Methodology and Quality of Life Unit in Oncology (INSERM UMR 1098), University Hospital of Besançon, 3 Boulevard Alexandre Fleming, 25030, Besançon, France.
French National Platform Quality of Life and Cancer, Besançon, France.
Qual Life Res. 2022 Mar;31(3):645-657. doi: 10.1007/s11136-021-02945-8. Epub 2021 Jul 20.
A systematic literature review of immuno-oncology trials was conducted to assess the potential impact of open-label vs double-blind trial design on patient-reported outcome (PRO) data.
A systematic search of indexed literature published from January 2009 to May 2019 was conducted using PubMed/MEDLINE, Cochrane Library, and EMBASE database. All randomized clinical trials (RCTs) of immuno-oncology therapies on advanced cancer patients reporting PRO data were identified. Descriptive analyses were performed to quantify differences at baseline and over time, by the type of study, regarding questionnaire completion rate and PRO scores.
In total, 23 studies were retained (15 open-label, 8 blinded). At baseline, no difference in completion rate was observed between arms irrespective of trial design (absolute mean difference of 2.8% and 2.2% for open label and blinded studies, respectively). No clinically significant difference in baseline PRO scores was observed between arms. Over time, impact on PRO scores could not be identified due to the limited number of studies, heterogeneity of questionnaires and tumor types.
Trial design had no impact on PRO completion rate or baseline scores. Future research should involve analyses by specific cancer types and ideally compare individual data from two similar RCTs (blinded vs. open-label).
对免疫肿瘤学试验进行系统文献回顾,以评估开放标签与双盲试验设计对患者报告结局(PRO)数据的潜在影响。
使用 PubMed/MEDLINE、Cochrane 图书馆和 EMBASE 数据库,对 2009 年 1 月至 2019 年 5 月发表的索引文献进行了系统搜索。确定了所有报告 PRO 数据的晚期癌症患者免疫肿瘤学治疗的随机临床试验(RCT)。通过研究类型,对问卷完成率和 PRO 评分进行描述性分析,以量化基线和随时间的差异。
共保留了 23 项研究(15 项开放标签,8 项双盲)。在基线时,无论试验设计如何,手臂之间的完成率均无差异(开放标签和双盲研究的绝对平均差异分别为 2.8%和 2.2%)。手臂之间在基线 PRO 评分上没有观察到临床显著差异。由于研究数量有限、问卷和肿瘤类型的异质性,无法确定随时间的 PRO 评分变化。
试验设计对 PRO 完成率或基线评分没有影响。未来的研究应根据特定的癌症类型进行分析,理想情况下应比较两个类似 RCT(双盲与开放标签)的个体数据。