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Cited by 98Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and OutcomesCardiac pacing and defibrillation studies

The DOI matches its Crossref record; 541 of the 541 references it cites were found in a registry or an index.

European Heart Rhythm Association (EHRA)/Heart Rhythm Society (HRS)/Asia Pacific Heart Rhythm Society (APHRS)/Latin American Heart Rhythm Society (LAHRS) expert consensus on risk assessment in cardiac arrhythmias: use the right tool for the right outcome, in the right population

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Nielsen, Jens Cosedis, Lin, Yenn-Jiang, de Oliveira Figueiredo, Marcio Jansen, Sepehri Shamloo, Alireza, Alfie, Alberto, Boveda, Serge, Dagres, Nikolaos, Di Toro, Dario, Eckhardt, Lee L, Ellenbogen, Kenneth, Hardy, Carina, Ikeda, Takanori, Jaswal, Aparna, Kaufman, Elizabeth, Krahn, Andrew, Kusano, Kengo, Kutyifa, Valentina, Lim, Han S, Lip, Gregory Y H, Nava-Townsend, Santiago, Pak, Hui-Nam, Rodríguez Diez, Gerardo, Sauer, William, Saxena, Anil, Svendsen, Jesper Hastrup, Vanegas, Diego, Vaseghi, Marmar, Wilde, Arthur, Bunch, T Jared, ESC Scientific Document Group, Buxton, Alfred E, Calvimontes, Gonzalo, Chao, Tze-Fan, Eckardt, Lars, Estner, Heidi, Gillis, Anne M, Isa, Rodrigo, Kautzner, Josef, Maury, Philippe, Moss, Joshua D, Nam, Gi-Byung, Olshansky, Brian, Pava Molano, Luis Fernando, Pimentel, Mauricio, Prabhu, Mukund, Tzou, Wendy S, Sommer, Philipp, Swampillai, Janice, Vidal, Alejandro, Deneke, Thomas, Hindricks, Gerhard, Leclercq, Christophe·2020·EP Europace
DOI 10.1093/europace/euaa065PMC PMC7400488
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Abstract

in cardiac arrhythmias: use the right tool for the right outcome, in the right population

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Crossref · 10.1093/europace/euaa065

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541 of 541 references verified0 citation errors · 0 not checkable

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Figures

Figure 1 A depiction of the atrial fibrillation prevalence distribution found by each study published to date.151 This depiction uses the sex-specific average rates of AF prevalence, grouped by age. The thick line represents average AF prevalence rates by age group, as derived from a pooled analysis of the individual studies weighted by sample size. (Adapted from Andrade et al. Circ Res 2014.) AF, atrial fibrillation.
Figure 1 A depiction of the atrial fibrillation prevalence distribution found by each study published to date.151 This depiction uses the sex-specific average rates of AF prevalence, grouped by age. The thick line represents average AF prevalence rates by age group, as derived from a pooled analysis of the individual studies weighted by sample size. (Adapted from Andrade et al. Circ Res 2014.) AF, atrial fibrillation.CC BY · PubMed Central
Figure 2 Sex differences in symptoms related to atrial fibrillation144 (Adapted from Andrade et al. Can J Cardiol 2018).
Figure 2 Sex differences in symptoms related to atrial fibrillation144 (Adapted from Andrade et al. Can J Cardiol 2018).CC BY · PubMed Central
Figure 3 Investigations and associated risk factors useful to predict the development and progression of AF in HF patients. AF, atrial fibrillation; BNP, B-type natriuretic peptide; CRP, C-reactive protein; ECG, electrocardiogram; HF, heart failure; LA, left atrium; LGE, late gadolinium enhancement; LVH, left ventricular hypertrophy; MRI, magnetic resonance imaging.
Figure 3 Investigations and associated risk factors useful to predict the development and progression of AF in HF patients. AF, atrial fibrillation; BNP, B-type natriuretic peptide; CRP, C-reactive protein; ECG, electrocardiogram; HF, heart failure; LA, left atrium; LGE, late gadolinium enhancement; LVH, left ventricular hypertrophy; MRI, magnetic resonance imaging.CC BY · PubMed Central
Figure 4 Proceeding of evaluation for cryptogenic stroke. AF, atrial fibrillation; CT, computed tomography; ECG, electrocardiogram; ILR, implantable loop recorder; MRI, magnetic resonance imaging; TOE, transoesophageal echocardiography.
Figure 4 Proceeding of evaluation for cryptogenic stroke. AF, atrial fibrillation; CT, computed tomography; ECG, electrocardiogram; ILR, implantable loop recorder; MRI, magnetic resonance imaging; TOE, transoesophageal echocardiography.CC BY · PubMed Central
Figure 5 Mortality risk in patients with atrial fibrillation.
Figure 5 Mortality risk in patients with atrial fibrillation.CC BY · PubMed Central

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Citations

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Show all 541 references

Research works printed but not linked: 4

  1. Yan-Guang, 2019, The C2HEST score and the prediction of incident atrial fibrillation in post-stroke subjects: a French nationwide study, J Am Heart Assoc, 8
  2. Priori, 2013, Executive summary: HRS/EHRA/APHRS expert consensus statement on the diagnosis and management of patients with inherited primary arrhythmia syndromes, Europace, 15, 1389, 10.1093/europace/eut272 · DOI
  3. Brugada, 2020, 2019 ESC Guidelines for the management of patients with supraventricular tachycardia, Eur Heart J, 41, 655, 10.1093/eurheartj/ehz467 · DOI
  4. Gali, 2019, Predictors of mortality and heart transplantation in patients with Chagas’ cardiomyopathy and ventricular tachycardia treated with implantable cardioverter-defibrillators. 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, 21, 1070

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Authors
Nielsen, J. C., Lin, Y.-J., de Oliveira Figueiredo, M. J., Sepehri Shamloo, A., Alfie, A., Boveda, S., Dagres, N., Di Toro, D., Eckhardt, L. L., Ellenbogen, K., Hardy, C., Ikeda, T., Jaswal, A., Kaufman, E., Krahn, A., Kusano, K., Kutyifa, V., Lim, H. S., Lip, G. Y. H., Nava-Townsend, S., Pak, H.-N., Rodríguez Diez, G., Sauer, W., Saxena, A., Svendsen, J. H., Vanegas, D., Vaseghi, M., Wilde, A., Bunch, T. J., ESC Scientific Document Group, Buxton, A. E., Calvimontes, G., Chao, T.-F., Eckardt, L., Estner, H., Gillis, A. M., Isa, R., Kautzner, J., Maury, P., Moss, J. D., Nam, G.-B., Olshansky, B., Pava Molano, L. F., Pimentel, M., Prabhu, M., Tzou, W. S., Sommer, P., Swampillai, J., Vidal, A., Deneke, T., Hindricks, G., & Leclercq, C.
Affiliations
  • Aarhus University Hospital (DK)
  • Taipei Veterans General Hospital (TW)
  • Department of Internal Medicine , Electrophysiology Service, University of Campinas Hospital, Campinas,
  • Department of Electrophysiology , Leipzig Heart Center at University of Leipzig, Leipzig,
  • Division of Electrophysiology , Instituto Cardiovascular Adventista, Clinica Bazterrica, Buenos Aires,
  • Department of Cardiology , Clinique Pasteur, Toulouse,
  • Leipzig Heart Institute (DE)
  • Department of Cardiology , Division of Electrophysiology, Argerich Hospital and CEMIC, Buenos Aires,
  • University of Wisconsin–Madison (US)
  • Virginia Commonwealth University (US)
  • Universidade de São Paulo (BR)
  • Toho University (JP)
  • Fortis Escorts Heart Institute (IN)
  • MetroHealth (US)
  • University of British Columbia (CA)
  • National Cerebral and Cardiovascular Center (JP)
  • Semmelweis University (HU)
  • The University of Melbourne (AU)
  • University of Liverpool (GB)
  • Instituto Nacional de Cardiología (MX)
  • Yonsei University (KR)
  • Department of Electrophysiology and Hemodynamic , Arrhytmias Unity, CMN 20 de Noviembre, ISSSTE, Mexico City,
  • Brigham and Women's Hospital (US)
  • University of Copenhagen (DK)
  • Hospital Militar Central (CO)
  • University of California, Los Angeles (US)
  • Amsterdam University Medical Centers (NL)
  • Intermountain Healthcare (US)
  • Beth Israel Deaconess Medical Center (US)
  • University Hospital Münster (DE)
  • University of Calgary (CA)
  • Institute of Clinical and Experimental Medicine (CZ)
  • Hôpital Rangueil (FR)
  • University of California, San Francisco (US)
  • University of Iowa (US)
  • Fundación Valle del Lili , Cali,
  • Cardiology Division , Hospital de Clínicas de Porto Alegre, Porto Alegre, RS,
  • Sree Chitra Thirunal Institute for Medical Sciences and Technology (IN)
  • Heart and Diabetes Center North Rhine-Westphalia (DE)
  • Waikato Hospital (NZ)
  • Rhön-Klinikum (DE)
  • Inserm (FR)
Corresponding author
Nielsen, Jens Cosedis
ORCID
Venue
EP Europace
Publisher
Oxford University Press (OUP)
Published
2020-06-15
Volume
22
Issue
8
Pages
1147-1148
ISSN
  • 1099-5129 (ISSN-L)
  • 1532-2092
DOI
10.1093/europace/euaa065
PMC
PMC7400488
OpenAlex
W4239538528
Cited by
98
References
541
Citations by year
2026: 9 · 2025: 2 · 2024: 26 · 2023: 17 · 2022: 15 · 2021: 19 · 2020: 10
FWCI
9.44
Type
journal article
Language
en
Open access
Licence
Locations
  • EP Europace (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • VBN Forskningsportal (Aalborg Universitet) (publishedVersion, cc-by)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
  • Pure Amsterdam UMC (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
  • VUBIR (Vrije Universiteit Brussel) (submittedVersion)
Funders
  • Bristol-Myers Squibb
  • Boston Scientific Corporation
  • Bayer HealthCare
  • Novo Nordisk Fonden (NNF16OC0018658)
  • H. Lundbeck A/S
  • National Heart, Lung, and Blood Institute (DP2HL132356)
  • Biosense Webster
  • Daiichi Sankyo Europe
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
Keywords
risk assessment, cardiac arrhythmias, risk assessment tools, risk stratification, adverse outcomes, tool validation, patient care
MeSH terms
Arrhythmias, Cardiac, Asia, Humans, Latin America, Risk Assessment, Consensus

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