Publication Name	World Journal of Clinical Cases
Manuscript ID	92656
Country	China

Category	Surgery
Manuscript Type	Retrospective Cohort Study
Article Title	Establishment and evaluation of a prognostic model for patients with unresectable gastric cancer liver metastases
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
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

Received	2024-02-01 14:16
Peer-Review Started	2024-02-01 14:16
To Make the First Decision
Return for Revision	2024-02-28 08:02
Revised	2024-03-08 02:08
Second Decision	2024-03-28 01:51
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2024-03-28 07:28
Articles in Press	2024-03-28 07:28
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	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/
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