Evidence map›Paper›PMID 35894842›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2023

Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference.

Renate B Schnabel, Elena Andreassi Marinelli, Elena Arbelo, Giuseppe Boriani, Serge Boveda, Claire M Buckley, A John Camm, Barbara Casadei, Winnie Chua, Nikolaos Dagres and 66 more

Open access · greenAbstract readConsensus Statement
PubMed Full text at PMC Publisher
In one paragraph

Article 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
27.7field-weighted citation impact, top 1% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

98 citing papers in PubMed, 1 synthesis or guideline pooled it, 175 citations in OpenAlex.

  1. Atrial fibrillation burden in clinical practice, research, and technology development: a clinical consensus statement of the European Society of Cardiology Council on Stroke and the European Heart Rhythm Association.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 · 2025
    Guideline
  2. Trial
  3. Trial
  4. Systematic, randomized atrial fibrillation screening using detailed phenotyping with a risk prediction model combined with patch electrocardiogram in a Swedish population aged 65 years or older: the CONSIDERING-AF trial.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 · 2025
    Trial
  5. Dronedarone provides effective early rhythm control: post-hoc analysis of the ATHENA trial using EAST-AFNET 4 criteria.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 · 2025
    Trial
  6. Improving atrial fibrillation or flutter detection and management by smartphone-based photoplethysmography rhythm monitoring following cardiac surgery: a pragmatic randomized trial.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 · 2025
    Trial
  7. Trial
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  9. Cost-effectiveness of early rhythm control vs. usual care in atrial fibrillation care: an analysis based on data from the EAST-AFNET 4 trial.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 · 2023
    Trial
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  11. Observational
  12. Observational
  13. Article
  14. Review
  15. Article
  16. Atrial cardiomyopathy: markers and outcomes.European heart journal · 2026
    Article
  17. Review
  18. Article
  19. Transforming atrial fibrillation management by targeting comorbidities and reducing atrial fibrillation burden: the 10th AFNET/EHRA consensus conference.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 · 2025
    Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

76 authors at 20 institutions in 18 countries.

Renate B SchnabelAtrial Fibrillation Network (AFNET), Muenster, Germany.ORCID 0000-0001-7170-9509
Elena Andreassi MarinelliDaiichi Sankyo Europe, Munich, Germany.
Elena ArbeloArrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain.
Giuseppe BorianiCardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Polyclinic of Modena, Modena, Italy.
Serge BovedaCardiology-Heart Rhythm Management Department, Clinique Pasteur, 45 Avenue de Lombez, 31076 Toulouse, France.
Claire M BuckleySchool of Public Health, University College Cork, Cork, Ireland.
A John CammCardiology Clinical Academic Group, Molecular and Clinical Sciences Institute, St. George's University of London, London, UK.
Barbara CasadeiRDM, Division of Cardiovascular Medicine, British Heart Foundation Centre of Research Excellence, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Winnie ChuaInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, UK.
Nikolaos DagresDepartment of Electrophysiology, Heart Center Leipzig at University of Leipzig, Leipzig, Germany.
Mirko de MelisMedtronic Bakken Research Center, Maastricht, The Netherlands.
Lien DestegheResearch Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.
Søren Zöga DiederichsenDepartment of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
David DunckerHannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.
Lars EckardtAtrial Fibrillation Network (AFNET), Muenster, Germany.
Christoph EisertPreventicus, Jena, Germany.
Daniel EnglerDepartment of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Larissa FabritzAtrial Fibrillation Network (AFNET), Muenster, Germany.
Ben FreedmanHeart Research Institute, The University of Sydney, Sydney, Australia.
Ludovic GilletRoche Diagnostics, Basel, Switzerland.
Andreas GoetteAtrial Fibrillation Network (AFNET), Muenster, Germany.
Eduard GuaschArrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain.
Jesper Hastrup SvendsenDepartment of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Stéphane N HatemIHU ICAN, Sorbonne-Universite, Paris, France.
Karl Georg HaeuslerAtrial Fibrillation Network (AFNET), Muenster, Germany.
Jeff S HealeyPopulation Health Research Institute, McMaster University Hamilton, ON, Canada.
Hein HeidbuchelResearch Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.
Gerhard HindricksAtrial Fibrillation Network (AFNET), Muenster, Germany.
F D Richard HobbsOxford Primary Care, University of Oxford, Oxford, UK.
Thomas HübnerPreventicus, Jena, Germany.
Dipak KotechaUniversity of Birmingham & University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Michael KreklerBristol Myers Squibb, New York, NY, USA.
Christophe LeclercqDepartment of Cardiology, University Rennes, Rennes, France.
Thorsten LewalterAtrial Fibrillation Network (AFNET), Muenster, Germany.
Honghuang LinDepartment of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Dominik LinzDepartment of Cardiology, Maastricht University Medical Center and Cardiovascular Research Institute Maastricht, Maastricht, The Netherlands.
Gregory Y H LipLiverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Heart & Chest Hospital, Liverpool, UK.
Maja Lisa LøchenDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Wim LucassenAmsterdam UMC (location AMC), Department General Practice, Amsterdam, The Netherlands.
Katarzyna Malaczynska-RajpoldRoyal Brompton Hospital, London, UK.
Steffen MassbergDepartment of Cardiology, University Hospital, LMU Munich, Munich, Germany.
Jose L MerinoArrhythmia & Robotic EP Unit, La Paz University Hospital, IDIPAZ, Madrid, Spain.ORCID 0000-0002-1737-1903
Ralf MeyerMedtronic, Dublin, Ireland.
Lluıs MontArrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain.
Michael C MyersBristol Myers Squibb, New York, NY, USA.
Lis NeubeckArrhythmia & Robotic EP Unit, La Paz University Hospital, IDIPAZ, Madrid, Spain.
Teemu NiiranenMedtronic, Dublin, Ireland.
Michael OeffAtrial Fibrillation Network (AFNET), Muenster, Germany.
Jonas OldgrenUniversity of Turku and Turku University Hospital, Turku, Finland.
Tatjana S PotparaNational Institute for Health and Welfare, Helsinki, Finland.
George PsaroudakisUppsala Clinical Research Center and Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Helmut PürerfellnerSchool of Medicine, Belgrade University, Cardiology Clinic, University Clinical Centre of Serbia, Belgrade, Serbia.
Ursula RavensAtrial Fibrillation Network (AFNET), Muenster, Germany.
Michiel RienstraOrdensklinikum Linz, Elisabethinen, Cardiological Department, Linz, Austria.
Lena RivardInstitute of Experimental Cardiovascular Medicine, University Hospital Freiburg, Freiburg, Germany.
Daniel ScherrDepartment of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ulrich SchottenAtrial Fibrillation Network (AFNET), Muenster, Germany.
Dipen ShahDivision of Cardiology, Medical University of Graz, Graz, Austria.
Moritz F SinnerAtrial Fibrillation Network (AFNET), Muenster, Germany.
Rüdiger SmolnikDaiichi Sankyo Europe, Munich, Germany.
Gerhard SteinbeckAtrial Fibrillation Network (AFNET), Muenster, Germany.
Daniel StevenAtrial Fibrillation Network (AFNET), Muenster, Germany.
Emma SvennbergCenter for Cardiology at Clinic Starnberg, Starnberg, Germany.
Dierk ThomasAtrial Fibrillation Network (AFNET), Muenster, Germany.
Mellanie True HillsHCR (Heidelberg Center for Heart Rhythm Disorders), Medical University Hospital Heidelberg, Heidelberg, Germany.
Isabelle C van GelderDZHK (German Center for Cardiovascular Research), partner site Heidelberg/Mannheim, Heidelberg, Germany.
Burcu VardarUppsala Clinical Research Center and Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Elena PalàStopAfib.org, American Foundation for Women's Health, Decatur, TX, USA.
Reza WakiliAtrial Fibrillation Network (AFNET), Muenster, Germany.
Karl WegscheiderAtrial Fibrillation Network (AFNET), Muenster, Germany.
Mattias WielochDepartment of Cardiology and Vascular Medicine, Westgerman Heart and Vascular Center, University of Duisburg-Essen, Essen, Germany.
Stephan WillemsAtrial Fibrillation Network (AFNET), Muenster, Germany.
Henning WittSanofi, Paris, France.
André ZieglerRoche Diagnostics, Basel, Switzerland.
Matthias Daniel ZinkAsklepios Hospital St Georg, Department of Cardiology and Internal Intensive Care Medicine, Faculty of Medicine, Semmelweis University Campus Hamburg, Hamburg, Germany.
Paulus KirchhofAtrial Fibrillation Network (AFNET), Muenster, Germany.
Atrial Fibrillation NETwork · DEUniversität Hamburg · DECentro de Investigación en Red en Enfermedades Cardiovasculares · ESBristol-Myers Squibb (United States) · USDaiichi Sankyo (Germany) · DEHospital Universitario La Paz · ESJena Bioscience (Germany) · DERoche (Switzerland) · CHRoyal Brompton Hospital · GBUniversity Medical Center Groningen · NLUniversity of Antwerp · BEUniversity of Copenhagen · DKUppsala University · SEAmerican Society for Reproductive Medicine · USAmsterdam University Medical Centers · NLAsklepios Klinik St. Georg · DEBritish Heart Foundation · GBCopenhagen University Hospital · DKEdinburgh Napier University · GBFinnish Institute for Health and Welfare · FI

Funding

Assessing Alzheimer disease risk and heterogeneity using multimodal machine learning approachesU01AG068221 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DESTEFANO, ANITA L, LIN, HONGHUANG · 2021 to 2024
$2.5M
NIA NIH HHS U01 AG068221
6 · The paper itself

Abstract

Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.

Indexed as

Atrial FibrillationStrokeArtificial IntelligenceCognitionConsensusEarly DiagnosisHumansAFNETAnticoagulationArtificial intelligenceAtrial cardiomyopathyAtrial fibrillationBleedingCatheter ablationCognitive functionConsensus statementCostDementiaEHRAGuidelinesHeart failureIntegrated careOutcomesQuality of careResearchResearch prioritiesRhythm managementScreeningStrokeTechnology

Identifiers

PMID35894842
PMCPMC9907557
OpenAlexW4226254398

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.