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Articles in Press
3/28/2024 7:28:56 AM | Browse: 46 | Download: 0
Category |
Surgery |
Manuscript Type |
Retrospective Cohort Study |
Article Title |
Establishment and evaluation of a prognostic model for patients with unresectable gastric cancer liver metastases
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Zheng-Yao Chang, Wen-Xing Gao, Yue Zhang, Wen Zhao, Di Wu and Lin Chen |
Funding Agency and Grant Number |
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Corresponding Author |
Lin Chen, MD, PhD, Chief, Chief Doctor, Professor, Surgeon, Department of General Surgery, The First Medical Center of Chinese PLA General Hospital, No. 28 Fuxing Road, Haidian District, Beijing 100853, China. chenlinbj@sina.com |
Key Words |
Gastric cancer; Liver metastases; Nomogram; Prognostic model; Survival analysis |
Core Tip |
This study identifies pivotal prognostic factors and introduces a nomogram model for predicting individualized prognosis in gastric cancer liver metastases (GCLM). The developed model, supported by comprehensive validation, showcases substantial potential for improving patient outcome evaluation. Notably, the incorporation of five independent risk factors demonstrates promising predictive accuracy, paving the way for enhanced clinical decision-making in managing GCLM patients, ultimately offering valuable insights for personalized treatment strategies. |
Citation |
Chang ZY, Gao WX, Zhang Y, Zhao W, Wu D, Chen L. Establishment and evaluation of a prognostic model for patients with unresectable gastric cancer liver metastases. World J Clin Cases 2024; 12(13): 2182-2193 |
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Received |
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2024-02-01 14:16 |
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Peer-Review Started |
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2024-02-01 14:16 |
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To Make the First Decision |
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Return for Revision |
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2024-02-28 08:02 |
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Revised |
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2024-03-08 02:08 |
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Second Decision |
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2024-03-28 01:51 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2024-03-28 07:28 |
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Articles in Press |
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2024-03-28 07:28 |
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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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2024-04-17 02:01 |
ISSN |
2307-8960 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
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 |
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