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Articles Published Processes
6/26/2026 9:50:21 AM | Browse: 0 | Download: 0
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Received |
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2026-01-22 06:23 |
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Peer-Review Started |
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2026-01-22 06:25 |
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First Decision by Editorial Office Director |
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2026-02-26 07:50 |
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Return for Revision |
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2026-02-28 05:15 |
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Revised |
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2026-03-11 02:18 |
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Publication Fee Transferred |
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2026-03-17 07:10 |
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Second Decision by Editor |
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2026-04-20 02:54 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-04-20 09:37 |
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Articles in Press |
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2026-04-20 09:37 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-05-12 01:16 |
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Publish the Manuscript Online |
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2026-06-26 09:50 |
| 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: http://creativecommons.org/Licenses/by-nc/4.0/ |
| 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
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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 Cohort Study |
| Article Title |
Routine laboratory model for identifying significant fibrosis in chronic hepatitis B
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Ting-Ting Wang, Yi-Li Chu, Yi-Qiang Lou, Rou-Yi Yang, Mao-Mao Pu, Lian-Jiang Shan, Lu Huang, Shan-Shan Chen and Hai-Jun Huang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Nature Science Foundation of China |
82272425 |
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| Corresponding Author |
Hai-Jun Huang, Professor, Researcher, Center for General Practice Medicine, Department of Infectious Disease, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), No. 158 Shangtang Road, Hangzhou 310014, Zhejiang Province, China. huanghaijun@hmc.edu.cn |
| Key Words |
Chronic hepatitis B; Liver fibrosis; Non-invasive diagnosis; Machine learning; Ensemble learning; Explainable artificial intelligence; External validation |
| Core Tip |
In this study, a laboratory-based machine-learning model was developed and externally validated for noninvasive identification of significant fibrosis in patients with chronic hepatitis B using biopsy-confirmed multicenter cohorts. The model showed stable discrimination and acceptable calibration across independent hospitals, and retained risk-ranking ability in an exploratory population-based cohort with surrogate fibrosis labels. Because it relies only on routinely available laboratory tests, this model may serve as a practical complementary tool for fibrosis risk stratification, particularly in settings where elastography is unavailable or inconsistently applied. |
| Publish Date |
2026-06-26 09:50 |
| Citation |
Wang TT, Chu YL, Lou YQ, Yang RY, Pu MM, Shan LJ, Huang L, Chen SS, Huang HJ. Routine laboratory model for identifying significant fibrosis in chronic hepatitis B. World J Hepatol 2026; 18(6): 119005
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| URL |
https://www.wjgnet.com/1948-5182/full/v18/i6/119005.htm |
| DOI |
https://doi.org/10.4254/wjh.119005 |
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