ReviewFrontiers in physiology2014
Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach.
Review in Frontiers in physiology, 2014. 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.
- Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance Imaging.Current cardiology reports · 2020Review
- Connexin43 expression in bone marrow derived cells contributes to the electrophysiological properties of cardiac scar tissue.Scientific reports · 2020Article
- Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia.Frontiers in physiology · 2019Article
- Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.Computers in biology and medicine · 2018Article
- Arrhythmogenicity of fibro-fatty infiltrations.Scientific reports · 2018Article
- Dispersion of Recovery and Vulnerability to Re-entry in a Model of Human Atrial Tissue With Simulated Diffuse and Focal Patterns of Fibrosis.Frontiers in physiology · 2018Article
- Atrial Rotor Dynamics Under Complex Fractional Order Diffusion.Frontiers in physiology · 2018Article
- Virtual cardiac monolayers for electrical wave propagation.Scientific reports · 2017Article
- Fibrosis and Atrial Fibrillation: Computerized and Optical Mapping; A View into the Human Atria at Submillimeter Resolution.JACC. Clinical electrophysiology · 2017Review
- Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2016Review
- Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Annals of biomedical engineering · 2016Article
- Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology.IEEE transactions on medical imaging · 2016Article
- How computer simulations of the human heart can improve anti-arrhythmia therapy.The Journal of physiology · 2016Review
- Predicting the risk of sudden cardiac death.The Journal of physiology · 2016Review
- Effects of Heterogeneous Diffuse Fibrosis on Arrhythmia Dynamics and Mechanism.Scientific reports · 2016Article
- Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications.Clinical Medicine Insights. Cardiology · 2016Review
- Optimization of catheter ablation of atrial fibrillation: insights gained from clinically-derived computer models.International journal of molecular sciences · 2015Review
- Editorial: Cardiac electronic remodeling and susceptibility to arrhythmias: an introduction and brief historical overview.Frontiers in physiology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Under diseased conditions, remodeling of the cardiac tissue properties ("passive properties") takes place; these are aspects of electrophysiological behavior that are not associated with active ion transport across cell membranes. Remodeling of the passive electrophysiological properties most often results from structural remodeling, such as gap junction down-regulation and lateralization, fibrotic growth infiltrating the myocardium, or the development of an infarct scar. Such structural remodeling renders atrial or ventricular tissue as a major substrate for arrhythmias. The current review focuses on these aspects of cardiac arrhythmogenesis. Due to the inherent complexity of cardiac arrhythmias, computer simulations have provided means to elucidate interactions pertinent to this spatial scale. Here we review the current state-of-the-art in modeling atrial and ventricular arrhythmogenesis as arising from the disease-induced changes in the passive tissue properties, as well as the contributions these modeling studies have made to our understanding of the mechanisms of arrhythmias in the heart. Because of the rapid advance of structural imaging methodologies in cardiac electrophysiology, we chose to present studies that have used such imaging methodologies to construct geometrically realistic models of cardiac tissue, or the organ itself, where the regional remodeling properties of the myocardium can be represented in a realistic way. We emphasize how the acquired knowledge can be used to pave the way for clinical applications of cardiac organ modeling under the conditions of structural remodeling.
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.