ArticleCirculation. Cardiovascular genetics2016
Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.
Article in Circulation. Cardiovascular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional Requirements for Medical Data Integration into Knowledge Management Environments: Requirements Elicitation Approach Based on Systematic Literature Analysis.Journal of medical Internet research · 2023Pooled it
- Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.Computers in biology and medicine · 2026Article
- Data Fusion for Partial Identification of Causal Effects.Advances in neural information processing systems · 2025Article
- Cardiovascular Care Innovation through Data-Driven Discoveries in the Electronic Health Record.The American journal of cardiology · 2023Review
- Article
- Harnessing Electronic Medical Records in Cardiovascular Clinical Practice and Research.Journal of cardiovascular translational research · 2023Review
- AI-based language models powering drug discovery and development.Drug discovery today · 2021Review
- Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens' Engagement in Research Through eHealthBioR.Frontiers in digital health · 2021Article
- Using the electronic health record for genomics research.Current opinion in lipidology · 2020Review
- Healthcare Associated Infections: An Interoperable Infrastructure for Multidrug Resistant Organism Surveillance.International journal of environmental research and public health · 2020Article
- Integrating Genetic Data into Electronic Health Records: Medical Geneticists' Perspectives.Healthcare informatics research · 2019Article
- Characterization of Statin Low-Density Lipoprotein Cholesterol Dose-Response Using Electronic Health Records in a Large Population-Based Cohort.Circulation. Genomic and precision medicine · 2018Article
- Priorities for Cardiovascular Outcomes Research: A Report of the National Heart, Lung, and Blood Institute's Centers for Cardiovascular Outcomes Research Working Group.Circulation. Cardiovascular quality and outcomes · 2017Article
- Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Precision medicine in cardiology.Nature reviews. Cardiology · 2016Review
- The emerging role of epigenetics in pulmonary arterial hypertension: an important avenue for clinical trials (2015 Grover Conference Series).Pulmonary circulation · 2016Review
- The Future of Cardiovascular Epidemiology.Circulation · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
The process of scientific discovery is rapidly evolving. The funding climate has influenced a favorable shift in scientific discovery toward the use of existing resources such as the electronic health record. The electronic health record enables long-term outlooks on human health and disease, in conjunction with multidimensional phenotypes that include laboratory data, images, vital signs, and other clinical information. Initial work has confirmed the utility of the electronic health record for understanding mechanisms and patterns of variability in disease susceptibility, disease evolution, and drug responses. The addition of biobanks and genomic data to the information contained in the electronic health record has been demonstrated. The purpose of this statement is to discuss the current challenges in and the potential for merging electronic health record data and genomics for cardiovascular research.
Indexed as
Identifiers
What 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.