ArticleNPJ digital medicine2025
A scoping review of OMOP CDM adoption for cancer research using real world data.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Costs and cost-effectiveness of robotic-assisted surgery in South Korea: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Bridging Gaps in Standards for the Secondary Use of Health Data: Exploratory Standard, Tool Assessment, and Feasibility Study.JMIR formative research · 2026Article
- The GENIE Data Model: A Solid Tumor, Person-Centric Framework for Scalable, Harmonized Precision Oncology Data Collection.Cancer research communications · 2026Article
- OntoCodex: a multi-agent biomedical ontology enrichment framework.npj health systems · 2026Article
- Preoperative predictors of occult central lymph node metastasis in clinically node-negative papillary thyroid carcinoma: a common data model-based retrospective cohort study.Annals of surgical treatment and research · 2026Article
- Beyond classical models: LLM-driven survival analysis for breast cancer prognosis using European cancer registry data.BMC medical informatics and decision making · 2026Article
- Extending the Observational Medical Outcomes Partnership Common Data Model to Support Observational Peripheral Vascular Disease Research.The Journal of surgical research · 2026Observational
- Data harmonization processes of cancer data into the observational medical outcomes partnership common data model.Scientific reports · 2026Article
- Toward scalable early cancer detection: evaluating EHR-based predictive models against traditional screening criteria.NPJ precision oncology · 2026Article
- Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems.Learning health systems · 2026Article
- Changes in postoperative pneumonia incidence after the pandemic: a retrospective observational study using a common data model.Anesthesia and pain medicine · 2026Article
- Extended Grammar of Systematized Nomenclature of Medicine - Clinical Terms for Semantic Representation of Clinical Data: Methodological Study.Journal of medical Internet research · 2026Article
- Article
- Harmonizing patient health data into the OMOP common data model: a case study using tuberculosis data from Douala General Hospital, Cameroon.Frontiers in digital health · 2026Article
- ArcMAP - ML assisted medical concept mapping to accelerate NHS data standardization.Frontiers in digital health · 2026Article
- New horizons at the interface of artificial intelligence and translational cancer research.Cancer cell · 2025Review
- Optimizing data linkage for maximizing the potential of Luxembourg's national cancer registry: a comprehensive scoping review.Frontiers in oncology · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) supports large-scale research by enabling distributed network analyses. However, the breadth of its adoption in cancer research is not well understood. We conducted a scoping review to describe the adoption of the OMOP CDM in cancer research. A total of 49 unique articles were included in the review, with 30 on the data analysis theme, and 20 on the infrastructure theme. This review highlighted that while the OMOP CDM ecosystem has enabled successful data support for cancer research, particularly for collaborative studies, ongoing model development and iterative improvement remain needed to fulfill additional research data needs. Expanding disease sites, specifically for rare cancers, integrating more diverse types of data sources, improving data quality, adopting advanced analytics methodology, and increasing multisite evaluations serve as important opportunities to facilitate secondary usage of observational data in future cancer research.
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Registered trials
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.