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Articles Published Processes
11/11/2026 5:49:17 AM | Browse: 0 | Download: 0
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Received |
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2026-05-12 05:56 |
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Peer-Review Started |
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2026-05-12 05:57 |
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First Decision by Editorial Office Director |
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2026-06-05 08:55 |
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Return for Revision |
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2026-06-05 08:55 |
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Revised |
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2026-06-27 18:50 |
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Publication Fee Transferred |
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2026-07-20 07:26 |
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Second Decision by Editor |
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2026-08-13 02:29 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-08-14 09:21 |
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Articles in Press |
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2026-08-14 09:21 |
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Edit the Manuscript by Language Editor |
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2026-08-20 18:24 |
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Typeset the Manuscript |
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2026-09-14 01:42 |
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Publish the Manuscript Online |
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2026-11-11 05:49 |
| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| Copyright |
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc. |
| 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 |
Computer Science, Artificial Intelligence |
| Manuscript Type |
Retrospective Study |
| Article Title |
Integrating immune-inflammatory and nutritional indicators into machine learning-driven risk stratification for colorectal cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Lang Wang, Chang Liu, Jian Xie, Jin-Shan Liu, Xiong Zhou, Fei Liu, Chen-Yu Xiang, Jun-Nan Zhao, Xu-Rui Liu, Xiao-Yu Liu, Bing Kang, Yong Cheng and Dong Peng |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| CQMU Program for Youth Innovation in Future Medicine |
No. W0190 |
| Natural Science Foundation of Chongqing, China |
No. CSTB2024NSCQ-MSX0098 |
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| Corresponding Author |
Dong Peng, Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China. carry_dong@hospital.cqmu.edu.cn |
| Key Words |
Colorectal cancer; Immune-inflammatory and nutritional indicators; Metabolic; Post-operative complications; Overall survival; Machine learning |
| Core Tip |
This multicenter cohort study included 10205 patients with colorectal cancer (CRC) who underwent radical surgery. We systematically evaluated systemic inflammation- and nutrition-related indicators in relation to postoperative complications and overall survival, and further assessed metabolic dysfunction indices in a sub-cohort. Machine learning models were developed and externally validated, with gradient boosting survival analysis showing stable performance across centers. These findings support the integration of inflammatory, nutritional, and metabolic indicators into individualized risk stratification for CRC. |
| Publish Date |
2026-11-11 05:49 |
| Citation |
Wang L, Liu C, Xie J, Liu JS, Zhou X, Liu F, Xiang CY, Zhao JN, Liu XR, Liu XY, Kang B, Cheng Y, Peng D. Integrating immune-inflammatory and nutritional indicators into machine learning-driven risk stratification for colorectal cancer. World J Gastroenterol 2027; 33(2): 123195
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| URL |
https://www.wjgnet.com/1007-9327/full/v33/i2/123195.htm |
| DOI |
https://doi.org/10.3748/wjg.123195 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
