The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Epidemiology of atrial fibrillation: European perspective
Open accessAbstract
In the last 20 years, atrial fibrillation (AF) has become one of the most important public health problems and a significant cause of increasing health care costs in western countries. The prevalence of AF is increasing due to our greater ability to treat chronic cardiac and noncardiac diseases, and the improved ability to suspect and diagnose AF. At the present time, the prevalence of AF (2%) is double that reported in the last decade. The prevalence of AF varies with age and sex. AF is present in 0.12%-0.16% of those younger than 49 years, in 3.7%-4.2% of those aged 60-70 years, and in 10%-17% of those aged 80 years or older. In addition, it occurs more frequently in males, with a male to female ratio of 1.2:1. The incidence of AF ranges between 0.21 and 0.41 per 1,000 person/years. Permanent AF occurs in approximately 50% of patients, and paroxysmal and persistent AF in 25% each. AF is frequently associated with cardiac disease and comorbidities. The most common concomitant diseases are coronary artery disease, valvular heart disease, and cardiomyopathy. The most common comorbidities are hypertension, diabetes, heart failure, chronic obstructive pulmonary disease, renal failure, stroke, and cognitive disturbance. Paroxysmal AF occurs in younger patients and with a reduced burden of both cardiac disease and comorbidities. Generally, the history of AF is long, burdened by frequent recurrences, and associated with symptoms (in two thirds of patients). Patients with AF have a five-fold and two-fold higher risk of stroke and death, respectively. We estimate that the number of patients with AF in 2030 in Europe will be 14-17 million and the number of new cases of AF per year at 120,000-215,000. Given that AF is associated with significant morbidity and mortality, this increasing number of individuals with AF will have major public health implications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Go, A. S., Hylek, E. M., Phillips, K. A., Chang, Y., Henault, L. E., Selby, J. V., & Singer, D. E. (2001) · JAMA · doi:10.1001/jama.285.18.2370 · Cited by 6,205
Worldwide Epidemiology of Atrial Fibrillation: A Global Burden of Disease 2010 Study
Chugh, S. S., Havmoeller, R., Narayanan, K., Singh, D., Rienstra, M., Benjamin, E. J., Gillum, R. F., Kim, Y.-H., McAnulty, J. H., Zheng, Z.-J., et al. (2014) · Circulation · doi:10.1161/circulationaha.113.005119 · Cited by 4,506
Miyasaka, Y., Barnes, M. E., Gersh, B. J., Cha, S. S., Bailey, K. R., Abhayaratna, W. P., Seward, J. B., & Tsang, T. S. M. (2006) · Circulation · doi:10.1161/circulationaha.105.595140 · Cited by 2,564
Wang, T. J., Larson, M. G., Levy, D., Vasan, R. S., Leip, E. P., Wolf, P. A., D’Agostino, R. B., Murabito, J. M., Kannel, W. B., & Benjamin, E. J. (2003) · Circulation · doi:10.1161/01.cir.0000072767.89944.6e · Cited by 1,970
Atrial Fibrillation and Dementia in a Population-Based Study: The Rotterdam Study
Ott, A., Breteler, M. M. B., de Bruyne, M. C., van Harskamp, F., Grobbee, D. E., & Hofman, A. (1997) · Stroke · doi:10.1161/01.str.28.2.316 · Cited by 732
Piccini, J. P., Hammill, B. G., Sinner, M. F., Jensen, P. N., Hernandez, A. F., Heckbert, S. R., Benjamin, E. J., & Curtis, L. H. (2012) · Circulation: Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.111.962688 · Cited by 565
Friberg, L., Rosenqvist, M., & Lip, G. Y. H. (2012) · Circulation · doi:10.1161/circulationaha.111.055079 · Cited by 454
Incidence and prevalence of atrial fibrillation: an analysis based on 8.3 million patients
Wilke, T., Groth, A., Mueller, S., Pfannkuche, M., Verheyen, F., Linder, R., Maywald, U., Bauersachs, R., & Breithardt, G. (2013) · Europace · doi:10.1093/europace/eus333 · Cited by 397
for the ATRIUM investigators, Meinertz, T., Kirch, W., Rosin, L., Pittrow, D., Willich, S. N., & Kirchhof, P. (2011) · Clinical Research in Cardiology · doi:10.1007/s00392-011-0320-5 · Cited by 91
Pattern of atrial fibrillation and risk of outcomes: the Loire Valley Atrial Fibrillation Project
Banerjee, A., Taillandier, S., Olesen, J. B., Lane, D. A., Lallemand, B., Lip, G. Y. H., & Fauchier, L. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.06.118 · Cited by 87
Cited by
2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., Castella, M., Diener, H.-C., Heidbuchel, H., Hendriks, J., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw210 · Cited by 6,418
2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS
Kirchhof, P., Benussi, S., Kotecha, D., Ahlsson, A., Atar, D., Casadei, B., Castella, M., Diener, H.-C., Heidbuchel, H., Hendriks, J., et al. (2016) · European Journal of Cardio-Thoracic Surgery · doi:10.1093/ejcts/ezw313 · Cited by 1,403
Photoplethysmography based atrial fibrillation detection: a review
Pereira, T., Tran, N., Gadhoumi, K., Pelter, M. M., Do, D. H., Lee, R. J., Colorado, R., Meisel, K., & Hu, X. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0207-9 · Cited by 300
Xia, M.-F., Chen, L.-Y., Wu, L., Ma, H., Li, X.-M., Li, Q., Aleteng, Q., Hu, Y., He, W.-Y., Gao, J., et al. (2021) · Clinical Nutrition · doi:10.1016/j.clnu.2020.06.003 · Cited by 133
Overvad, T. F., Skjøth, F., Lip, G. Y. H., Lane, D. A., Albertsen, I. E., Rasmussen, L. H., & Larsen, T. B. (2015) · Stroke · doi:10.1161/strokeaha.115.009371 · Cited by 87
Metadata
- Authors
- Zoni-Berisso, M., Lercari, F., Carazza, T., & Domenicucci, S.
- Venue
- Clinical Epidemiology
- Publisher
- Informa UK Limited
- Published
- 2014-06
- Volume
- 6
- Pages
- 213
- ISSN
- 1179-1349 (ISSN-L)
- OpenAlex
- W1972142091
- Cited by
- 1,273
- References
- 10
- FWCI
- 46.75
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.