Fibrosis-4plus score: a novel machine learning-based tool for screening high-risk varices in compensated cirrhosis (CHESS2004): an international multicenter study

The FIB-4plus score effectively predicted EV and HRV in patients with compensated cirrhosis, providing clinicians with a valuable tool for optimizing patient management and outcomes.

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Publication Details

Journal
Clinical and Molecular Hepatology
Published
2025-02-05
DOI
https://doi.org/10.3350/cmh.2024.0898
Citations
6
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
8.13

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article

Fibrosis-4plus score: a novel machine learning-based tool for screening high-risk varices in compensated cirrhosis (CHESS2004): an international multicenter study

Jiaojiao Xu, Shenghong Ju, Wei Rao, Juan Tang et al.
6 citations
Clinical and Molecular Hepatology
Liver Disease Diagnosis and Treatment
8.13
article

Fibrosis-4plus score: a novel machine learning-based tool for screening high-risk varices in compensated cirrhosis (CHESS2004): an international multicenter study

Jiaojiao Xu, Shenghong Ju, Wei Rao, Juan Tang, Ying Guo, Xiaolong Qi, Yonghe Zhou, S M Zhang, Linxue Qian, Li Bian, Shanghao Liu, Jianzhong Ma, Christoph Frank Dietrich, Ivica Grgurević, Tingyu Wang, Anita Madir, Jiansong Ji, Kristian Podrug, Ruiling He, Bingtian Dong, Huizhen Fan, Wei Liu, Huixiong Xu, Shaoting Zhang, Chaoxue Zhang, Jinhua Shao, Chuan Liu, Xin Zhang, Guo Zhang, Won Bae Kim, Xin Li, Kun Wang, Hui Liu, Xuemei Wang, Xinyu Zhang, Yao Zhang, Yuping Chen, Wen-Juan Wang, Yihua Wang, Xiaomei Chen, Yang Liu, Liting Zhang, Li Yin, Qiang Yan, Ping An, Hui Huang, Meiqin Su, Yanni Liu, Fei Chen, Zhongwei Zhao, Sumei Ma, Fanbin He, Zhengzi Geng, Liyun Zheng, Qiong Yan, Tao Ren, Fang Ai, Yunxiao Liang, Yanqing Huang, Zhaowei Tong, Бо Лю, Jia Wang
article en
6 citations

Abstract

The FIB-4plus score effectively predicted EV and HRV in patients with compensated cirrhosis, providing clinicians with a valuable tool for optimizing patient management and outcomes.

Clinical and Molecular HepatologyVol. 31(3)
Seoul National University (KR), Sun Yat-sen University (CN), Shanxi Medical University (CN), University of Zagreb (HR), Capital Medical University (CN), Anhui Medical University (CN), Yichun University (CN), Fudan University (CN), WuXi AppTec (China) (CN), University Hospital Dubrava (HR), Seoul Metropolitan Government (KR), Affiliated Hospital of Southwest Medical University (CN), Shenzhen Metro (China) (CN), SNUH SMG-SNU Boramae Medical Center (KR), Hirslanden Klinik Beau-Site (CH), Huzhou Central Hospital (CN), Zhongda Hospital Southeast University (CN), North China University of Science and Technology Affiliated Hospital (CN), Lishui Central Hospital (CN), Tianjin People's Hospital (CN), Zoucheng People's Hospital (CN), Zhongshan Hospital (CN), The People's Hospital of LinXia (CN), Group Sense (China) (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Tibet Autonomous Region People's Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), Lanzhou City University (CN), Beijing Friendship Hospital (CN), Jiangsu Hengrui Medicine (China) (CN), Beijing Ditan Hospital (CN), Zigong First People's Hospital (CN), The Sixth People's Hospital of Shenyang (CN), Fourth People's Hospital of Taiyuan (CN), Shanxi Provincial People’s Hospital (CN), First Hospital of Lanzhou University (CN), Lanzhou University (CN), Southeast University (CN), University of Split (HR)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Southeast University
Openalex Percentile: Top 3%
Liver Disease Diagnosis and Treatment
8.13
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