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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/51723
Title: Age, sex, and setting in the etiology of stroke study (ASSESS): Study design and protocol
Authors: Mahmoud Reza Azarpazhooh
Jennifer L. Mandzia
Amanda G. Thrift
Luciano A. Sposato
Negar Morovatdar
Amin Amiri
Moira K. Kapral
Nawaf Yassi
Cecilia Bahit
Subhash Kaul
Suvarna Alladi
Yongchai Nilanont
Mariano Coppola
Antonia Nucera
Brian Silver
David Werring
Robert Simister
Richard H. Swartz
Mayowa O. Owolabi
Bruce Ovbiagele
Vladimir Hachinski
Azienda Ospedaliera Sant'Andrea
London Health Sciences Centre
University of Melbourne
University of California, San Francisco
UCL
UCL Institute of Neurology
Monash University
University of Toronto
National Institute of Mental Health and Neuro Sciences
Faculty of Medicine, Siriraj Hospital, Mahidol University
Western University
University of Ibadan
Nizam's Institute of Medical Sciences
Ghaem Hospital
Mashhad University of Medical Sciences
University of Massachusetts Medical School
Cardiology Department
Hospital Ramón Santamarina
Keywords: Medicine
Issue Date: 15-Apr-2019
Citation: Journal of the Neurological Sciences. Vol.399, (2019), 209-213
Abstract: © 2019 Rationale: Stroke etiology and risk factors vary by age, sex, setting (hospital or community-based) and by region. Identifying these differences would improve our understanding of stroke etiology, diagnosis, and treatment. Aim: The Age, Sex and Setting in the Etiology of Stroke Study (ASSESS) is a multicenter cohort study to assess differences in stroke etiology. Methods and design: Data from all centers will be categorized according to age, sex, setting, stroke subtypes. Centers with extensive hospital- or community-based data regarding stroke from Argentina, Australia, Canada, India, Iran, Italy, Ghana, Nigeria, Thailand, the United Kingdom and the United States have agreed to participate so far. Study outcomes: The primary outcome includes differences in stroke etiology in study centers. The secondary outcomes include stroke incidence, risk factors, preventive strategies, and short- and long-term outcomes. Conclusion: ASSESS will enable comparisons of data from different regions to determine the age and sex distribution of the most common causes of stroke in each setting. This will help clinicians to tailor the assessment and treatment of stroke patients on the basis of their specific local characteristics. It will also empower stroke epidemiologists to design preventive measures by targeting the specific characteristics of each population.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/51723
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062388629&origin=inward
ISSN: 18785883
0022510X
Appears in Collections:Scopus 2019

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