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Publication Name World Journal of Diabetes
Manuscript ID 53327
Country/Territory Iran
Category Endocrinology & Metabolism
Manuscript Type Prospective Study
Article Title Severity of the metabolic syndrome as a predictor of prediabetes and type 2 diabetes in first degree relatives of type 2 diabetic patients: A 15-year prospective cohort study
Manuscript Source Invited Manuscript
All Author List Rokhsareh Meamar, Masoud Amini, Ashraf Aminorroaya, Maryam Nasri, Majid Abyar and Awat Feizi
Funding Agency and Grant Number
Funding Agency Grant Number
Isfahan Endocrine and Metabolism Research Center 95017
Corresponding Author Awat Feizi, PhD, Professor, Statistician, Isfahan Endocrine and Metabolism Research Center, Isfahan University of Medical Sciences, P.O. Box 319, Hezar-Jerib Ave, Isfahan 81746-73461, Iran. awat_feiz@hlth.mui.ac.ir
Key Words Insulin resistance; Metabolic syndrome; Risk; Type 2 diabetes mellitus; Prediabetes; First degree relative
Core Tip This prospective cohort study showed that metabolic syndrome severity score at baseline, in first degree relative of type 2 diabetes mellitus patients with normal glucose tolerance, predicts the incidence of future diabetes and prediabetes. In this study, the cut off values of metabolic syndrome Z-score for predicting prediabetes and diabetes were 0.94 and 0.97, respectively. This negligible difference between two groups in terms of cut off values highlights the importance of intervention at prediabetes stage.
Citation Meamar R, Amini M, Aminorroaya A, Nasri M, Abyar M, Feizi A. Severity of the metabolic syndrome as a predictor of prediabetes and type 2 diabetes in first degree relatives of type 2 diabetic patients: A 15-year prospective cohort study. World J Diabetes 2020; 11(5): 202-212
Received
2019-12-16 07:32
Peer-Review Started
2019-12-16 07:33
To Make the First Decision
Return for Revision
2020-01-06 22:01
Revised
2020-03-16 20:44
Second Decision
2020-03-20 16:14
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-03-24 13:17
Articles in Press
2020-03-24 13:17
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-04-24 10:47
ISSN 1948-9358 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright © The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
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