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: http://creativecommons.org/Licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Retrospective Study |
Article Title |
Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis
|
Manuscript Source |
Unsolicited Manuscript |
All Author List |
Long-Bao Yang, Xin Gao, Meng Xu, Yong Li, Lei Dong, Xin-Di Huang, Xiao She, Dan-Yang Zhang, Qian-Wen Zhang, Chen-Yu Liu, Shu-Ting Fan and Yan Wang |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Xi’an Science and Technology Plan |
23YXYJ0172 |
|
Corresponding Author |
Yan Wang, Assistant Professor, MD, Department of Gastroenterology, The Second Affiliated Hospital of Xi’an Jiaotong University, No. 157 of Xiwu Road, Xi’an 710004, Shaanxi Province, China. sarrye@163.com |
Key Words |
Decompensated cirrhosis; Noninvasive prediction model; Spleen stiffness measurement; Liver stiffness measurement; Spleen length diameter |
Core Tip |
In this research, we developed a novel noninvasive predictive model using the LSM, SSM, and SLD to evaluate the risk of clinical decompensation in individuals with viral cirrhosis. This is a new model that has not been reported before. Our findings indicate that it outperforms existing prediction models, demonstrating greater accuracy in identifying patients at risk. As a result, it holds significant potential for supporting clinical decision-making processes. |
Publish Date |
2025-09-01 08:05 |
Citation |
<p>Yang LB, Gao X, Xu M, Li Y, Dong L, Huang XD, She X, Zhang DY, Zhang QW, Liu CY, Fan ST, Wang Y. Noninvasive model based on liver and spleen stiffness for predicting clinical decompensation in patients with cirrhosis. <i>World J Gastroenterol</i> 2025; 31(33): 107408</p> |
URL |
https://www.wjgnet.com/1007-9327/full/v31/i33/107408.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v31.i33.107408 |