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Publication Name World Journal of Gastroenterology
Manuscript ID 113492
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension
Manuscript Source Unsolicited Manuscript
All Author List Yan-Qiu Li, Zhuo-Jun Li, Yong-Qi Li, Ying Feng and Xian-Bo Wang
Funding Agency and Grant Number
Funding Agency Grant Number
the High-level Chinese Medicine Key Discipline Construction Project zyyzdxk-2023005
Capital’s Funds for Health Improvement and Research 2024-1-2173
National Natural Science Foundation of China 82474419
National Natural Science Foundation of China 82474426
Beijing Municipal Natural Science Foundation 7232272
Beijing Traditional Chinese Medicine Technology Development Fund Project BJZYZD-2023-12
Corresponding Author Xian-Bo Wang, Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jing Shun East Street, Chaoyang District, Beijing 100015, China. wangxb@ccmu.edu.cn
Key Words Hepatitis B; Liver cirrhosis; Clinically significant portal hypertension; Machine learning; Liver-related events; Prediction model
Core Tip This study developed and validated machine learning models to predict liver-related events in patients with compensated hepatitis B virus-related cirrhosis and clinically significant portal hypertension. Among five models, extreme gradient boosting and random forest achieved the best accuracy and clinical utility. The liver stiffness measurement-to-platelet ratio (LPR) emerged as the most influential predictor, interacting with hemoglobin, international normalized ratio, and spleen thickness. These findings highlight machine learning based on LPR as a robust noninvasive method and provide a novel, interpretable tool for early risk stratification and personalized management in compensated cirrhosis.
Citation Li YQ, Li ZJ, Li YQ, Feng Y, Wang XB. Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension. World J Gastroenterol 2025; In press
Received
2025-08-27 23:13
Peer-Review Started
2025-08-27 23:13
First Decision by Editorial Office Director
2025-11-04 09:38
Return for Revision
2025-11-04 09:38
Revised
2025-11-22 15:46
Publication Fee Transferred
Second Decision by Editor
2025-12-17 02:40
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-17 13:53
Articles in Press
2025-12-17 13:53
Edit the Manuscript by Language Editor
Typeset the Manuscript
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: https://creativecommons.org/Licenses/by-nc/4.0/
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