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Articles Published Processes
4/25/2025 8:23:00 AM | Browse: 3 | Download: 0
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Received |
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2024-11-18 10:20 |
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Peer-Review Started |
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2024-11-26 02:46 |
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To Make the First Decision |
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Return for Revision |
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2025-02-19 07:10 |
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Revised |
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2025-02-28 14:56 |
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Second Decision |
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2025-03-21 03:18 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-03-21 11:42 |
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Articles in Press |
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2025-03-21 11:42 |
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Publication Fee Transferred |
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2025-03-06 05:25 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-04-18 00:59 |
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Publish the Manuscript Online |
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2025-04-25 08:23 |
| 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 |
Systematic Reviews |
| Article Title |
Multivariable prognostic models for post-hepatectomy liver failure: An updated systematic review
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiao Wang, Ming-Xiang Zhu, Jun-Feng Wang, Pan Liu, Li-Yuan Zhang, You Zhou, Xi-Xiang Lin, Ying-Dong Du and Kun-Lun He |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The Science and Technology Innovation 2030 - Major Project |
2021ZD0140406 |
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| Corresponding Author |
Kun-Lun He, Medical Big Data Research Center, Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. hekunlun301dr@163.com |
| Key Words |
Hepatocellular carcinoma; Postoperative liver failure; Prognostic model; Systematic review; Risk of bias |
| Core Tip |
Currently, with the exploration of new meaningful predictive variables and modeling methods, PHLF prognostic models are developing rapidly. However, for existing models, the issues of the analysis domain are the main reason for being assessed as having a high risk of bias. Therefore, researchers should also concentrate on validating existing models to realize their clinical application potential. Additionally, the development of new tools for evaluating model quality may be necessary, and future efforts must follow strict guidelines to maintain the integrity of the models. |
| Publish Date |
2025-04-25 08:23 |
| Citation |
<p>Wang X, Zhu MX, Wang JF, Liu P, Zhang LY, Zhou Y, Lin XX, Du YD, He KL. Multivariable prognostic models for post-hepatectomy liver failure: An updated systematic review. <i>World J Hepatol</i> 2025; 17(4): 103330</p> |
| URL |
https://www.wjgnet.com/1948-5182/full/v17/i4/103330.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v17.i4.103330 |
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