ArticleDrug safety2014
Fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model.
Article in Drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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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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Who cites it
45 citing papers in PubMed.
- Implementation of OMOP and ConcePTION Common Data Models in CPRD GOLD: Risk of Bleeding and Cardiovascular Outcomes From Anticoagulant Use.Clinical pharmacology and therapeutics · 2026Article
- Evaluating the statistical utility and information loss in the transformation of a real-world oncology database from CDISC-SDTM to OMOP-CDM.ESMO real world data and digital oncology · 2026Article
- Economics and Equity of Large Language Models: Health Care Perspective.Journal of medical Internet research · 2024Article
- MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.JAMIA open · 2024Article
- OHDSI Standardized Vocabularies-a large-scale centralized reference ontology for international data harmonization.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- European Health Data & Evidence Network-learnings from building out a standardized international health data network.Journal of the American Medical Informatics Association : JAMIA · 2023Observational
- Advancing Toward a Common Data Model in Ophthalmology: Gap Analysis of General Eye Examination Concepts to Standard Observational Medical Outcomes Partnership (OMOP) Concepts.Ophthalmology science · 2023Article
- MENDS-on-FHIR: Leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.medRxiv : the preprint server for health sciences · 2023Article
- The Stanford Medicine data science ecosystem for clinical and translational research.JAMIA open · 2023Article
- "Take up to eight tablets per day": Incorporating free-text medication instructions into a transparent and reproducible process for preparing drug exposure data for pharmacoepidemiology.Pharmacoepidemiology and drug safety · 2023Article
- Conversion of CPRD AURUM Data into the OMOP Common Data Model.Informatics in medicine unlocked · 2023Article
- Methodological Issues in Using a Common Data Model of COVID-19 Vaccine Uptake and Important Adverse Events of Interest: Feasibility Study of Data and Connectivity COVID-19 Vaccines Pharmacovigilance in the United Kingdom.JMIR formative research · 2022Article
- Hip Fracture Risk After Treatment with Tramadol or Codeine: An Observational Study.Drug safety · 2022Observational
- Development and Validation of the Radiology Common Data Model (R-CDM) for the International Standardization of Medical Imaging Data.Yonsei medical journal · 2022Article
- Real-World Effectiveness of Beta-Blockers versus Other Antihypertensives in Reducing All-Cause Mortality and Cardiovascular Events.International journal of clinical practice · 2022Review
- Article
- Standardizing registry data to the OMOP Common Data Model: experience from three pulmonary hypertension databases.BMC medical research methodology · 2021Article
- Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure.JAMIA open · 2021Article
- A knowledge base of clinical trial eligibility criteria.Journal of biomedical informatics · 2021Article
- Common Problems, Common Data Model Solutions: Evidence Generation for Health Technology Assessment.PharmacoEconomics · 2021Article
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe unique structure and coding of the Clinical Practice Research Datalink (CPRD) presents challenges for epidemiologic analysis and for comparisons with other databases. To address this limitation we sought to transform CPRD into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
methodsAn extraction, transformation and loading process was developed, which detailed source code mappings, Read code domain classification, an imputation algorithm for drug duration and special handling of lifestyle/clinical data. Completeness and accuracy of the above elements were assessed. A final validation exercise involved replication of a published case-control study that examined use of nonsteroidal anti-inflammatory drugs (NSAIDs) and the risk of first-time acute myocardial infarction (AMI) in raw CPRD data and the CPRD CDM.
findingsAll elements of the CPRD CDM transformation were assessed to be of high quality. 99.9 % of database condition records and 89.7 % of database drug records were mapped (majority unmapped drugs were devices and over-the-counter products); 3.1 % of duration imputations were deemed possibly erroneous and prevalences for selected conditions and drugs across CPRD raw and CDM data were equivalent. Results between the replication raw data and CDM study agreed for conditions, demographics and lifestyle data with slight NSAID exposure data loss owing to unmapped drugs.
conclusionCPRD can be accurately transformed into the OMOP CDM with acceptable information loss across drugs, conditions and observations. We determined that for a particular use, case CDM structure was adequate and mappings could be improved but did not substantially change the results of our analysis.
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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.