LEVERAGING REAL-WORLD DATA TO INFORM COMPARATIVE EFFICACY WITHIN SINGLE-ARM TRIAL-BASED C2H EVALUATIONS OF ONCOLOGY DRUGS...
Author(s)
Sherry Wu, MPH, Eileen Zhang, MS, Denise Zou, MS, Thitima Kongnakorn, ..
Thermo Fisher Scientific, Wilmington, NC, USA.
Thermo Fisher Scientific, Wilmington, NC, USA.
OBJECTIVES: Single-arm trials (SATs) have been increasingly used to support oncology health economic assessments (HTAs) worldwide. Due to the lack of head-to-head comparisons in SATs, real-world data (RWD) serve as a pragmatic option to inform comparative efficacy and are accepted by the Center for Outcomes Research and Economic Evaluation for Health (C2H) guidelines as a potential source of evidence. This study assessed SAT-based oncology submissions in past C2H evaluations, their approaches to generating comparative evidence, and the use of RWD.
METHODS: C2H cost-effectiveness evaluations from April 2019 to May 2026 were reviewed to identify oncology submissions based solely on SATs. Full-text screening of the Summary Reports was performed by one investigator, and data extraction was validated by a second investigator. Information on the comparator data source, indirect treatment comparison (ITC) approach, and review commentaries was collected for the analysis.
RESULTS: Of the 75 evaluations identified, 46 were completed, and 12 focused on oncology treatments across 19 distinct indications. Of these, 37% (7/19) relied on SATs for clinical evidence, and all used suboptimal external trials to derive comparative efficacy. Among SAT-based evaluations, ITCs using individual patient-level data (IPD) or pseudo-IPD from external trials were generally preferred (90%) over naive comparisons against aggregated data. Only one evaluation adopted RWD from a domestic registry through an unanchored matching-adjusted indirect comparison (MAIC). ITC approaches, including MAIC, naïve comparison, and network meta-analysis, were employed to generate comparative efficacy. Although the review committee generally accepted ITC evidence submitted in SAT-based evaluations, there were concerns regarding the high uncertainty associated with comparative evidence derived from external trials, given the nature of the SAT design.
CONCLUSIONS: External trials were used as primary evidence for SAT-based C2H oncology submissions but were subject to uncertainty for comparative efficacy outcomes. Potentially, RWD can serve as an alternative to suboptimal trials in future evaluations.
METHODS: C2H cost-effectiveness evaluations from April 2019 to May 2026 were reviewed to identify oncology submissions based solely on SATs. Full-text screening of the Summary Reports was performed by one investigator, and data extraction was validated by a second investigator. Information on the comparator data source, indirect treatment comparison (ITC) approach, and review commentaries was collected for the analysis.
RESULTS: Of the 75 evaluations identified, 46 were completed, and 12 focused on oncology treatments across 19 distinct indications. Of these, 37% (7/19) relied on SATs for clinical evidence, and all used suboptimal external trials to derive comparative efficacy. Among SAT-based evaluations, ITCs using individual patient-level data (IPD) or pseudo-IPD from external trials were generally preferred (90%) over naive comparisons against aggregated data. Only one evaluation adopted RWD from a domestic registry through an unanchored matching-adjusted indirect comparison (MAIC). ITC approaches, including MAIC, naïve comparison, and network meta-analysis, were employed to generate comparative efficacy. Although the review committee generally accepted ITC evidence submitted in SAT-based evaluations, there were concerns regarding the high uncertainty associated with comparative evidence derived from external trials, given the nature of the SAT design.
CONCLUSIONS: External trials were used as primary evidence for SAT-based C2H oncology submissions but were subject to uncertainty for comparative efficacy outcomes. Potentially, RWD can serve as an alternative to suboptimal trials in future evaluations.
Conference/Value in Health Info
2026-09, ISPOR Asia Pacific 2026, Bangkok, Thailand
Value in Health, Volume 55, Issue S1
Code
HTA32
Topic
Health Technology Assessment
Topic Subcategory
Decision & Deliberative Processes
Disease
SDC: Oncology