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Articles Published Processes
3/26/2025 4:06:56 AM | Browse: 15 | Download: 33
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Received |
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2024-12-25 10:42 |
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Peer-Review Started |
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2025-01-03 09:09 |
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To Make the First Decision |
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Return for Revision |
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2025-02-14 08:51 |
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Revised |
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2025-02-28 08:03 |
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Second Decision |
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2025-03-10 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-03-10 08:29 |
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Articles in Press |
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2025-03-10 08:29 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-03-17 04:35 |
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Publish the Manuscript Online |
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2025-03-26 04:06 |
| ISSN |
1948-5182 (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/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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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 |
Minireviews |
| Article Title |
Hepatic cirrhosis and decompensation: Key indicators for predicting mortality risk
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Sara Del Cioppo, Jessica Faccioli and Lorenzo Ridola |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Lorenzo Ridola, Associate Professor, PhD, Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Viale dell'Università 37, Rome 00185, Italy. lorenzo.ridola@uniroma1.it |
| Key Words |
Liver cirrhosis; Prognostic score; Decompensation; Mortality; Sarcopenia; Child-Pugh; Model for end-stage liver disease; Artificial intelligence; Survival; Obesity |
| Core Tip |
Identifying prognostic factors is crucial for improving risk prediction and guide clinical management in cirrhotic patients. While traditional models like model for end-stage liver disease and Child-Turcotte-Pugh are useful and provide important prognostic information, incorporating variables such as nutrition assessment, sarcopenia and muscle function, may offer a more comprehensive understanding of disease progression. This approach facilitates early detection of high-risk patients and enable timely interventions to avoid decompensation. So, considering additional prognostic factors can help clinicians to improve both outcomes and quality of life of cirrhotic patients. Furthermore, today, artificial intelligence can enhance the assessment of prognostic factors by analyzing complex data patterns. |
| Publish Date |
2025-03-26 04:06 |
| Citation |
<p>Del Cioppo S, Faccioli J, Ridola L. Hepatic cirrhosis and decompensation: Key indicators for predicting mortality risk. <i>World J Hepatol</i> 2025; 17(3): 104580</p> |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i3/104580.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i3.104580 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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