ArticleClinical pharmacology and therapeutics2026
Systematic Evaluation of Data and Trial Fitness for Oncology Trial Emulation: Empirical Findings from the CARE Initiative.
Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
43 authors.
Funding
Abstract
The Coalition to Advance Real-World Evidence through Randomized Controlled Trial Emulation (CARE) Initiative seeks to advance understanding of when real-world data (RWD) can generate valid treatment effectiveness estimates by emulating completed oncology randomized controlled trials (RCTs). A prerequisite for meaningful RCT emulation insights is the identification and use of RWD with sufficient fitness to satisfy RCT-specific data elements. We conducted a systematic, multi-stage feasibility assessment of six commercially available US electronic health record-based RWD sources across 23 candidate oncology RCTs. Each potential RCT-RWD combination was first screened for availability of the RCT indication, outcomes, and sample size ≥ 1.5-times enrollment for each trial arm. Combinations passing this screen underwent more detailed evaluation of RCT design elements including eligibility criteria, outcomes, and potential confounders. Each data element was rated with respect to availability, missingness, and validity. Final feasibility determination was informed by ratings of essential element capture and refined sample size estimates. Of 54 candidate RCT-RWD combinations assessed, nine advanced to detailed feasibility assessment and three were selected for emulation protocol development. Fit-for-emulation constraints included complex eligibility criteria, biomarker requirements, performance status requirements, and outcome ascertainment. These findings highlight the importance of systematic feasibility evaluation before conducting emulations and may inform data selection for future RWD studies in oncology. Data fitness for oncology RCT emulation could be improved by linking high-quality, oncology-specific RWD sources to broader EHR and claims data sources or through customized data abstraction.
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