ArticleJournal of the American Medical Informatics Association : JAMIA2022
Curating a longitudinal research resource using linked primary care EHR data-a UK Biobank case study.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Long-Term Cardiovascular Risks of Anticholinergic Versus Non-Anticholinergic Antidepressants: A Target Trial Emulation With Negative Control Correction.Pharmacoepidemiology and drug safety · 2026Article
- Beyond data and technology: the need for new thinking to enable the era of precision prevention.BMC medicine · 2026Review
- Healthy lifestyle, metabolomic signature, and risk of late-onset schizophrenia: evidence from the prospective cohort.Schizophrenia (Heidelberg, Germany) · 2026Article
- The heterogeneous treatment effects of statins on dementia: a target trial emulation with causal machine learning using integrated genetic and real-world data.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Biobanking of gynecologic cancer biospecimens: Development, quality control, and translational applications.PloS one · 2026Article
- A simulation study comparing anticholinergic drug use with polypharmacy for risk of death, dementia, and delirium in UK Biobank.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Development of a big data platform for collecting and utilizing clinical information from the Korea Biobank Network.BMC medical informatics and decision making · 2025Article
- Article
- Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.Frontiers in endocrinology · 2025Article
- MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease.Nature communications · 2024Article
- MSGene: Derivation and validation of a multistate model for lifetime risk of coronary artery disease using genetic risk and the electronic health record.medRxiv : the preprint server for health sciences · 2023Article
- Genome mining yields putative disease-associated ROMK variants with distinct defects.PLoS genetics · 2023Article
- Ranking age-specific modifiable risk factors for cardiovascular disease and mortality: evidence from a population-based longitudinal study.EClinicalMedicine · 2023Article
- Improving Cohort-Hospital Matching Accuracy through Standardization and Validation of Participant Identifiable Information.Children (Basel, Switzerland) · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Primary care EHR data are often of clinical importance to cohort studies however they require careful handling. Challenges include determining the periods during which EHR data were collected. Participants are typically censored when they deregister from a medical practice, however, cohort studies wish to follow participants longitudinally including those that change practice. Using UK Biobank as an exemplar, we developed methodology to infer continuous periods of data collection and maximize follow-up in longitudinal studies. This resulted in longer follow-up for around 40% of participants with multiple registration records (mean increase of 3.8 years from the first study visit). The approach did not sacrifice phenotyping accuracy when comparing agreement between self-reported and EHR data. A diabetes mellitus case study illustrates how the algorithm supports longitudinal study design and provides further validation. We use UK Biobank data, however, the tools provided can be used for other conditions and studies with minimal alteration.
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