CrossRef Text and Data Mining
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How to Identify Patients at Risk of Silent Atrial Fibrillation after Cryptogenic Stroke: Potential Role of P Wave Dispersion
Maurizio Acampa, Pietro Enea Lazzerini, Giuseppe Martini
J Stroke. 2017;19(2):239-241.   Published online May 2, 2017
DOI: https://doi.org/10.5853/jos.2016.01620

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How to Identify Patients at Risk of Silent Atrial Fibrillation after Cryptogenic Stroke: Potential Role of P Wave Dispersion
Journal of Stroke. 2017;19(2):239-241   Crossref logo
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Paroxysmal atrial fibrillation in cryptogenic stroke
Therapeutics and Clinical Risk Management. 2011;33   Crossref logo
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Cryptogenic stroke: Is silent atrial fibrillation the culprit?
Heart Rhythm. 2015;12(1):234-241   Crossref logo
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Prolonged Cardiac Monitoring to Detect Atrial Fibrillation after Cryptogenic Stroke or Transient Ischemic Attack: A Meta-Analysis of Randomized Controlled Trials
Annals of Noninvasive Electrocardiology. 2015;21(4):382-388   Crossref logo
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P-484 P wave dispersion predicts recurrence of paroxysmal atrial fibrillation in patients with Wolf-Parkinson-White syndrome after successful catheter ablation
EP Europace. 2003;   Crossref logo
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Atrial fibrillation and silent stroke: links, risks, and challenges
Vascular Health and Risk Management. 2016;65   Crossref logo
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Atrial fibrillation puts patients at more risk of death after first stroke
The Lancet. 1997;349(9050):479   Crossref logo
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Risk factors for thromboembolism during aspirin therapy in patients with atrial fibrillation: The stroke prevention in atrial fibrillation study
Journal of Stroke and Cerebrovascular Diseases. 1995;5(3):147-157   Crossref logo
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Increasing the yield of atrial fibrillation detection in cryptogenic stroke using risk factor stratification: a more satisfying approach
European Journal of Neurology. 2015;23(2):239-240   Crossref logo
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P wave dispersion is significantly higher in patients with paroxysmal atrial fibrillation. The pilot study
Europace. 2001;2:A14-A14   Crossref logo
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