Publication Name	World Journal of Hepatology
Manuscript ID	119005
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Retrospective Cohort Study
Article Title	Routine laboratory model for identifying significant fibrosis in chronic hepatitis B
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
Funding Agency and Grant Number	Funding Agency Grant Number National Nature Science Foundation of China 82272425
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.
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; In press

Received	2026-01-22 06:23
Peer-Review Started	2026-01-22 06:25
First Decision by Editorial Office Director	2026-02-26 07:50
Return for Revision	2026-02-28 05:15
Revised	2026-03-11 02:18
Publication Fee Transferred	2026-03-17 07:10
Second Decision by Editor	2026-04-20 02:54
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-04-20 09:37
Articles in Press	2026-04-20 09:37
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	1948-5182 (online)
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