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Articles Published Processes
5/13/2025 8:31:12 AM | Browse: 213 | Download: 550
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Received |
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2024-12-24 06:23 |
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Peer-Review Started |
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2024-12-24 06:23 |
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First Decision by Editorial Office Director |
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2025-02-18 02:29 |
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Return for Revision |
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2025-02-18 02:29 |
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Revised |
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2025-03-02 16:15 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-03-27 02:35 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-03-27 06:02 |
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Articles in Press |
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2025-03-27 06:02 |
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Edit the Manuscript by Language Editor |
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2025-03-28 07:36 |
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Typeset the Manuscript |
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2025-05-07 00:52 |
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Publish the Manuscript Online |
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2025-05-13 08:31 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2025. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Triglyceride-glucose index in predicting gastric cancer prognosis: A need for caution
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Yi-Fan Zhao, Jia-Hui Lv, De-Fang Chen, Zhi-Hui Wang, Yun Teng, Michael Ntim, Min Xia, Shao Li and Bin Wang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Sciences Foundation of China |
82301700 and 82471464 |
| Liaoning Province Natural Science Foundation Project |
2023-MS-266 and 2024-MS-157 |
| Youth Talent Cultivation Fund Key Project of Dalian Medical University |
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| Scientific Research Projects from Wuhan Municipal Health Commission |
WX23Z26 |
| Research Project Plan of the Qingpu Branch of Zhongshan Hospital |
QYT2023-02 |
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| Corresponding Author |
Bin Wang, Liaoning Provincial Key Laboratory of Cerebral Diseases, College of Basic Medical Sciences, National-Local Joint Engineering Research Center for Drug Research, Dalian Medical University, No. 9 West Section, Lvshun South Road, Dalian 116000, Liaoning Province, China. wb101900@126.com |
| Key Words |
Triglyceride-glucose index; Gastric cancer; Prognostic biomarker; Glycolipid metabolism; Overall survival; Progression-free survival |
| Core Tip |
The triglyceride-glucose index, a straightforward marker of insulin resistance, demonstrates potential as a prognostic tool for gastric cancer, correlating with diminished overall survival and progression-free survival. However, its limited cancer specificity, inconsistent cutoff values, and ambiguous mechanistic role in tumor progression necessitate cautious interpretation. Future research should aim to integrate the triglyceride-glucose index with other cancer-specific biomarkers to enhance prognosis prediction and tailor treatment strategies. Prospective, multicenter studies are crucial for validating its clinical utility. |
| Publish Date |
2025-05-13 08:31 |
| Citation |
Zhao YF, Lv JH, Chen DF, Wang ZH, Teng Y, Ntim M, Xia M, Li S, Wang B. Triglyceride-glucose index in predicting gastric cancer prognosis: A need for caution. World J Gastroenterol 2025; 31(18): 104525
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| URL |
https://www.wjgnet.com/1007-9327/full/v31/i18/104525.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i18.104525 |
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.
