A Comprehensive Model to Predict Atrial Fibrillation in Cryptogenic Stroke: The Decryptoring Score-Reference-Cited by-同舟云学术

A Comprehensive Model to Predict Atrial Fibrillation in Cryptogenic Stroke: The Decryptoring Score

Published:2022-01 Issue:1 Volume:31 Page:106161
ISSN:1052-3057
Container-title:Journal of Stroke and Cerebrovascular Diseases
language:en
Short-container-title:Journal of Stroke and Cerebrovascular Diseases

Author:

Vera Alberto,Cecconi Alberto,Ximénez-Carrillo Álvaro,Ramos Carmen,Martínez-Vives Pablo^ORCID,Lopez-Melgar Beatriz,Sanz-García Ancor^ORCID,Ortega Guillermo^ORCID,Aguirre Clara^ORCID,Vivancos José,Jiménez-Borreguero Luis Jesús^ORCID,Alfonso Fernando

Funder

Sociedad Española de Cardiología

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Rehabilitation,Surgery

Reference20 articles.

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3. Stroke. Classification and diagnostic criteria. Ad hoc editorial committee of the task force on cerebrovascular diseases of SEN;Arboix;Neurologia,1998

4. Stroke. Diagnosis and therapeutic management of cerebrovascular disease;Ustrell-Roig;Rev Esp Cardiol,2007

5. Cryptogenic stroke and underlying atrial fibrillation;Sanna;N Engl J Med,2014

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3. Cardiac Blood-Based Biomarkers of Myocardial Stress as Predictors of Atrial Fibrillation Development in Patients With Embolic Stroke of Undetermined Source/Cryptogenic Stroke: A Systematic Review and Meta-Analysis;Journal of Clinical Neurology;2024

4. Left Atrial Strain Predicts Stroke Recurrence and Death in Patients With Cryptogenic Stroke;The American Journal of Cardiology;2024-01

5. Risk Stratification Tools to Guide a Personalized Approach for Cardiac Monitoring in Embolic Stroke of Undetermined Source;Journal of the American Heart Association;2023-09-19