Alger Emily, Minchom Anna, Lee Aiyegbusi Olalekan, Schipper Matthew, Yap Christina
Clinical Trial and Statistics Unit, Institute of Cancer Research, London, UK.
Drug Development Unit, Royal Marsden/Institute of Cancer Research, London, UK.
EClinicalMedicine. 2023 Sep 21;64:102228. doi: 10.1016/j.eclinm.2023.102228. eCollection 2023 Oct.
Traditionally, within dose-finding clinical trials, treatment toxicity and tolerability are assessed by clinicians. Research has shown that clinician reporting may have inadequate inter-rater reliability, poor correlation with patient reported outcomes, and under capture the true toxicity burden. The introduction of patient-reported outcomes (PROs), where the patient can assess their own symptomatic adverse events or quality of life, has potential to complement current practice to aid dose optimisation. There are no international recommendations offering guidance for the inclusion of PROs in dose-finding trial design and analysis. Our review aimed to identify and describe current statistical methods and data visualisation techniques employed to analyse and visualise PRO data in published early phase dose-finding oncology trials (DFOTs).
DFOTs published from June 2016-December 2022, which presented PRO analysis methods, were included in this methodological review. We extracted 35 eligible papers indexed in PubMed. Study characteristics extracted included: PRO objectives, PRO measures, statistical analysis and visualisation techniques, and whether the PRO was involved in interim and final dose selection decisions.
Most papers (30, 85.7%) did not include clear PRO objectives. 20 (57.1%) papers used inferential statistical techniques to analyse PROs, including survival analysis and mixed-effect models. One trial used PROs to classify a clinicians' assessed dose-limiting toxicities (DLTs). Three (8.6%) trials used PROs to confirm the tolerability of the recommended dose. 25 trial reports visually presented PRO data within a figure or table within their publication, of which 12 papers presented PRO score longitudinally.
This review highlighted that the statistical methods and reporting of PRO analysis in DFOTs are often poorly described and inconsistent. Many trials had PRO objectives which were not clearly described, making it challenging to evaluate the appropriateness of the statistical techniques used. Drawing conclusions based on DFOTs which are not powered for PROs may be misleading. With no guidance and standardisation of analysis methods for PROs in early phase DFOTs, it is challenging to compare study findings across trials. Therefore, there is a crucial need to establish international guidance to enhance statistical methods and graphical presentation for PRO analysis in the dose-finding setting.
EA has been supported to undertake this work as part of a PhD studentship from the Institute of Cancer Research within the MRC/NIHR Trials Methodology Research Partnership. AM is supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at the Royal Marsden NHS Foundation Trust, the Institute of Cancer Research and Imperial College.
传统上,在剂量探索性临床试验中,治疗毒性和耐受性由临床医生评估。研究表明,临床医生的报告可能存在评分者间信度不足、与患者报告结局的相关性较差以及未能充分反映真实毒性负担的问题。引入患者报告结局(PROs),即患者可以评估自身的症状性不良事件或生活质量,有可能补充当前的做法以辅助剂量优化。目前尚无国际建议为在剂量探索性试验设计和分析中纳入PROs提供指导。我们的综述旨在识别和描述在已发表的早期肿瘤剂量探索性试验(DFOTs)中用于分析和可视化PRO数据的当前统计方法和数据可视化技术。
本方法学综述纳入了2016年6月至2022年12月发表的呈现PRO分析方法的DFOTs。我们从PubMed中提取了35篇符合条件的论文。提取的研究特征包括:PRO目标、PRO测量方法、统计分析和可视化技术,以及PRO是否参与中期和最终剂量选择决策。
大多数论文(30篇,85.7%)未包含明确的PRO目标。20篇(57.1%)论文使用推断统计技术分析PROs,包括生存分析和混合效应模型。一项试验使用PROs对临床医生评估的剂量限制性毒性(DLTs)进行分类。三项(8.6%)试验使用PROs确认推荐剂量的耐受性。25份试验报告在其出版物的图表中直观呈现了PRO数据,其中12篇论文纵向呈现了PRO得分。
本综述强调,DFOTs中PRO分析的统计方法和报告往往描述不佳且不一致。许多试验的PRO目标未明确描述,这使得评估所使用统计技术的适当性具有挑战性。基于未针对PROs进行功效分析的DFOTs得出结论可能会产生误导。由于早期DFOTs中PROs的分析方法缺乏指导和标准化,跨试验比较研究结果具有挑战性。因此,迫切需要制定国际指南,以加强剂量探索背景下PRO分析的统计方法和图形展示。
EA作为医学研究理事会/英国国家卫生研究院试验方法研究伙伴关系中癌症研究所博士奖学金的一部分,获得支持开展这项工作。AM得到了英国国家卫生研究院(NIHR)皇家马斯登国民保健服务基金会信托、癌症研究所和帝国理工学院生物医学研究中心的支持。