ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2014
Creation and Validation of an EMR-based Algorithm for Identifying Major Adverse Cardiac Events while on Statins.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins.Circulation · 2018 · on this mapPooled it
- Risk of Coronary Artery Disease Associated With Transitions in Metabolic Health in a Clinical Cohort of 69 272.Journal of the American Heart Association · 2025Article
- Risk of Major Adverse Cardiovascular Events Following Nicotinamide Exposure.JAMA dermatology · 2025Article
- Biomedical literature-based clinical phenotype definition discovery using large language models.Database : the journal of biological databases and curation · 2025Article
- Impact of metabolic and weight components on incident asthma using a real-world cohort.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2024Article
- No Increased Risk of Major Adverse Cardiovascular Events following Nicotinamide Exposure.medRxiv : the preprint server for health sciences · 2024Article
- Using electronic health records for clinical pharmacology research: Challenges and considerations.Clinical and translational science · 2024Review
- DIAGNOSING PHYSICIAN ERROR: A MACHINE LEARNING APPROACH TO LOW-VALUE HEALTH CARE.The quarterly journal of economics · 2022Article
- Influence of Receptor Polymorphisms on the Response to α-Adrenergic Receptor Blockers in Pheochromocytoma Patients.Biomedicines · 2022Article
- Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): A New Research Algorithm for Deployment in Large-Scale Electronic Health Record Systems.Journal of speech, language, and hearing research : JSLHR · 2020Article
- Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups.American journal of human genetics · 2020Article
- Validation of algorithms to identify elective percutaneous coronary interventions in administrative databases.PloS one · 2020Article
- Review
- Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Extracting research-quality phenotypes from electronic health records to support precision medicine.Genome medicine · 2015Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Statin medications are often prescribed to ameliorate a patient's risk of cardiovascular events due in part to cholesterol reduction. We developed and evaluated an algorithm that can accurately identify subjects with major adverse cardiac events (MACE) while on statins using electronic medical record (EMR) data. The algorithm also identifies subjects experiencing their first MACE while on statins for primary prevention. The algorithm achieved 90% to 97% PPVs in identification of MACE cases as compared against physician review. By applying the algorithm to EMR data in BioVU, cases and controls were identified and used subsequently to replicate known associations with eight genetic variants. We replicated 6/8 previously reported genetic associations with cardiovascular diseases or lipid metabolism disorders. Our results demonstrated that the algorithm can be used to accurately identify subjects with MACE and MACE while on statins. Consequently, future e studies can be conducted to investigate and validate the relationship between statins and MACE using real-world clinical data.
Identifiers
25717410PMC4333709What OpenQuestion holds
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.