Generating Real-World Tumor Burden Endpoints from Electronic Health Record Data: Comparison of RECIST, Radiology-Anchored, and Clinician-Anchored Approaches for Abstracting Real-World Progression in Non-Small Cell Lung Cancer
Autor: | Bryan Bowser, Deborah Schrag, Che-Hsu Joe Chang, Rebecca A. Miksad, Geoffrey Calkins, Ellie Guardino, Sandra D. Griffith, Sean Khozin, Josh Kraut, Melisa Tucker, Paul You |
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Rok vydání: | 2019 |
Předmět: |
PD-L1
Real-world evidence medicine.medical_specialty business.industry Cancer Retrospective cohort study Context (language use) General Medicine medicine.disease Missing data Confidence interval Clinical trial Response Evaluation Criteria in Solid Tumors PD-1 Endpoints medicine Pharmacology (medical) Immunotherapy Radiology Lung cancer business Carcinoma non-small cell lung Original Research |
Zdroj: | Advances in Therapy |
ISSN: | 1865-8652 0741-238X |
DOI: | 10.1007/s12325-019-00970-1 |
Popis: | Introduction Real-world evidence derived from electronic health records (EHRs) is increasingly recognized as a supplement to evidence generated from traditional clinical trials. In oncology, tumor-based Response Evaluation Criteria in Solid Tumors (RECIST) endpoints are standard clinical trial metrics. The best approach for collecting similar endpoints from EHRs remains unknown. We evaluated the feasibility of a RECIST-based methodology to assess EHR-derived real-world progression (rwP) and explored non-RECIST-based approaches. Methods In this retrospective study, cohorts were randomly selected from Flatiron Health’s database of de-identified patient-level EHR data in advanced non-small cell lung cancer. A RECIST-based approach tested for feasibility (N = 26). Three non-RECIST approaches were tested for feasibility, reliability, and validity (N = 200): (1) radiology-anchored, (2) clinician-anchored, and (3) combined. Qualitative and quantitative methods were used. Results A RECIST-based approach was not feasible: cancer progression could be ascertained for 23% (6/26 patients). Radiology- and clinician-anchored approaches identified at least one rwP event for 87% (173/200 patients). rwP dates matched 90% of the time. In 72% of patients (124/173), the first clinician-anchored rwP event was accompanied by a downstream event (e.g., treatment change); the association was slightly lower for the radiology-anchored approach (67%; 121/180). Median overall survival (OS) was 17 months [95% confidence interval (CI) 14, 19]. Median real-world progression-free survival (rwPFS) was 5.5 months (95% CI 4.6, 6.3) and 4.9 months (95% CI 4.2, 5.6) for clinician-anchored and radiology-anchored approaches, respectively. Correlations between rwPFS and OS were similar across approaches (Spearman’s rho 0.65–0.66). Abstractors preferred the clinician-anchored approach as it provided more comprehensive context. Conclusions RECIST cannot adequately assess cancer progression in EHR-derived data because of missing data and lack of clarity in radiology reports. We found a clinician-anchored approach supported by radiology report data to be the optimal, and most practical, method for characterizing tumor-based endpoints from EHR-sourced data. Funding Flatiron Health Inc., which is an independent subsidiary of the Roche group. Electronic supplementary material The online version of this article (10.1007/s12325-019-00970-1) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
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