ArticleJournal of clinical bioinformatics2014
Extraction of echocardiographic data from the electronic medical record is a rapid and efficient method for study of cardiac structure and function.
Article in Journal of clinical bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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.
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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
26 citing papers in PubMed.
- Incidence and Clinical Associations With Phenotypic Drift From Pulmonary Arterial Hypertension to Combined Precapillary and Postcapillary Pulmonary Hypertension.CHEST pulmonary · 2025Article
- Large open access database of echocardiogram reports in intensive care unit patients.Scientific data · 2025Article
- Incidence of Right Ventricular Dysfunction in an Echocardiographic Referral Cohort.Journal of the American Heart Association · 2025Article
- Incidence of Pulmonary Hypertension in the Echocardiography Referral Population.Annals of the American Thoracic Society · 2025Article
- WeChat assisted electronic symptom measurement for patients with adenomyosis.BMC medical informatics and decision making · 2024Article
- Cardiometabolic Risk Factors Associated With Right Ventricular Function and Compensation in Patients Referred for Echocardiography.Journal of the American Heart Association · 2023Article
- Clinical features do not identify risk of progression from isolated postcapillary pulmonary hypertension to combined pre- and postcapillary pulmonary hypertension.Pulmonary circulation · 2023Article
- Clinical insights into pulmonary hypertension in chronic obstructive pulmonary disease.Pulmonary circulation · 2022Article
- Heart failure clinical care analysis uncovers risk reduction opportunities for preserved ejection fraction subtype.Scientific reports · 2021Article
- Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.Gastrointestinal endoscopy · 2021Article
- Article
- Characterisation of aortic stenosis severity: a retrospective analysis of echocardiography reports in a clinical laboratory.Open heart · 2020Article
- Association of Mild Echocardiographic Pulmonary Hypertension With Mortality and Right Ventricular Function.JAMA cardiology · 2019Article
- Unbiased Phenome-Wide Association Studies of Red Cell Distribution Width Identifies Key Associations with Pulmonary Hypertension.Annals of the American Thoracic Society · 2019Article
- Lack of a Tricuspid Regurgitation Doppler Signal and Pulmonary Hypertension by Invasive Measurement.Journal of the American Heart Association · 2018Article
- B-Type Natriuretic Peptide Levels and Mortality in Patients With and Without Heart Failure.Journal of the American College of Cardiology · 2018Article
- Prognostic Effect and Longitudinal Hemodynamic Assessment of Borderline Pulmonary Hypertension.JAMA cardiology · 2017Article
- Extracting autism spectrum disorder data from the electronic health record.Applied clinical informatics · 2017Article
- Unlocking echocardiogram measurements for heart disease research through natural language processing.BMC cardiovascular disorders · 2017Observational
- Clinical and Biological Insights Into Combined Post- and Pre-Capillary Pulmonary Hypertension.Journal of the American College of Cardiology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundMeasures of cardiac structure and function are important human phenotypes that are associated with a range of clinical outcomes. Studying these traits in large populations can be time consuming and costly. Utilizing data from large electronic medical records (EMRs) is one possible solution to this problem. We describe the extraction and filtering of quantitative transthoracic echocardiographic data from the Epidemiologic Architecture for Genes Linked to Environment (EAGLE) study, a large, racially diverse, EMR-based cohort (n = 15,863).
resultsThere were 6,076 echocardiography reports for 2,834 unique adult subjects. Missing data were uncommon with over 90% of data points present. Data irregularities are primarily related to inconsistent use of measurement units and transcriptional errors. The reported filtering method requires manual review of very few data points (<1%), and filtered echocardiographic parameters are similar to published data from epidemiologic populations of similar ethnicity. Moreover, the cohort is comparable in size, and in some cases larger than community-based cohorts of similar race/ethnicity.
conclusionsThese results demonstrate that echocardiographic data can be efficiently extracted from EMRs, and suggest that EMR-based cohorts have the potential to make major contributions toward the study of epidemiologic and genotype-phenotype associations for cardiac structure and function in diverse populations.
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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.