BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
7/25/2025 12:09:47 PM | Browse: 133 | Download: 707
 |
Received |
|
2025-05-19 08:00 |
 |
Peer-Review Started |
|
2025-05-19 08:00 |
 |
First Decision by Editorial Office Director |
|
2025-05-27 19:06 |
 |
Return for Revision |
|
2025-05-28 12:31 |
 |
Revised |
|
2025-06-04 14:14 |
 |
Publication Fee Transferred |
|
2025-06-08 12:03 |
 |
Second Decision by Editor |
|
2025-07-08 02:44 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2025-07-08 06:21 |
 |
Articles in Press |
|
2025-07-08 06:21 |
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2025-07-16 03:56 |
 |
Publish the Manuscript Online |
|
2025-07-25 12:09 |
| ISSN |
1948-5182 (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
|
| 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Analysis of gastric electrical rhythm in patients with metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xi-Xi Wang, Chun Yan, Su-Juan Wang, Hong Zhu, Chang-Chun Cao, Li Wu, Shuang Wang, Ji Hu and Hong-Hong Zhang |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Noncommunicable Chronic Diseases-National Science and Technology Major Project |
2023ZD0507200 |
| The Suqian Sci Tech Program No. Z2023106; National Natural Science Foundation of China |
82071234, 31400947 and 82170836 |
| Gusu Talent Program |
GSWS2022030 |
| The Clinical Research Center of Neurological Disease of The Second Affiliated Hospital of Soochow University |
ND2024A02 |
|
| Corresponding Author |
Hong-Hong Zhang, Professor, Clinical Research Center of Neurological Disease, Department of Endocrinology, The Second Affiliated Hospital of Soochow University, 1055 San-Xiang Road, Suzhou, Suzhou 215000, Jiangsu Province, China. zhanghonghong@suda.edu.cn |
| Key Words |
Type 2 diabetes mellitus; Gastric electrical rhythm; Electrogastrogram; Metabolic dysfunction-associated steatotic liver disease; Diabetic gastric motility disorders |
| Core Tip |
This study identifies metabolic dysfunction-associated steatotic liver disease (MASLD) as an independent risk factor for diabetic gastric motility disorders (DGMD) in type 2 diabetes patients, confirmed by electrogastrogram. Longer diabetes duration, elevated fasting blood glucose, and lower 25-hydroxyvitamin D levels synergistically increase DGMD risk. Early intervention for MASLD may prevent diabetic gastroparesis. |
| Publish Date |
2025-07-25 12:09 |
| Citation |
Wang XX, Yan C, Wang SJ, Zhu H, Cao CC, Wu L, Wang S, Hu J, Zhang HH. Analysis of gastric electrical rhythm in patients with metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus. World J Hepatol 2025; 17(7): 109067 |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i7/109067.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i7.109067 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.