ReviewCurrent cardiology reports2014
Biomarkers of coronary artery disease: the promise of the transcriptome.
Review in Current cardiology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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
16 citing papers in PubMed.
- Biomarkers for Premature Coronary Artery Disease (PCAD): A Case Control Study.Diagnostics (Basel, Switzerland) · 2023Article
- Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease.Iranian journal of public health · 2022Article
- A Novel Integrated Biomarker for Evaluation of Risk and Severity of Coronary Atherosclerosis, and Its Validation.Journal of personalized medicine · 2022Article
- External validation of integrated genetic-epigenetic biomarkers for predicting incident coronary heart disease.Epigenomics · 2021Article
- Angiopoietin 2 as a Novel Potential Biomarker for Acute Aortic Dissection.Frontiers in cardiovascular medicine · 2021Article
- Bioinformatics analysis identifies potential diagnostic signatures for coronary artery disease.The Journal of international medical research · 2020Article
- Biomarkers for Heart Failure Prognosis: Proteins, Genetic Scores and Non-coding RNAs.Frontiers in cardiovascular medicine · 2020Review
- Differential expression of circulating long non-coding RNAs in patients with acute myocardial infarction.Medicine · 2018Article
- An integrated approach to coronary heart disease diagnosis and clinical management.American journal of translational research · 2017Review
- Early detection of myocardial infarction-microRNAs right at the time?Annals of translational medicine · 2016Article
- Advances in Integrating Traditional and Omic Biomarkers When Analyzing the Effects of the Mediterranean Diet Intervention in Cardiovascular Prevention.International journal of molecular sciences · 2016Review
- The relationship of the oleic acid level and ECHDC3 mRNA expression with the extent of coronary lesion.Lipids in health and disease · 2016Article
- Prognostic biomarkers in acute coronary syndrome.Annals of translational medicine · 2016Review
- Systems Biology and Noninvasive Imaging of Atherosclerosis.Arteriosclerosis, thrombosis, and vascular biology · 2016Review
- Systems Medicine as an Emerging Tool for Cardiovascular Genetics.Frontiers in cardiovascular medicine · 2016Review
- microRNA-based diagnostics and therapy in cardiovascular disease-Summing up the facts.Cardiovascular diagnosis and therapy · 2015Review
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
No grant is acknowledged in the PubMed record.
Abstract
The last years have witnessed tremendous technical advances in the field of transcriptomics that enable the simultaneous assessment of nearly all transcripts expressed in a tissue at a given time. These advances harbor the potential to gain a better understanding of the complex biological systems and for the identification and development of novel biomarkers. This article will review the current knowledge of transcriptomics biomarkers in the cardiovascular field and will provide an overview about the promises and challenges of the transcriptomics approach for biomarker identification.
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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.