ArticleJCO clinical cancer informatics2020
Improving Cancer Data Interoperability: The Promise of the Minimal Common Oncology Data Elements (mCODE) Initiative.
Article in JCO clinical cancer informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
94 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Safety and usability of oncology information systems - a systematic review.Frontiers in oncology · 2024Pooled it
- Health information technology to support cancer survivorship care planning: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Advancing Patient-Centred AI With Adaptive Machine Learning.Cancer medicine · 2026Review
- Referral delays in metastatic breast cancer care: barriers and facilitators across a fragmented pathway.BMJ open quality · 2026Article
- Integrating Heterogeneous Real-World Cancer Data for Semantic Interoperability in Oncology and Medical Imaging: Development and Validation of the Cancer Image Europe Hyperontology.Journal of medical Internet research · 2026Article
- The GENIE Data Model: A Solid Tumor, Person-Centric Framework for Scalable, Harmonized Precision Oncology Data Collection.Cancer research communications · 2026Article
- Mapping the path to clinical implementation of multi-omics.Nature genetics · 2026Review
- Applications of Artificial Intelligence in Cancer Diagnosis and Treatment.Cancer medicine · 2026Review
- From synoptic to structured reporting: real-world implementation and evaluation of a pathology reporting tool in lung cancer.Virchows Archiv : an international journal of pathology · 2026Article
- Follow the data: tracking data quality and completeness in oncology real-world data.JAMIA open · 2026Article
- Data harmonization processes of cancer data into the observational medical outcomes partnership common data model.Scientific reports · 2026Article
- Research on zoledronic acid's synergistic improvement of intervertebral disc degeneration and osteoporosis by regulating inflammation matrix microenvironment.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Twenty-First Century Data Systems: Evolving Cancer Registries to a Learning Health System.Learning health systems · 2026Article
- Assessment of the adequacy of the Fast Healthcare Interoperability Resources (FHIR) Genomics standard for the representation of somatic testing reports.JAMIA open · 2026Article
- Federation, not centralization: a new paradigm for electronic health record-based critical care research.Annals of the American Thoracic Society · 2026Article
- Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.Journal of hematology & oncology · 2026Review
- Analysis of Alternative Splicing Events in Melanoma and the Implications for Prognosis.Current molecular medicine · 2026Article
- Completeness of Common Data Elements for Breast Cancer Clinical Trials in Observational Databases.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Review
- FHIR Standard-Based Oncology Data Model for Cancer Screening: Design and Implementation Study.JMIR cancer · 2025Article
34 more citing papers are in PubMed but not listed here.
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3 authors.
Funding
Abstract
purposeBecause of expanding interoperability requirements, structured patient data are increasingly available in electronic health records. Many oncology data elements (eg, staging, biomarkers, documentation of adverse events and cancer outcomes) remain challenging. The Minimal Common Oncology Data Elements (mCODE) project is a consensus data standard created to facilitate transmission of data of patients with cancer.
methodsIn 2018, mCODE was developed through a work group convened by ASCO, including oncologists, informaticians, researchers, and experts in terminologies and standards. The mCODE specification is organized by 6 high-level domains: patient, laboratory/vital, disease, genomics, treatment, and outcome. In total, 23 mCODE profiles are composed of 90 data elements.
resultsA conceptual model was published for public comment in January 2019 and, after additional refinement, the first public version of the mCODE (version 0.9.1) Fast Healthcare Interoperability Resources (FHIR) implementation guide (IG) was presented at the ASCO Annual Meeting in June 2019. The specification was approved for balloting by Health Level 7 International (HL7) in August 2019. mCODE passed the HL7 ballot in September 2019 with 86.5% approval. The mCODE IG authors worked with HL7 reviewers to resolve all negative comments, leading to a modest expansion in the number of data elements and tighter alignment with FHIR and other HL7 conventions. The mCODE version 1.0 FHIR IG Standard for Trial Use was formally published on March 18, 2020.
conclusionThe mCODE project has the potential to offer tremendous benefits to cancer care delivery and research by creating an infrastructure to better share patient data. mCODE is available free from www.mCODEinitiative.org. Pilot implementations are underway, and a robust community of stakeholders has been assembled across the oncology ecosystem.
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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.