SynthesisClinical research in cardiology : official journal of the German Cardiac Society2022
Biomarkers as predictors of recurrence of atrial fibrillation post ablation: an updated and expanded systematic review and meta-analysis.
Synthesis in Clinical research in cardiology : official journal of the German Cardiac Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05794464 (Secretoneurin as a Biomarker of Atrial Fibrillation rEcurrence After Catheter Ablation/Electrical Cardioversion), which is not on this map. Cited by 36 papers.
What it found
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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.
Secretoneurin as a Biomarker of Atrial Fibrillation rEcurrence After Catheter Ablation/Electrical Cardioversion
Who cites it
36 citing papers in PubMed, 49 citations in OpenAlex.
- 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
- The Immune System as a Proarrhythmic Mediator: A Novel Paradigm for the Development of New Antiarrhythmic Therapy.The Canadian journal of cardiology · 2026Review
- Development and validation of a prediction model for atrial fibrillation recurrence after radiofrequency ablation: integrating echocardiographic and clinical indicators.BMC cardiovascular disorders · 2026Article
- The clinical pathophysiology of atrial fibrillation: outstanding questions from bedside to bench and back.Physiological reviews · 2026Review
- Construction of a regression model and post-procedure care strategy for predicting atrial fibrillation recurrence risk after radiofrequency ablation using combined P-wave electrocardiographic markers and serum.Frontiers in cardiovascular medicine · 2026Article
- Efficacy of rhBNP in heart failure with atrial fibrillation combined with poor conventional therapy response and recurrence risk factors.American journal of translational research · 2026Article
- Machine learning models of inflammatory markers used in the prediction of early and late atrial fibrillation recurrence in overweight and obese patients after catheter ablation.Cardiology journal · 2026Article
- Molecular Mechanisms of Atrial Fibrillation Recurrence After Successful Catheter Ablation.Cells · 2025Review
- Targeted nanodelivery strategies for atrial fibrillation: concomitant targeting of fibrosis suppression and electrical conduction restoration through advanced nanobiotechnology.Journal of nanobiotechnology · 2025Review
- Hybrid Atrial Fibrillation Ablation: Association of Clinical Characteristics, Biomarkers, and Blanking Period with Recurrence.Interdisciplinary cardiovascular and thoracic surgery · 2025Observational
- Interleukin-6: Molecular Mechanisms and Therapeutic Perspectives in Atrial Fibrillation.Current medical science · 2025Review
- Left Atrial Remodeling Parameters and Brain Natriuretic Peptide Levels in Nonvalvular Atrial Fibrillation.Journal of the Saudi Heart Association · 2025Article
- Animal and cellular models of atrial fibrillation: a review.Frontiers in cardiovascular medicine · 2025Review
- Correlation and Influencing Factor Analysis Between Gal-3 and Recurrent Patients With Nonvalvular Atrial Fibrillation After Radiofrequency Ablation.Cardiovascular therapeutics · 2025Article
- The predictive value of pan-immune inflammatory index for early recurrence of atrial fibrillation after cryoablation.BMC cardiovascular disorders · 2024Article
- Red Blood Cell Distribution Width is a Biomarker of Red Cell Dysfunction Associated with High Systemic Inflammation and a Prognostic Marker in Heart Failure and Cardiovascular Disease: A Potential Predictor of Atrial Fibrillation Recurrence.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024Review
- The Prognostic Role of the Neutrophil-to-Lymphocytes Ratio in the Most Frequent Cardiovascular Diseases: An Update.Life (Basel, Switzerland) · 2024Review
- Myeloperoxidase and its derivative hypochlorous acid combined clinical indicators predict new-onset atrial fibrillation in sepsis: a case-control study.BMC cardiovascular disorders · 2024Article
- Identification of Plasmatic MicroRNA-206 as New Predictor of Early Recurrence of Atrial Fibrillation After Catheter Ablation Using Next-generation Sequencing.Molecular diagnosis & therapy · 2024Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA high proportion of patients undergoing catheter ablation (CA) for atrial fibrillation (AF) experience recurrence of arrhythmia. This meta-analysis aims to identify pre-ablation serum biomarker(s) associated with arrhythmia recurrence to improve patient selection before CA.
methodsA systematic approach following PRISMA reporting guidelines was utilised in libraries (Pubmed/Medline, Embase, Web of Science, Scopus) and supplemented by scanning through bibliographies of articles. Biomarker levels were compared using a random-effects model and presented as odds ratio (OR). Heterogeneity was examined by meta-regression and subgroup analysis.
resultsIn total, 73 studies were identified after inclusion and exclusion criteria were applied. Nine out of 22 biomarkers showed association with recurrence of AF after CA. High levels of N-Terminal-pro-B-type-Natriuretic Peptide [OR (95% CI), 3.11 (1.80-5.36)], B-type Natriuretic Peptide [BNP, 2.91 (1.74-4.88)], high-sensitivity C-Reactive Protein [2.04 (1.28-3.23)], Carboxy-terminal telopeptide of collagen type I [1.89 (1.16-3.08)] and Interleukin-6 [1.83 (1.18-2.84)] were strongly associated with identifying patients with AF recurrence. Meta-regression highlighted that AF type had a significant impact on BNP levels (heterogeneity R
conclusionRanking biomarkers based on the strength of association with outcome provides each biomarker relative capacity to predict AF recurrence. This will provide randomised controlled trials, a guide to choosing a priori tool for identifying patients likely to revert to AF, which are required to substantiate these findings.
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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.