ReviewEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2012
Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones.
Review in 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, 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
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
16 citing papers in PubMed, 35 citations in OpenAlex.
- The functional impact of myofiber macroscopic organization and disarray in computational models of the murine heart.PLoS computational biology · 2026Article
- Interpretable manifold learning for T-wave alternans assessment with electrocardiographic imaging.Engineering applications of artificial intelligence · 2025Article
- Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists.Cardiovascular engineering and technology · 2024Review
- Deterministic and Stochastic Cellular Mechanisms Contributing to Carbon Monoxide Induced Ventricular Arrhythmias.Frontiers in pharmacology · 2021Article
- Myocardial Fluid Balance and Pathophysiology of Myocardial Edema in Coronary Artery Bypass Grafting.Cardiology research and practice · 2020Review
- Personalized Cardiac Computational Models: From Clinical Data to Simulation of Infarct-Related Ventricular Tachycardia.Frontiers in physiology · 2019Article
- Editorial: Mathematics for Healthcare as Part of Computational Medicine.Frontiers in physiology · 2018Article
- Potassium currents in the heart: functional roles in repolarization, arrhythmia and therapeutics.The Journal of physiology · 2017Review
- Personalized Computer Simulation of Diastolic Function in Heart Failure.Genomics, proteomics & bioinformatics · 2016Article
- Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?Journal of molecular and cellular cardiology · 2016Article
- How computer simulations of the human heart can improve anti-arrhythmia therapy.The Journal of physiology · 2016Review
- Light-based Approaches to Cardiac Arrhythmia Research: From Basic Science to Translational Applications.Clinical Medicine Insights. Cardiology · 2016Review
- Computational modeling of cardiac optogenetics: Methodology overview & review of findings from simulations.Computers in biology and medicine · 2015Review
- Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach.Frontiers in physiology · 2014Review
- Combining wet and dry research: experience with model development for cardiac mechano-electric structure-function studies.Cardiovascular research · 2013Review
- NHLBI support of systems biology.Frontiers in 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
9 authors at 1 institution in 1 country.
Funding
Abstract
This article reviews the latest developments in computational cardiology. It focuses on the contribution of cardiac modelling to the development of new therapies as well as the advancement of existing ones for cardiac arrhythmias and pump dysfunction. Reviewed are cardiac modelling efforts aimed at advancing and optimizing existent therapies for cardiac disease (defibrillation, ablation of ventricular tachycardia, and cardiac resynchronization therapy) and at suggesting novel treatments, including novel molecular targets, as well as efforts to use cardiac models in stratification of patients likely to benefit from a given therapy, and the use of models in diagnostic procedures.
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.