ReviewPharmacology & therapeutics2016
Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.
Review in Pharmacology & therapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy of catheter ablation for atrial fibrillation in heart failure: a meta-analysis of randomized controlled trials.ESC heart failure · 2024Pooled it
- Sex Differences in Electrophysiology and Calcium Handling in Atrial Health and Fibrillation.Annual review of physiology · 2025Review
- Multi-faceted potential of sophoridine compound's anti-arrhythmic and antioxidant effects through ROS/CaMKII pathway.Heliyon · 2024Article
- Integrative human atrial modelling unravels interactive protein kinase A and Ca2+/calmodulin-dependent protein kinase II signalling as key determinants of atrial arrhythmogenesis.Cardiovascular research · 2023Article
- Dual effects of the small-conductance CaAmerican journal of physiology. Heart and circulatory physiology · 2023Article
- In Silico Assessment of Class I Antiarrhythmic Drug Effects onInternational journal of molecular sciences · 2021Article
- A Computational Study of the Effects of Tachycardia-Induced Remodeling on Calcium Wave Propagation in Rabbit Atrial Myocytes.Frontiers in physiology · 2021Article
- Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant KBritish journal of pharmacology · 2020Article
- Computational modeling: What does it tell us about atrial fibrillation therapy?International journal of cardiology · 2019Review
- Sensitivity of Ablation Targets Prediction to Electrophysiological Parameter Variability in Image-Based Computational Models of Ventricular Tachycardia in Post-infarction Patients.Frontiers in physiology · 2019Article
- The Association Between Diabetes Mellitus and Atrial Fibrillation: Clinical and Mechanistic Insights.Frontiers in physiology · 2019Review
- Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies.Frontiers in physiology · 2019Article
- A Heart for Diversity: Simulating Variability in Cardiac Arrhythmia Research.Frontiers in physiology · 2018Review
- Multiple mechanisms mediating carbon monoxide inhibition of the voltage-gated KCell death & disease · 2017Article
- Revealing kinetics and state-dependent binding properties of IChaos (Woodbury, N.Y.) · 2017Article
- Connexin 43 is involved in the sympathetic atrial fibrillation in canine and canine atrial myocytes.Anatolian journal of cardiology · 2017Article
- Article
- Commentary: Atrial Fibrillation Dynamics and Ionic Block Effects in Six Heterogeneous Human 3D Virtual Atria with Distinct Repolarization Dynamics.Frontiers in bioengineering and biotechnology · 2017Article
- Mechanistic Systems Modeling to Improve Understanding and Prediction of Cardiotoxicity Caused by Targeted Cancer Therapeutics.Frontiers in physiology · 2017Article
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
Atrial fibrillation (AF), the most common cardiac arrhythmia, is associated with increased risk of cerebrovascular stroke, and with several other pathologies, including heart failure. Current therapies for AF are targeted at reducing risk of stroke (anticoagulation) and tachycardia-induced cardiomyopathy (rate or rhythm control). Rate control, typically achieved by atrioventricular nodal blocking drugs, is often insufficient to alleviate symptoms. Rhythm control approaches include antiarrhythmic drugs, electrical cardioversion, and ablation strategies. Here, we offer several examples of how computational modeling can provide a quantitative framework for integrating multiscale data to: (a) gain insight into multiscale mechanisms of AF; (b) identify and test pharmacological and electrical therapy and interventions; and (c) support clinical decisions. We review how modeling approaches have evolved and contributed to the research pipeline and preclinical development and discuss future directions and challenges in the field.
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.