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Articles Published Processes
4/2/2025 10:54:11 AM | Browse: 169 | Download: 1046
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Received |
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2024-12-31 03:40 |
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Peer-Review Started |
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2024-12-31 03:41 |
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First Decision by Editorial Office Director |
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2025-02-13 23:02 |
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Return for Revision |
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2025-02-13 23:02 |
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Revised |
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2025-02-20 09:11 |
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Publication Fee Transferred |
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2025-02-21 03:04 |
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Second Decision by Editor |
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2025-03-11 02:45 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-03-11 06:55 |
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Articles in Press |
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2025-03-11 06:55 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-03-24 06:56 |
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Publish the Manuscript Online |
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2025-04-02 10:54 |
| 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: http://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 |
Retrospective Study |
| Article Title |
Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Si-Yi Feng, Zong-Ren Ding, Jin Cheng and Hai-Bin Tu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| the Agency Natural Science Foundation of Fujian Province, China |
No. 2022J011285 and No. 2023J011480 |
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| Corresponding Author |
Hai-Bin Tu, Department of Ultrasound, Mengchao Hepatobiliary Hospital of Fujian Medical University, No. 66 Jintang Road, Jianxin Town, Cangshan District, Fuzhou 350025, Fujian Province, China. thb861126@163.com |
| Key Words |
Esophagogastric varices; Machine learning; Extreme gradient boosting; Ultrasound; Serological markers |
| Core Tip |
We constructed a noninvasive predictive model using machine learning for esophagogastric varices in hepatitis B patients. An Extreme gradient boosting model, based on ultrasound and serological markers, achieved high accuracy (area under the curve = 0.96) in predicting high-risk esophagogastric varices. Key predictive variables included albumin, prothrombin time, portal vein flow velocity and spleen stiffness. A web-based application was developed to facilitate clinical use, offering real-time risk assessment. This model provides a promising tool for targeted screening, potentially reducing the need for costly and risky endoscopic procedures in low-risk individuals. |
| Publish Date |
2025-04-02 10:54 |
| Citation |
Feng SY, Ding ZR, Cheng J, Tu HB. Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology. World J Gastroenterol 2025; 31(13): 104697
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| URL |
https://www.wjgnet.com/1007-9327/full/v31/i13/104697.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i13.104697 |
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.
