A model to predict risk of stroke in middle-aged adults with type 2 diabetes generated from a nationwide population-based cohort study in Korea-Reference-Cited by-同舟云学术

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A model to predict risk of stroke in middle-aged adults with type 2 diabetes generated from a nationwide population-based cohort study in Korea

Published:2020-05 Issue: Volume:163 Page:108157
ISSN:0168-8227
Container-title:Diabetes Research and Clinical Practice
language:en
Short-container-title:Diabetes Research and Clinical Practice

Author:

Kim Mee-Kyoung,Han Kyungdo,Cho Jae-Hyoung,Kwon Hyuk-Sang,Yoon Kun-Ho,Lee Seung-Hwan

Funder

Institute of Clinical Medicine Research in the Yeouido St. Mary’s hospital, The Catholic University of Korea

National Research Foundation of Korea Grant funded by the Korean Government

Publisher

Elsevier BV

Subject

Endocrinology,General Medicine,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference40 articles.

1. Clinical Practice Guidelines for Type 2 Diabetes Mellitus in Korea;Kim;Diabetes Metab J.,2019

2. Development of a cardiovascular diseases risk prediction model and tools for Chinese patients with type 2 diabetes mellitus: A population-based retrospective cohort study;Wan;Diabetes Obes Metab,2018

3. Development and validation of a total coronary heart disease risk score in type 2 diabetes mellitus;Yang;Am J Cardiol,2008

4. Effect of a multifactorial intervention on mortality in type 2 diabetes;Gaede;N Engl J Med,2008

5. An analysis of calibration and discrimination among multiple cardiovascular risk scores in a modern multiethnic cohort;DeFilippis;Ann Intern Med,2015

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2. Influencing factors of stroke in patients with type 2 diabetes: A systematic review and meta-analysis;PLOS ONE;2024-06-24

3. Physical Activity and Risk of Major Diabetes-Related Complications in Individuals With Diabetes: A Systematic Review and Meta-Analysis of Observational Studies;Diabetes Care;2022-12-01

4. Multimorbidity patterns by health-related quality of life status in older adults: An association rules and network analysis utilizing Korean National Health and Nutrition Examination Survey;Epidemiology and Health;2022-11-29

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