ReviewArrhythmia & electrophysiology review2019
Atrial Fibrosis: Translational Considerations for the Management of AF Patients.
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 9 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
9 citing papers in PubMed, 14 citations in OpenAlex.
- Structural determinants of re-entrant drivers in atrial fibrillation: insights from digital twins derived from 3D micrometre-resolution imaging of human heart.The Journal of physiology · 2026Article
- Atrial fibroblast metabolic reprogramming in atrial fibrillation: a candidate mechanism within multicellular atrial cardiomyopathy.Frontiers in cardiovascular medicine · 2026Review
- The impact of empirical superior vena cava isolation in addition to pulmonary vein isolation on outcomes in atrial fibrillation - Systematic review, meta-analysis, and meta-regression.International journal of cardiology. Heart & vasculature · 2025Article
- Left atrial volume affects the correlation of voltage map with magnetic resonance imaging.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024Article
- Atrial fibrosis identification with unipolar electrogram eigenvalue distribution analysis in multi-electrode arrays.Medical & biological engineering & computing · 2022Article
- LOXL2 silencing suppresses angiotensin II-induced cardiac hypertrophy through the EMT process and TGF-β1/Smad3/NF-κB pathway.Iranian journal of basic medical sciences · 2022Article
- Tailoring the Ablative Strategy for Atrial Fibrillation: A State-of-the-Art Review.Cardiology research and practice · 2022Review
- A new interpretation of nonpulmonary vein substrates of the left atrium in patients with atrial fibrillation.Journal of arrhythmia · 2021Article
- Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a HybridFrontiers in physiology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fibrosis plays a fundamental role in the initiation and maintenance of AF, mainly due to enhanced automaticity and anisotropy-related re-entry. The identification and quantification of atrial fibrosis is achieved either preprocedurally by late gadolinium enhancement MRI or intraprocedurally using electroanatomic voltage mapping. The presence and extent of left atrial fibrosis among AF patients may influence relevant decision making regarding the need for anticoagulation, the adoption of rate versus rhythm control and mainly the type of ablation strategy that will be followed during interventional treatment. Several types of individualised substrate modifications targeting atrial fibrotic areas have been proposed, although their impact on patient outcome needs to be further investigated in adequately powered prospective randomised controlled clinical trials.
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.