做出妥协,选择在当时情况下可行的最佳估计值。我们将讨论使用敏感性分析和补充分析来检查相关假设。
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Time-to-event estimands and loss to follow-up in oncology in light of the estimands guidance.

Time-to-event estimands are central to many oncology clinical trials. The estimands framework (addendum to the ICH E9 guideline) calls for precisely defining the treatment effect of interest to align with the clinical question of interest and requires predefining the handling of intercurrent events (ICEs) that occur after treatment initiation and "affect either the interpretation or the existence of the measurements associated with the clinical question of interest." We discuss a practical problem in clinical trial design and execution, that is, in some clinical contexts it is not feasible to systematically follow patients to an event of interest. Loss to follow-up in the presence of intercurrent events can affect the meaning and interpretation of the study results. We provide recommendations for trial design, stressing the need for close alignment of the clinical question of interest and study design, impact on data collection, and other practical implications. When patients cannot be systematically followed, compromise may be necessary to select the best available estimand that can be feasibly estimated under the circumstances. We discuss the use of sensitivity and supplementary analyses to examine assumptions of interest.

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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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