ArticleCirculation research2018
Omics, Big Data, and Precision Medicine in Cardiovascular Sciences.
Article in Circulation research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Hormonal crossroads of the heart: from classic endocrine regulation to cardiac hormone secretion: an updated review.Journal of endocrinological investigation · 2026Review
- Time and person sensitive foundation model for disease prediction and risk stratification.NPJ digital medicine · 2026Article
- Integration of dilated cardiomyopathy genomics with transcriptomics from the human heart implicates regulatory molecular mechanisms.medRxiv : the preprint server for health sciences · 2026Article
- Personalized Treatment of Patients with Coronary Artery Disease: The Value and Limitations of Predictive Models.Journal of cardiovascular development and disease · 2025Review
- The Big Data Era in Cardiology and Cardiovascular Medicine: Advanced Analytics for Truly Personalized Care.Diagnostics (Basel, Switzerland) · 2025Article
- Research landscape of precision medicine in cardiology.Bioinformation · 2025Article
- Precision Medicine and the future of Cardiovascular Diseases: A Clinically Oriented Comprehensive Review.Journal of clinical medicine · 2023Review
- Big Data in Cardiology: State-of-Art and Future Prospects.Frontiers in cardiovascular medicine · 2022Review
- A Risk-Stratification Machine Learning Framework for the Prediction of Coronary Artery Disease Severity: Insights From the GESS Trial.Frontiers in cardiovascular medicine · 2021Article
- Cardioinformatics: the nexus of bioinformatics and precision cardiology.Briefings in bioinformatics · 2020Article
- The Egyptian Collaborative Cardiac Genomics (ECCO-GEN) Project: defining a healthy volunteer cohort.NPJ genomic medicine · 2020Article
- Cardiopoietic stem cell therapy restores infarction-altered cardiac proteome.NPJ Regenerative medicine · 2020Article
- Basic Cardiovascular Sciences Scientific Sessions 2019: Integrative Approaches to Complex Cardiovascular Diseases.Circulation research · 2019Review
- Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.Methods (San Diego, Calif.) · 2019Article
- Complex heritability in cardiomyopathy.Nature biomedical engineering · 2019Article
- Relevance of Multi-Omics Studies in Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2019Review
- Basic Cardiovascular Sciences Scientific Sessions 2018.Circulation research · 2018Article
- Personalised Medicine: The Odyssey from Hope to Practice.Journal of personalized medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.