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Identifying optimal cut points of National Institutes of Health Stroke Scale to Predict Mortality: A Population-based Assessment (P11-5.016)

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Year: 2023
Type: article
Study design: Observational Study
Source: Neurology
DOI: 10.1212/wnl.0000000000203611
Authors: Robert Stanton, David Robinson, Mathew Reeves, Lili Ding, Jane Khoury, Mary Haverbusch, Kathleen Alwell, Opeolu Adeoye, Elisheva Coleman, Felipe De Los Rios La Rosa, Stacie Demel, Simona Ferioli, Matthew Flaherty, Adam Jasne, Pooja Khatri, Jason Mackey, Sharyl Martini, Eva Mistry, Sabreena Slavin, Michael Star, Daniel Woo, Kyle Walsh, Brett Kissela, Dawn Kleindorfer
Institutions: University of Cincinnati, Michigan State University, Washington University in St. Louis, University of Chicago Medical Center, University of Cincinnati Medical Center, Yale University, Indiana University, Veterans Health Administration, The University of Kansas Health System, University of Michigan
Language: English

Topic: Acute Ischemic Stroke Management
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W4367304749
FWCI: 0.399
Cites:
Cited by: 2
Related to: 10
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