Journal article
Utility of risk prediction models to detect atrial fibrillation in screened participants
- Abstract:
-
Aims:
Atrial fibrillation (AF) is associated with higher risk of stroke. While the prevalence of AF is low in the general population, risk prediction models might identify individuals for selective screening of AF. We aimed to systematically identify and compare the utility of established models to predict prevalent AF.
Methods:
Expand abstract
Systematic search of PubMed and EMBASE for risk prediction models for AF. We adapted established risk p...
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- European Journal of Preventive Cardiology Journal website
- Volume:
- 28
- Issue:
- 6
- Pages:
- 586-595
- Publication date:
- 2020-11-29
- Acceptance date:
- 2020-09-09
- DOI:
- EISSN:
-
2047-4881
- ISSN:
-
2047-4873
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1132162
- Local pid:
- pubs:1132162
- Deposit date:
- 2020-09-14
Terms of use
- Copyright holder:
- Poorthuis et al.
- Copyright date:
- 2020
- Rights statement:
- © The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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