ArticleJournal of the American Medical Informatics Association : JAMIA2018
Effect of vocabulary mapping for conditions on phenotype cohorts.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 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
35 citing papers in PubMed.
- Association of Statin Use with Reduced Primary Liver Cancer Risk, Independent of Age and Cirrhosis Protection in MASLD.Cancers · 2026Article
- GWAS for Periodontitis Phenotypes Using Multi-Ancestry All of Us Research Platform.medRxiv : the preprint server for health sciences · 2025Article
- Evaluation and Regulation of Artificial Intelligence Medical Devices for Clinical Decision Support.Annual review of biomedical data science · 2025Review
- Digital Phenotyping of Rare Endocrine Diseases Across International Data Networks and the Effect of Granularity of Original Vocabulary.Yonsei medical journal · 2025Article
- Leveraging SNOMED CT for patient cohort identification over heterogeneous EHR data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- 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
- Evaluating MedDRA-to-ICD terminology mappings.BMC medical informatics and decision making · 2024Article
- Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network.JAMIA open · 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
- Causal feature selection using a knowledge graph combining structured knowledge from the biomedical literature and ontologies: A use case studying depression as a risk factor for Alzheimer's disease.Journal of biomedical informatics · 2023Article
- Effectiveness of the Use of Standardized Vocabularies on Epilepsy Patient Cohort Generation.Healthcare informatics research · 2022Article
- Comparing medical history data derived from electronic health records and survey answers in the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations.NPJ digital medicine · 2022Article
- Phenotyping in distributed data networks: selecting the right codes for the right patients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Treatment patterns of patients diagnosed with major depressive disorder and suicidal ideation or attempt: a U.S. population-based study utilizing real-world data.BMC psychiatry · 2021Article
- Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules.Journal of gastroenterology and hepatology · 2021Article
- Using computable knowledge mined from the literature to elucidate confounders for EHR-based pharmacovigilance.Journal of biomedical informatics · 2021Article
- Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods.BioData mining · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Objective: To study the effect on patient cohorts of mapping condition (diagnosis) codes from source billing vocabularies to a clinical vocabulary. Materials and Methods: Nine International Classification of Diseases, Ninth Revision, Clinical Modification (ICD9-CM) concept sets were extracted from eMERGE network phenotypes, translated to Systematized Nomenclature of Medicine - Clinical Terms concept sets, and applied to patient data that were mapped from source ICD9-CM and ICD10-CM codes to Systematized Nomenclature of Medicine - Clinical Terms codes using Observational Health Data Sciences and Informatics (OHDSI) Observational Medical Outcomes Partnership (OMOP) vocabulary mappings. The original ICD9-CM concept set and a concept set extended to ICD10-CM were used to create patient cohorts that served as gold standards. Results: Four phenotype concept sets were able to be translated to Systematized Nomenclature of Medicine - Clinical Terms without ambiguities and were able to perform perfectly with respect to the gold standards. The other 5 lost performance when 2 or more ICD9-CM or ICD10-CM codes mapped to the same Systematized Nomenclature of Medicine - Clinical Terms code. The patient cohorts had a total error (false positive and false negative) of up to 0.15% compared to querying ICD9-CM source data and up to 0.26% compared to querying ICD9-CM and ICD10-CM data. Knowledge engineering was required to produce that performance; simple automated methods to generate concept sets had errors up to 10% (one outlier at 250%). Discussion: The translation of data from source vocabularies to Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) resulted in very small error rates that were an order of magnitude smaller than other error sources. Conclusion: It appears possible to map diagnoses from disparate vocabularies to a single clinical vocabulary and carry out research using a single set of definitions, thus improving efficiency and transportability of 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.