ArticleLancet (London, England)2012
Systems biology and cardiac arrhythmias.
Article in Lancet (London, England), 2012. 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.
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Who cites it
16 citing papers in PubMed.
- Trial
- Rare-variant collapsing and bioinformatic analyses for different types of cardiac arrhythmias in the UK Biobank reveal novel susceptibility loci and candidate amyloid-forming proteins.Cardiovascular digital health journal · 2024Article
- Countermeasures for Maintaining Cardiovascular Health in Space Missions.Current cardiology reviews · 2023Article
- Analysis of Anti-Arrhythmic Impacts of Crocin through Estimation of Expression of Cx43 in Myocardial Infarction Using a Rat Animal Model.ACS omega · 2022Article
- Critical Requirements for the Initiation of a Cardiac Arrhythmia in Rat Ventricle: How Many Myocytes?Cells · 2022Article
- Heat shock protein 60 and cardiovascular diseases: An intricate love-hate story.Medicinal research reviews · 2021Review
- Circulating miRNA-29b and Sclerostin Levels Correlate with Coronary Artery Calcification and Cardiovascular Events in Maintenance Hemodialysis Patients.Cardiology research and practice · 2021Article
- Long-term spaceflight and the cardiovascular system.Precision clinical medicine · 2020Article
- Gene and Protein Expression Profile of Selected Molecular Targets Mediating Electrophysiological Function inInternational journal of molecular sciences · 2018Article
- Review
- Effective Patient Care in a Data-Driven World.Arrhythmia & electrophysiology review · 2017Article
- A Path to Implement Precision Child Health Cardiovascular Medicine.Frontiers in cardiovascular medicine · 2017Review
- Novel Computational Analysis of Left Atrial Anatomy Improves Prediction of Atrial Fibrillation Recurrence after Ablation.Frontiers in physiology · 2017Article
- Sex hormonal regulation of cardiac ion channels in drug-induced QT syndromes.Pharmacology & therapeutics · 2016Review
- Clinical Electrophysiology and Precision Medicine Initiatives.Arrhythmia & electrophysiology review · 2015Article
- Quantifying the origins of population variability in cardiac electrical activity through sensitivity analysis of the electrocardiogram.The Journal of physiology · 2013Article
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
During the past few years, the development of effective, empirical technologies for treatment of cardiac arrhythmias has exceeded the pace at which detailed knowledge of the underlying biology has accumulated. As a result, although some clinical arrhythmias can be cured with techniques such as catheter ablation, drug treatment and prediction of the risk of sudden death remain fairly primitive. The identification of key candidate genes for monogenic arrhythmia syndromes shows that to bring basic biology to the clinic is a powerful approach. Increasingly sophisticated experimental models and methods of measurement, including stem cell-based models of human cardiac arrhythmias, are being deployed to study how perturbations in several biologic pathways can result in an arrhythmia-prone heart. The biology of arrhythmia is largely quantifiable, which allows for systematic analysis that could transform treatment strategies that are often still empirical into management based on molecular evidence.
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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.