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Age, sex, and setting in the etiology of stroke study (ASSESS): Study design and protocol

Azarpazhooh, MR; Mandzia, JL; Thrift, AG; Sposato, LA; Morovatdar, N; Amiri, A; Kapral, MK; ... Hachinski, V; + view all (2019) Age, sex, and setting in the etiology of stroke study (ASSESS): Study design and protocol. Journal of the Neurological Sciences , 399 pp. 209-213. 10.1016/j.jns.2019.02.024. Green open access

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Abstract

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.

Type: Article
Title: Age, sex, and setting in the etiology of stroke study (ASSESS): Study design and protocol
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jns.2019.02.024
Publisher version: https://doi.org/10.1016/j.jns.2019.02.024
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Stroke subtypes, Community-based studies, Hospital-based studies, Risk factors, Pool data analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
URI: https://discovery.ucl.ac.uk/id/eprint/10085531
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