Refining stroke prediction in atrial fibrillation patients in an ethnically diverse population: A study protocol

Utilising data from three datasets will allow us to assess the burden and management of AF at a population level, identify trends in disease, address knowledge gaps in the management of ethnically diverse populations, and explore associations with treatment failure. Our reporting will adhere to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines.

Authors

Publication Details

Journal
Neuroepidemiology
Published
2025-05-05
DOI
https://doi.org/10.1159/000546212
Citations
1
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
1.35
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article

Refining stroke prediction in atrial fibrillation patients in an ethnically diverse population: A study protocol

Karim M. Mahawish, Irene Zeng, Rita Krishnamurthi, Valery L. Feigin et al.
1 citations
Neuroepidemiology
Acute Ischemic Stroke Management
1.35
article

Refining stroke prediction in atrial fibrillation patients in an ethnically diverse population: A study protocol

Karim M. Mahawish, Irene Zeng, Rita Krishnamurthi, Valery L. Feigin, Harvey White
article en
1 citations

Abstract

Utilising data from three datasets will allow us to assess the burden and management of AF at a population level, identify trends in disease, address knowledge gaps in the management of ethnically diverse populations, and explore associations with treatment failure. Our reporting will adhere to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines.

Neuroepidemiology
Good health and well-being
Openalex Percentile: Top 20%
Acute Ischemic Stroke Management
1.35
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