Evidence map›Paper›PMID 39561931›Full record

ReviewHeart rhythm2025

Atrial fibrillation nomenclature, definitions, and mechanisms: Position paper from the international Working Group of the Signal Summit.

Natasja M S de Groot, Andre Kleber, Sanjiv M Narayan, Edward J Ciaccio, Olaf Doessel, Olivier Bernus, Omer Berenfeld, David Callans, Vadim Fedorov, John Hummel and 6 more

Registry-linked trialAbstract readReviewConsensus Statement
In one paragraph

Review in Heart rhythm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02997254 (COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT02997254 recruitingnot on this map

COMparison of Physiological Algorithms for Real-time Evaluation of Atrial Fibrillation

TypeobservationalSponsorStanford UniversityRan2016 to 2027Enrolled1,000ConditionsAtrial Fibrillation, Abnormal Heart Rhythms
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Association Between TNF-Alpha Levels and Atrial Fibrillation Outcomes: A Systematic Review and Meta-Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Systemic Molecular Alterations ofInternational journal of molecular sciences · 2026
    Article
  6. Role of interatrial connection ablation in re-entry dynamics: an in silico evaluation.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 · 2026
    Article
  7. Article
  8. Review
  9. Review
  10. EFFECTS OF TORSO IMPEDANCE ON IN SILICO VOLTAGE MAPPING OF CARDIAC DIPOLES OF ROTORS.Annual Modeling and Simulation Conference (ANNSIM). Annual Modeling and Simulation Conference (Online) · 2025
    Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Natasja M S de GrootDepartment of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands. Electronic address: n.m.s.degroot@erasmusmc.nl.
Andre KleberJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.
Sanjiv M NarayanCardiovascular Division, Cardiovascular Institute, Institute of Computational and Mathematical Engineering, Stanford University, Stanford, California.
Edward J CiaccioDivision of Cardiology, Department of Medicine, Columbia University, New York, New York.
Olaf DoesselInstitute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Olivier BernusUniversity of Bordeaux, INSERM, CRCTB, U1045, IHU Liryc, Bordeaux, France, Cardiac Arrhythmia Department, Bordeaux University Hospital, INSERM, Bordeaux, France.
Omer BerenfeldCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan.
David CallansCardiac Electrophysiology Section, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
Vadim FedorovDepartment of Physiology & Cell Biology, Bob and Corrine Frick Center for Heart Failure and Arrhythmia, The Ohio State University Wexner Medical Center, Columbus, Ohio.
John HummelSection of Electrophysiology, Division of Cardiovascular Medicine, Ross Heart Hospital, The Ohio State University Wexner Medical Center, Columbus, Ohio.
Michel HaissaguerreDepartment of Cardiac Electrophysiology and Stimulation, CHU Bordeaux, Pessac, France.
Andrea NataleTexas Cardiac Arrhythmia Institute, St David's Medical Center, Austin, Texas, Metro Health Medical Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, Department of Biomedicine and Prevention, Division of Cardiology, University of Tor Vergata, Rome, Italy.
Natalia TrayanovaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Peter SpectorUniversity of Vermont College of Medicine, Burlington, Vermont.
Edward VigmondUniversity of Bordeaux, CNRS, Bordeaux INP, IMB, UMR 5251, IHU Liryc, Talence, France.
Elad AnterCardiovascular Division, Shamir Medical Center, Be'er Yaakov, Israel.

Funding

The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Targeting the Arrhythmogenic Sources of Human Atrial FibrillationR01HL135109 · NHLBI · OHIO STATE UNIVERSITY · PI Vadim V Fedorov · 2017 to 2026
$6.0M
Patient-Directed Computational Analysis of Atrial FibrillationR01HL122384 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WOUTER-JAN RAPPEL · 2015 to 2026
$5.3M
Integration of structure and signaling in cardiac pacemaker functionR01HL115580 · NHLBI · OHIO STATE UNIVERSITY · PI FEDOROV, VADIM V · 2013 to 2021
$4.2M
Machine Learning in Atrial FibrillationR01HL149134 · NHLBI · STANFORD UNIVERSITY · PI NARAYAN, SANJIV M · 2020 to 2024
$3.8M
Artificial intelligence analysis of atrial remodeling evolution in patients with atrial fibrillation: Towards optimal ablation strategiesR01HL166759 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Eugene Kholmovski, David Spragg · 2023 to 2026
$3.2M
Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Electrical Activity Patterns in Onset and Cessation of Atrial FibrillationR01HL156961 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERENFELD, OMER · 2022 to 2025
$2.4M
Mapping Electrical Activation in Atrial FibrillationR01HL118304 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERENFELD, OMER · 2013 to 2016
$1.5M
Extracorporeal and Endoscopic SWIR Mapping of Dynamic Muscle FunctionR21EB032661 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANUMONWO, JUSTUS M, BERENFELD, OMER · 2022 to 2023
$401k
Hyperspectral Mapping of Cardiac Excitation and Contraction DynamicsR21HL153694 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANUMONWO, JUSTUS M, BERENFELD, OMER · 2020 to 2021
$401k
American Heart Association 23IPA1048677NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL115580NHLBI NIH HHS R01 HL118304NHLBI NIH HHS R01 HL122384NHLBI NIH HHS R01 HL135109NHLBI NIH HHS R01 HL142496NHLBI NIH HHS R01 HL149134NHLBI NIH HHS R01 HL156961NHLBI NIH HHS R01 HL166759NHLBI NIH HHS R21 HL153694NIBIB NIH HHS R21 EB032661
6 · The paper itself

Abstract

The international Working Group of the Signal Summit is a consortium of experts in the field of cardiac electrophysiology dedicated to advancing knowledge on understanding and clinical application of signal recording and processing techniques. In 2023, the working group met in Reykjavik, Iceland, and laid the foundation for this manuscript. Atrial fibrillation (AF) is the most common arrhythmia in adults, with a rapidly increasing prevalence worldwide. Despite substantial research efforts, advancements in elucidating the underlying mechanisms of AF have been relatively modest. Since the discovery of pulmonary veins as a frequent trigger region for AF initiation more than 2½ decades ago, advancements in patient care have primarily focused on technologic innovations to improve the safety and efficacy of pulmonary vein isolation (PVI). Several factors may explain the limited scientific progress made. First, whereas AF initiation usually begins with an ectopic beat, the mechanisms of initiation, maintenance, and electrical propagation have not been fully elucidated in humans, largely owing to suboptimal spatiotemporal mapping. Second, underlying structural changes have not been clarified and may involve different types of reentry. Third, inconsistent definitions and terminology regarding fibrillatory characteristics contribute to the challenges of comparing results between studies. Fourth, a growing appreciation for phenotypical differences probably explains the wide range of clinical outcomes to catheter ablation in patients with seemingly similar AF types. Last, restoring sinus rhythm in advanced phenotypic forms of AF is often not feasible or may require extensive ablation with minimal or no positive impact on quality of life. The aims of this international position paper are to provide practical definitions as a foundation for discussing potential mechanisms and mapping results and to propose pathways toward meaningful advancements in AF research, ultimately leading to improved therapies for AF.

Indexed as

Atrial FibrillationHeart Conduction SystemTerminology as TopicCatheter AblationHumansAblationAtrial fibrillationDefinitionsMappingMechanismsTreatment

Identifiers

PMID39561931
PMCPMC12084426

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.