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Publication Name World Journal of Clinical Cases
Manuscript ID 126695
DOI 10.12998/wjcc.126695
Country Egypt
Category Gastroenterology & Hepatology
Manuscript Type Minireviews
Article Title Precision stratification for hepatitis B functional cure: Biomarkers, machine learning and the combination-therapy era
Manuscript Source Invited Manuscript
All Author List Ahmed Salman
Funding Agency and Grant Number
Corresponding Author Ahmed Salman, FRACP, FRCP, Department of Internal Medicine, Kasr Alainy School of Medicine, 1 Al-Saray Street, Al-Manial, Cairo 11559, Al Qāhirah, Egypt. awea844@gmail.com
Key Words Hepatitis B virus; Functional cure; Hepatitis B surface antigen; Biomarkers; Machine learning; Hepatocellular carcinoma
Core Tip A low baseline hepatitis B surface antigen level is associated with response to several investigational regimens, but it should not be treated as a universal treatment-selection threshold. This minireview distinguishes functional cure from other antigen endpoints, separates baseline selection from on-treatment prediction, and appraises model validation, safety, and external validity. No integrated model is available for allocating curative regimens. Hepatocellular carcinoma risk persists after antigen loss; current guideline-based surveillance should continue where indicated, whereas prospective studies should evaluate risk-based refinement.
Citation Salman A. Precision stratification for hepatitis B functional cure: Biomarkers, machine learning and the combination-therapy era. World J Clin Cases 2026; In press
PDF 126695-in-press.pdf
Received
2026-08-11 03:46
Peer-Review Started
2026-08-11 03:46
First Decision by Editorial Office Director
Return for Revision
2026-09-14 07:35
Revised
2026-09-22 09:18
Publication Fee Transferred
Second Decision by Editor
2026-10-09 03:30
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-10-09 09:10
Articles in Press
2026-10-09 09:10
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2307-8960 (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.
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