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6/11/2024 2:35:34 PM | Browse: 144 | Download: 761
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Received |
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2024-01-25 09:10 |
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Peer-Review Started |
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2024-01-25 09:10 |
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First Decision by Editorial Office Director |
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2024-02-27 04:06 |
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Return for Revision |
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2024-02-27 04:06 |
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Revised |
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2024-03-05 14:40 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-04-17 09:11 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-04-25 08:14 |
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Articles in Press |
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2024-04-25 08:14 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-05-22 09:55 |
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Publish the Manuscript Online |
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2024-06-11 14:35 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Obstetrics & Gynecology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yi-Tian Zhu, Lan-Lan Xiang, Ya-Jun Chen, Tian-Ying Zhong, Jun-Jun Wang and Yu Zeng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
81870546 |
| Nanjing Medical Science and Technique Development Foundation |
YKK23151 |
| Science and Technology Development Foundation Item of Nanjing Medical University |
NMUB20210117 |
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| Corresponding Author |
Yu Zeng, PhD, Professor, Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, No. 123 Tianfei Lane, Mochou Road, Qinhuan District, Nanjing 210003, Jiangsu Province, China. zengyu@njmu.edu.cn |
| Key Words |
Large-for-gestational-age; Gestational diabetes mellitus; Predictive model; Nomogram; Triglyceride-glucose index |
| Core Tip |
Gestational diabetes mellitus (GDM) is a global problem, and the prevalence of large-for-gestational-age (LGA) is increasing. Early prediction of LGA can enable timely intervention and improve pregnancy outcomes. We developed and validated a predictive nomogram for pregnant women with GDM at risk of delivering an LGA infant. Four demographic parameters and second-trimester maternal serum biochemical markers were identified. The nomogram effectively stratified women with GDM in their second trimester based on their risk of delivering LGA infants. |
| Publish Date |
2024-06-11 14:35 |
| Citation |
Zhu YT, Xiang LL, Chen YJ, Zhong TY, Wang JJ, Zeng Y. Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus. World J Diabetes 2024; 15(6): 1242-1253 |
| URL |
https://www.wjgnet.com/1948-9358/full/v15/i6/1242.htm |
| DOI |
https://dx.doi.org/10.4239/wjd.v15.i6.1242 |
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