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Articles Published Processes
1/11/2024 6:17:31 AM | Browse: 196 | Download: 516
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Received |
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2023-08-22 05:27 |
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Peer-Review Started |
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2023-08-22 05:28 |
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To Make the First Decision |
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Return for Revision |
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2023-09-26 20:33 |
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Revised |
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2023-10-12 10:23 |
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Second Decision |
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2023-11-20 06:06 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-12-01 06:44 |
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Articles in Press |
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2023-12-01 06:44 |
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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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2024-01-04 02:29 |
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Publish the Manuscript Online |
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2024-01-11 06:17 |
| ISSN |
1948-5204 (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) 2023. 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 |
Retrospective Study |
| Article Title |
Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Jin Li, Yu-Ming Jia, Zhi-Lei Zhang, Cheng-Yu Liu, Zhan-Wu Jiang, Zhi-Wei Hao and Li Peng |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Li Peng, MD, Director, Director, Doctor, Doctor, Department of Hepatological Surgery, The Fourth Hospital of Hebei Medical University, No. 12 Health Road, Chang’an District, Shijiazhuang 050011, Hebei Province, China. pengli5555555@163.com |
| Key Words |
Primary liver cancer; Intraoperative bleeding; Machine learning; Model |
| Core Tip |
A prediction model for significant intraoperative blood loss in patients with primary hepatic malignancies was constructed in this retrospective analysis. Logistic regression analysis identified four preoperative clinical factors associated with intraoperative bleeding: ascites, history of alcohol consumption, TNM staging, and albumin-bilirubin score. These factors were used to construct a prediction model that demonstrated good accuracy in assessing the risk of intraoperative bleeding. Implementation of this model has the potential to enhance personalized surgical planning, leading to safer and more effective treatment for patients with hepatic malignancies. |
| Publish Date |
2024-01-11 06:17 |
| Citation |
Li J, Jia YM, Zhang ZL, Liu CY, Jiang ZW, Hao ZW, Peng L. Development and validation of a machine learning-based early prediction model for massive intraoperative bleeding in patients with primary hepatic malignancies. World J Gastrointest Oncol 2024; 16(1): 90-101 |
| URL |
https://www.wjgnet.com/1948-5204/full/v16/i1/90.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v16.i1.90 |
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