ReviewArrhythmia & electrophysiology review2019
Understanding AF Mechanisms Through Computational Modelling and Simulations.
Review in Arrhythmia & electrophysiology review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 26 citations in OpenAlex.
- Long-term clinical efficacy of Marshall vein ethanol infusion combined with catheter ablation for persistent AF.Frontiers in cardiovascular medicine · 2026Article
- A possible new cardiac heterogeneity as an arrhythmogenic driver.Scientific reports · 2023Article
- Cellular heterogeneity and repolarisation across the atria: an in silico study.Medical & biological engineering & computing · 2022Article
- Human-induced pluripotent stem cell-atrial-specific cardiomyocytes and atrial fibrillation.World journal of clinical cases · 2022Review
- Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve.Scientific reports · 2022Article
- Big Data in electrophysiology.Herzschrittmachertherapie & Elektrophysiologie · 2022Review
- Artificial intelligence in the diagnosis and management of arrhythmias.European heart journal · 2021Review
- Article
- Computational models of atrial fibrillation: achievements, challenges, and perspectives for improving clinical care.Cardiovascular research · 2021Review
- Model Systems for Addressing Mechanism of Arrhythmogenesis in Cardiac Repair.Current cardiology reports · 2021Review
- A New Era in Zero X-ray Ablation.Arrhythmia & electrophysiology review · 2020Review
- Endocardial-Epicardial Dissociation in Persistent Atrial Fibrillation: Driver or Bystander Activation Pattern?Circulation. Arrhythmia and electrophysiology · 2020Article
- Applications of Machine Learning in Cardiac Electrophysiology.Arrhythmia & electrophysiology review · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
AF is a progressive disease of the atria, involving complex mechanisms related to its initiation, maintenance and progression. Computational modelling provides a framework for integration of experimental and clinical findings, and has emerged as an essential part of mechanistic research in AF. The authors summarise recent advancements in development of multi-scale AF models and focus on the mechanistic links between alternations in atrial structure and electrophysiology with AF. Key AF mechanisms that have been explored using atrial modelling are pulmonary vein ectopy; atrial fibrosis and fibrosis distribution; atrial wall thickness heterogeneity; atrial adipose tissue infiltration; development of repolarisation alternans; cardiac ion channel mutations; and atrial stretch with mechano-electrical feedback. They review modelling approaches that capture variability at the cohort level and provide cohort-specific mechanistic insights. The authors conclude with a summary of future perspectives, as envisioned for the contributions of atrial modelling in the mechanistic understanding of AF.
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.