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Articles Published Processes
10/13/2021 8:37:10 AM | Browse: 927 | Download: 2222
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Received |
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2021-05-31 08:04 |
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Peer-Review Started |
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2021-05-31 08:07 |
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First Decision by Editorial Office Director |
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2021-06-24 17:08 |
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Return for Revision |
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2021-06-24 17:08 |
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Revised |
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2021-07-05 10:08 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2021-08-30 03:32 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2021-08-30 09:43 |
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Articles in Press |
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2021-08-30 09:43 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2021-10-11 04:20 |
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Publish the Manuscript Online |
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2021-10-13 08:37 |
| 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) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Medicine, Research & Experimental |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Utility of oral glucose tolerance test in predicting type 2 diabetes following gestational diabetes: Towards personalized care
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Riad Abdel Latif Bayoumi, Amar Hassan Khamis, Muna A Tahlak, Taghrid F Elgergawi, Deemah K Harb, Komal S Hazari, Widad A Abdelkareem, Aya O Issa, Rakeeb Choudhury, Mohamed Hassanein, Jeyaseelan Lakshmanan and Fatheya Alawadi |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Al Jalila Foundation |
AJF2015 |
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| Corresponding Author |
Riad Abdel Latif Bayoumi, MBBS, PhD, Professor, Department of Basic Medical Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Building 14, Dubai Healthcare City, Dubai 123, United Arab Emirates. riad.bayoumi@mbru.ac.ae |
| Key Words |
Type 2 diabetes; Type 2 diabetes subtypes; Oral glucose tolerance test; Diabetes; Gestational diabetes mellitus subtypes |
| Core Tip |
The oral glucose tolerance test (OGTT) remains the gold standard for assessing the risk of postnatal diabetes in women with gestational diabetes mellitus (GDM). Both the fasting blood glucose and 2-h blood glucose tests could predict postpartum abnormal glycemic status following antenatal GDM. However, each test reflects a different pathophysiology and possible subtype of type 2 diabetes (T2D). If fasting serum insulin measurements are added to an OGTT, additional data generated could distinguish T2D pathophysiology and possible subtypes. Information obtained could be used to match the T2D subtype with relevant prevention programs such as frequent follow-ups, lifestyle modifications, and new treatment protocols. |
| Publish Date |
2021-10-13 08:37 |
| Citation |
Bayoumi RAL, Khamis AH, Tahlak MA, Elgergawi TF, Harb DK, Hazari KS, Abdelkareem WA, Issa AO, Choudhury R, Hassanein M, Lakshmanan J, Alawadi F. Utility of oral glucose tolerance test in predicting type 2 diabetes following gestational diabetes: Towards personalized care. World J Diabetes 2021; 12(10): 1778-1788
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| URL |
https://www.wjgnet.com/1948-9358/full/v12/i10/1778.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v12.i10.1778 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
