Retrospective Cohort Study
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Mar 27, 2025; 17(3): 97767
Published online Mar 27, 2025. doi: 10.4254/wjh.v17.i3.97767
Establish and validate an artificial neural networks model used for predicting portal vein thrombosis risk in hepatitis B-related cirrhosis patients
Pei-Pei Meng, Fei-Xiang Xiong, Jia-Liang Chen, Yang Zhou, Xiao-Li Liu, Xiao-Min Ji, Yu-Yong Jiang, Yi-Xin Hou
Pei-Pei Meng, Fei-Xiang Xiong, Jia-Liang Chen, Yang Zhou, Xiao-Min Ji, Yu-Yong Jiang, Yi-Xin Hou, Center of Integrative Chinese and Western Medicine, Beijing Ditan Hospital affiliated to Capital Medical University, Beijing 100102, China
Xiao-Li Liu, Center of Integrative Medicine, Beijing Ditan Hospital Affiliated to Capital Medical, Beijing 100015, China
Co-first authors: Pei-Pei Meng and Fei-Xiang Xiong.
Co-corresponding authors: Yu-Yong Jiang and Yi-Xin Hou.
Author contributions: Hou YX, Meng PP and Zhou Y designed the study and interpreted the results; Liu XL, Chen JL, Xiong FX, Jiang YY and Ji XM collected the data and carried out analysis. All authors read and approved the final manuscript.
Supported by The Beijing Hospitals Authority Youth Programme, No. QMl220201802.
Institutional review board statement: The study was approved by the Ethics Committee of Beijing Ditan Hospital, Capital Medical University. Written informed consent was obtained from each patient. All procedures followed were by the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008.
Informed consent statement: Written informed consent was obtained from each patient.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest concerning the publication of this research report.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement- checklist of items.
Data sharing statement: The data used in this study are not publicly available due to privacy or ethical restrictions.
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/
Corresponding author: Yi-Xin Hou, PhD, Chief Doctor, Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Street, Chaoyang District, Beijing 100020, China. xuexin162@163.com
Received: June 7, 2024
Revised: November 24, 2024
Accepted: February 24, 2025
Published online: March 27, 2025
Processing time: 291 Days and 12.5 Hours
Core Tip

Core Tip: An artificial neural network was developed to predict portal vein thrombosis (PVT) risk in hepatitis B-induced cirrhosis. The model outperformed existing scoring systems in predicting PVT incidence at three and five years intervals. Decision curve analysis and calibration curves highlighted superior clinical utility and benefits.