ArticleJCO clinical cancer informatics2024
Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions.
Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Data Quality-Driven Improvement in Health Care: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Physician- and Practice-Level Variation in Clinical Trial Participation Among Patients With Advanced Cancer.JAMA network open · 2026Article
- Challenges in the measurement and valuation of oncological treatments in Spain: recommendations and call to action.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Characteristics and Future Perspectives of Available Electronic Health Record Databases in Japan.Drugs - real world outcomes · 2026Review
- Primary care physician documentation in oncology electronic health records: prognostic marker or immortal-time bias?ESMO real world data and digital oncology · 2026Article
- Key Real-World Data Management Practices for Registry Evaluation and Quality Assurance.Therapeutic innovation & regulatory science · 2026Article
- Artificial Intelligence in Pharmaceutical Care:Saudi medical journal · 2026Review
- Follow the data: tracking data quality and completeness in oncology real-world data.JAMIA open · 2026Article
- Real-world progression-free survival 2 (PFS2) and tumor response of CDK4/6 inhibitors plus an aromatase inhibitor in patients with HR+/HER2- metastatic breast cancer in US routine clinical practice.Breast (Edinburgh, Scotland) · 2026Observational
- Real-world treatment durations, subsequent treatments, and switching of CDK4/6 inhibitors among patients with HR+/HER2- metastatic breast cancer.The oncologist · 2026Observational
- Maximizing the impact of real-world evidence on cancer treatment: what do we need to achieve it?Journal of comparative effectiveness research · 2026Review
- Beyond Missingness: Systematizing Methods for Comprehensive Data Fitness Assessment in Clinical Research.Journal of medical Internet research · 2026Article
- Design and evaluation of an automated pediatric acute lymphoblastic leukemia registry from clinical data warehouses.BMC medical informatics and decision making · 2026Article
- Twenty-First Century Data Systems: Evolving Cancer Registries to a Learning Health System.Learning health systems · 2026Article
- Diagnostic Documentation and Tumour Marker Availability Across Clinical Pathways in Real-World Gastric Cancer.Diagnostics (Basel, Switzerland) · 2026Article
- Harmonizing Logical Observation Identifiers Names and Codes (LOINC) Codes and Units in Real-World Oncology Data: Method Development and Evaluation.JMIR medical informatics · 2026Article
- Comparative effectiveness of CDK4/6 inhibitors in metastatic breast cancer: using the target trial emulation framework to investigate overall survival in routine care.Breast cancer research and treatment · 2026Article
- Ensuring Reliability of Curated Electronic Health Record-Derived Data: The Validation of Accuracy for Large Language Model-/Machine Learning-Extracted Information and Data (VALID) Framework.JCO clinical cancer informatics · 2026Article
- ShinyEvents: harmonizing longitudinal data for real-world survival estimation.NPJ precision oncology · 2026Article
- Recurrent/metastatic relapse after definitive treatment for HNSCC: timing, patterns, and survival.Frontiers in oncology · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeElectronic health record (EHR)-based real-world data (RWD) are integral to oncology research, and understanding fitness for use is critical for data users. Complexity of data sources and curation methods necessitate transparency into how quality is approached. We describe the application of data quality dimensions in curating EHR-derived oncology RWD.
methodsA targeted review was conducted to summarize data quality dimensions in frameworks published by the European Medicines Agency, The National Institute for Healthcare and Excellence, US Food and Drug Administration, Duke-Margolis Center for Health Policy, and Patient-Centered Outcomes Research Institute. We then characterized quality processes applied to curation of Flatiron Health RWD, which originate from EHRs of a nationwide network of academic and community cancer clinics, across the summarized quality dimensions.
resultsThe primary quality dimensions across frameworks were
conclusionDevelopment of high-quality, scaled, EHR-based RWD requires integration of systematic processes across the data lifecycle. Approaches to quality are optimized through knowledge of data sources, curation processes, and use case needs. By addressing quality dimensions from published frameworks, Flatiron Health RWD enable transparency in determining fitness for real-world evidence generation.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.