SynthesisEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2020
Predicting recurrent atrial fibrillation after catheter ablation: a systematic review of prognostic models.
Synthesis 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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07444372 (Start CPAP Therapy in Obstructive Sleep Apnea Patients After Atrial Fibrillation Ablation), which is not on this map. Cited by 85 papers, 5 of them syntheses that pooled it.
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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.
Start CPAP Therapy in Obstructive Sleep Apnea Patients After Atrial Fibrillation Ablation: A Multicenter, Open-label, Randomized Clinical Trial
Who cites it
85 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Predictive accuracy of left atrial strain parameters for risk of atrial fibrillation recurrence: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- P-wave duration and atrial fibrillation recurrence after catheter ablation: a systematic review and meta-analysis.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 · 2023Pooled it
- Biomarkers as predictors of recurrence of atrial fibrillation post ablation: an updated and expanded systematic review and meta-analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2022Pooled it
- Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Machine learning for lymph node metastasis prediction of in patients with gastric cancer: A systematic review and meta-analysis.Frontiers in oncology · 2022Pooled it
- Biomarker-based prediction of sinus rhythm in atrial fibrillation patients: the EAST-AFNET 4 biomolecule study.European heart journal · 2024Trial
- Reduced left atrial cardiomyocyte PITX2 and elevated circulating BMP10 predict atrial fibrillation after ablation.JCI insight · 2020Trial
- Conventional and Emerging Biomarkers for Predicting Post-Ablation Atrial Fibrillation Recurrence: An Updated Systematic Review.Cardiology research · 2026Review
- Factors Associated with Documented Arrhythmia Recurrence After Cryoballoon Ablation in a Low-Risk Atrial Fibrillation Population Without Major Comorbidities.Journal of clinical medicine · 2026Article
- Predictive value of the C-reactive protein-triglyceride-glucose index for late atrial fibrillation recurrence after radiofrequency catheter ablation: a retrospective cohort study.BMC cardiovascular disorders · 2026Article
- Risk stratification of 1-year atrial tachyarrhythmia recurrence after ablation in patients with persistent atrial fibrillation: ALADS-AF score.BMC cardiovascular disorders · 2026Article
- Generalizability of Low-Voltage Zone-Based Risk Scores After Atrial Fibrillation Ablation.Clinical cardiology · 2026Article
- Association of cardiovascular-kidney-metabolic burden with recurrence after first ablation in patients with persistent atrial fibrillation.BMC cardiovascular disorders · 2026Article
- Machine learning prediction of outcome following pulsed-field atrial fibrillation ablation: patient selection and risk factors.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 · 2026Article
- Impact of acute rhythm restoration strategy on atrial fibrillation recurrence after cryoballoon ablation: a real-world cohort study.BMC cardiovascular disorders · 2026Article
- A deep learning model integrating structured data and clinical text for predicting atrial fibrillation recurrence.NPJ digital medicine · 2026Article
- Versatile hiPSC Models and Bioengineering Platforms for Investigation of Atrial Fibrosis and Fibrillation.Cells · 2026Review
- Five-variable nomogram including PR interval and left atrial appendage flow velocity predicts atrial fibrillation recurrence after cryoballoon ablation.Scientific reports · 2026Article
- Novel predictors of late recurrence after catheter ablation for atrial fibrillation: from biomarkers to artificial intelligence models.Frontiers in cardiovascular medicine · 2026Review
- LAAEV-centric atrial failure phenotype and a novel integrative score for predicting early recurrence after AF ablation.Frontiers in cardiovascular medicine · 2026Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
aimsWe assessed the performance of modelsf (risk scores) for predicting recurrence of atrial fibrillation (AF) in patients who have undergone catheter ablation. METHODS AND
resultsSystematic searches of bibliographic databases were conducted (November 2018). Studies were eligible for inclusion if they reported the development, validation, or impact assessment of a model for predicting AF recurrence after ablation. Model performance (discrimination and calibration) measures were extracted. The Prediction Study Risk of Bias Assessment Tool (PROBAST) was used to assess risk of bias. Meta-analysis was not feasible due to clinical and methodological differences between studies, but c-statistics were presented in forest plots. Thirty-three studies developing or validating 13 models were included; eight studies compared two or more models. Common model variables were left atrial parameters, type of AF, and age. Model discriminatory ability was highly variable and no model had consistently poor or good performance. Most studies did not assess model calibration. The main risk of bias concern was the lack of internal validation which may have resulted in overly optimistic and/or biased model performance estimates. No model impact studies were identified.
conclusionOur systematic review suggests that clinical risk prediction of AF after ablation has potential, but there remains a need for robust evaluation of risk factors and development of risk scores.
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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.