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Articles Published Processes
1/18/2025 8:11:59 AM | Browse: 45 | Download: 178
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Received |
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2024-04-10 08:20 |
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Peer-Review Started |
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2024-04-10 08:20 |
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To Make the First Decision |
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Return for Revision |
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2024-09-24 09:40 |
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Revised |
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2024-10-01 09:02 |
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Second Decision |
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2024-11-06 02:41 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-11-06 06:26 |
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Articles in Press |
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2024-11-06 06:26 |
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Publication Fee Transferred |
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2024-11-08 02:29 |
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Edit the Manuscript by Language Editor |
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2024-11-12 12:34 |
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Typeset the Manuscript |
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2024-11-15 01:53 |
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Publish the Manuscript Online |
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2025-01-18 08:11 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Oncology |
| Manuscript Type |
Prospective Study |
| Article Title |
Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Guan-Zhong Liang, Xiao-Sheng Li, Zu-Hai Hu, Qian-Jie Xu, Fang Wu, Xiang-Lin Wu and Hai-Ke Lei |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Hai-Ke Lei, Associate Professor, The Research Center of Big Data, Chongqing University Cancer Hospital, No. 181 Hanyu Road, Shapingba District, Chongqing 400030, China. tohaike@163.com |
| Key Words |
Gastric carcinoma; Prediction; Overall survival; Nomogram; Prospective |
| Core Tip |
One of the main contributions of this study is that we developed an accessible web-based tool that allows clinicians to easily input patient data and obtain survival predictions, thereby enhancing the model's clinical applicability. This model provides insights that can guide personalized treatment strategies and potentially improve patient outcomes. More importantly, this model demonstrates good predictive ability and accuracy, thus, assisting clinicians in creating personalized interventions for patients with gastric cancer. |
| Publish Date |
2025-01-18 08:11 |
| Citation |
<p>Liang GZ, Li XS, Hu ZH, Xu QJ, Wu F, Wu XL, Lei HK. Development and validation of a nomogram model for predicting overall survival in patients with gastric carcinoma. <i>World J Gastrointest Oncol</i> 2025; 17(2): 95423</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i2/95423.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i2.95423 |
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