BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
10/12/2026 6:27:05 AM | Browse: 4 | Download: 2
 |
Received |
|
2026-06-26 01:03 |
|
Peer-Review Started |
|
2026-06-28 23:54 |
 |
First Decision by Editorial Office Director |
|
|
|
Return for Revision |
|
2026-07-09 05:44 |
|
Revised |
|
2026-07-20 13:59 |
|
Publication Fee Transferred |
|
2026-08-03 13:21 |
|
Second Decision by Editor |
|
2026-08-25 00:03 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2026-09-16 09:39 |
|
Articles in Press |
|
2026-09-16 09:39 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2026-09-23 09:57 |
|
Publish the Manuscript Online |
|
2026-10-12 06:27 |
| ISSN |
1948-9358 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Endocrinology & Metabolism |
| Manuscript Type |
Prospective Study |
| Article Title |
Elevated triglyceride-glucose index predicts poor third-trimester glycemic control among gestational diabetes mellitus women: A prospective study in Shanghai
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiu-Qi Zhang, Cai-Xia Cheng, Zhen Duan, Rui-Qi Cai, Xiang-Jin Gao, Rui Zhang, Qing Yang and Rui-Ping Wang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Clinical Research Program of Shanghai Municipal Health Commission |
No. 202240371 |
| the Science and Technology Research Project in Songjiang District |
No. 22SJKJGG53 |
| the Clinical Research Plan of SHDC |
No. SHDC2022CRS053 |
| the Clinical Research Plan of SHDC |
No. SHDC2024CRX032 |
| the Intelligence Fund of Shanghai Skin Diseases Hospital |
No. 2021KYQD01 |
| the Shanghai Talent Development Fund |
No. 2021073 |
|
| Corresponding Author |
Rui-Ping Wang, Chief Physician, MD, PhD, Professor, Clinical Research Center, Shanghai Skin Diseases Hospital, No. 1278 Baode Road, Jing’an District, Shanghai 200443, China. w19830901@126.com |
| Key Words |
Gestational diabetes mellitus; Triglyceride-glucose index; Group-based trajectory model; Abnormal plasma glucose prevalence; Predict |
| Core Tip |
The elevated triglyceride-glucose (TyG) index was negatively associated with good plasma glucose control in late pregnancy among women with gestational diabetes mellitus (GDM). TyG index less than 9.3 could predict good plasma glucose control in third trimester, particularly among GDM women with older age (≥ 35years), and overweight (body mass index ≥ 24 kg/m2). In the future, measuring fasting plasma glucose and triglyceride levels in pregnant women with GDM at 24-28 gestational weeks and calculating TyG index, then this index could serve as an effective tool for predicting glycemic control status in late pregnancy among GDM women. |
| Publish Date |
2026-10-12 06:27 |
| Citation |
Zhang XQ, Cheng CX, Duan Z, Cai RQ, Gao XJ, Zhang R, Yang Q, Wang RP. Elevated triglyceride-glucose index predicts poor third-trimester glycemic control among gestational diabetes mellitus women: A prospective study in Shanghai. World J Diabetes 2026; 17(10): 124659
|
| URL |
https://www.wjgnet.com/1948-9358/full/v17/i10/124659.htm |
| DOI |
https://doi.org/10.4239/wjd.124659 |
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.
