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Articles Published Processes
4/2/2025 10:54:11 AM | Browse: 106 | Download: 598
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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 |
| URL |
https://www.wjgnet.com/1007-9327/full/v31/i13/104697.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v31.i13.104697 |
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