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

  • on behalf of ASSESS investigators
  • Mashhad University of Medical Sciences
  • London Health Science Centre
  • University of Western Ontario
  • Monash University
  • University of Toronto Faculty of Medicine
  • Royal Melbourne Hospital
  • Cardiology Department
  • Nizam's Institute of Medical Sciences
  • National Institute of Mental Health and Neuro Sciences
  • Hospital Ramon
  • Sapienza University of Rome
  • University of Massachusetts Medical School
  • University College London
  • Hospital for Tropical Diseases
  • Sunnybrook Health Sciences Centre
  • University of Ibadan
  • University of California San Francisco

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)209-213
Number of pages5
JournalJournal of the Neurological Sciences
Volume399
DOIs
Publication statusPublished - 15 Apr 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Age
  • Community-based studies
  • Etiology
  • Hospital-based studies
  • Pool data analysis
  • Risk factors
  • Stroke
  • Stroke subtypes

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