Ko Andrew H, Oh Do-Youn, Lau Janet, Mhatre Shivani K, Ci Bo, Machado Robson, Li Shi, Bretscher Michael T, Reyes-Rivera Irmarie, Zhu Jiawen, Zhang Xiaosong, Patel Jilpa, Psioda Matthew A, Ponz-Sarvise Mariano
University of California San Francisco, San Francisco, California, USA.
Seoul National University Hospital, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea.
Clin Pharmacol Ther. 2025 Apr;117(4):1021-1029. doi: 10.1002/cpt.3528. Epub 2024 Dec 20.
Enrolling adequate numbers of patients into the control arm of randomized controlled trials (RCTs) often presents barriers. There is interest in leveraging real-world data (RWD) from electronic health records (EHRs) to construct external control (EC) arms to supplement RCT control arms and form hybrid control (HC) arms. This investigation showed the use of an HC arm in second-line metastatic pancreatic ductal adenocarcinoma (PDAC). The RCT experimental arm (atezolizumab + PEGylated recombinant human hyaluronidase (Atezo + PEGPH20)) was compared with an HC arm consisting of patients treated with modified FOLFOX6 or gemcitabine/nab-paclitaxel from the MORPHEUS PDAC internal control arm supplemented with data from a nationwide EHR-derived de-identified database as the EC arm. The EC arm was constructed by applying key inclusion/exclusion criteria from the MORPHEUS PDAC trial to patients from the real-world cohort. Baseline variables were balanced using propensity score matching and covariate adjustment. Three analysis approaches-Cox model with pooled-control data, Cox model with control arm-specific frailty, and Bayesian analysis using a commensurate prior-were assessed. Overall survival was similar between the treatment arms. The direction and magnitude of hazard ratios (HRs) from the multiple HC analyses (HRs ranged from 1.02 to 1.06) were comparable with the reported trial HR (HR 0.91; 95% CI: 0.56, 1.49). This analysis demonstrates the feasibility and applicability of leveraging RWD in clinical trial design to supplement clinical trial control arms.
在随机对照试验(RCT)的对照组中纳入足够数量的患者往往存在障碍。人们有兴趣利用电子健康记录(EHR)中的真实世界数据(RWD)来构建外部对照(EC)组,以补充RCT对照组并形成混合对照(HC)组。本研究展示了在二线转移性胰腺导管腺癌(PDAC)中使用HC组的情况。将RCT试验组(阿特珠单抗+聚乙二醇化重组人透明质酸酶(阿特珠单抗+PEGPH20))与一个HC组进行比较,该HC组由来自MORPHEUS PDAC内部对照组中接受改良FOLFOX6或吉西他滨/纳米白蛋白结合型紫杉醇治疗的患者组成,并补充来自全国范围内EHR衍生的去识别数据库的数据作为EC组。通过将MORPHEUS PDAC试验的关键纳入/排除标准应用于真实世界队列中的患者来构建EC组。使用倾向得分匹配和协变量调整使基线变量达到平衡。评估了三种分析方法——使用合并对照数据的Cox模型、带有对照组特定脆弱性的Cox模型以及使用相称先验的贝叶斯分析。各治疗组之间的总生存期相似。多次HC分析得出的风险比(HR)的方向和幅度(HR范围为1.02至1.06)与报告的试验HR(HR 0.91;95%CI:0.56,1.49)相当。该分析证明了在临床试验设计中利用RWD补充临床试验对照组的可行性和适用性。