ArticlePharmacoepidemiology and drug safety2019
Performance of a computable phenotype for identification of patients with diabetes within PCORnet: The Patient-Centered Clinical Research Network.
Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Clinical Trial Generalizability Assessment in the Big Data Era: A Review.Clinical and translational science · 2020Pooled it
- Prescribing Trajectories in Type 2 Diabetes in the United States, 2019-2024.Diabetes, obesity & metabolism · 2026Article
- Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems.Learning health systems · 2026Article
- Leveraging PCORnet® to Advance Clinical Genetics and the Genomic Learning Health System.Medical care · 2026Article
- Risk of New-Onset Diabetes Before and During the COVID-19 Pandemic: A Real-World Cohort Study.Journal of general internal medicine · 2025Article
- Re-Think the Strip: de-implementing a low value practice in primary care.BMC primary care · 2025Article
- Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis.International journal of obesity (2005) · 2024Article
- Social determinants of health and newer glucose-lowering drugs adoption among US Medicare beneficiaries with type 2 diabetes.Journal of managed care & specialty pharmacy · 2024Article
- A fair individualized polysocial risk score for identifying increased social risk in type 2 diabetes.Nature communications · 2024Article
- Heterogeneous treatment effects of sodium-glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population-based cohort study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- Rurality, Cardiovascular Risk Factors, and Early Cardiovascular Disease among Childhood, Adolescent, and Young Adult Cancer Survivors.Research square · 2024Article
- Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis.medRxiv : the preprint server for health sciences · 2024Article
- Article
- Scalable and interpretable alternative to chart review for phenotype evaluation using standardized structured data from electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes.Research square · 2023Article
- Trends and opportunities in computable clinical phenotyping: A scoping review.Journal of biomedical informatics · 2023Article
- Impact of Contextual-Level Social Determinants of Health on Newer Antidiabetic Drug Adoption in Patients with Type 2 Diabetes.International journal of environmental research and public health · 2023Article
- Comparison of Sodium-Glucose Cotransporter-2 Inhibitor and Glucagon-Like Peptide-1 Receptor Agonist Prescribing in Patients With Diabetes Mellitus With and Without Cardiovascular Disease.The American journal of cardiology · 2023Article
- Automated Type 2 Diabetes Case and Control Identification from the MIMIC-IV Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
Corrections and comments
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Authors and funding
19 authors at 6 institutions in 1 country.
Funding
Abstract
purposePCORnet, the National Patient-Centered Clinical Research Network, represents an innovative system for the conduct of observational and pragmatic studies. We describe the identification and validation of a retrospective cohort of patients with type 2 diabetes (T2DM) from four PCORnet sites.
methodsWe adapted existing computable phenotypes (CP) for the identification of patients with T2DM and evaluated their performance across four PCORnet sites (2012-2016). Patients entered the cohort on the earliest date they met one of three CP categories: (CP1) coded T2DM diagnosis (ICD-9/ICD-10) and an antidiabetic prescription, (CP2) diagnosis and glycosylated hemoglobin (HbA1c) ≥6.5%, or (CP3) an antidiabetic prescription and HbA1c ≥6.5%. We required evidence of health care utilization in each of the 2 prior years for each patient, as we also developed an incident T2DM CP to identify the subset of patients without documentation of T2DM in the 365 days before t
resultsThe CP identified 50 657 patients with T2DM. The PPV of patients randomly selected for validation was 96.2% (n = 1572; CI:95.1-97.0) and was consistently high across sites. The PPV for the incident-T2DM CP was 5.8% (CI:4.5-7.5).
conclusionsThe T2DM CP accurately and efficiently identified patients with T2DM across multiple sites that participate in PCORnet, although the incident T2DM CP requires further study. PCORnet is a valuable data source for future epidemiological and comparative effectiveness research among patients with T2DM.
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