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Articles Published Processes
12/25/2025 8:27:23 AM | Browse: 1 | Download: 0
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Received |
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2025-07-31 02:33 |
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Peer-Review Started |
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2025-07-31 02:33 |
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First Decision by Editorial Office Director |
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2025-09-17 08:36 |
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Return for Revision |
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2025-09-17 08:45 |
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Revised |
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2025-09-26 20:16 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-10-27 02:36 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-10-27 10:03 |
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Articles in Press |
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2025-10-27 10:03 |
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Edit the Manuscript by Language Editor |
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2025-11-02 20:10 |
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Typeset the Manuscript |
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2025-12-15 02:32 |
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Publish the Manuscript Online |
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2025-12-25 08:27 |
| ISSN |
1948-9366 (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) 2025. 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 |
Surgery |
| Manuscript Type |
Retrospective Study |
| Article Title |
Machine-learning-based prediction model for Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy in gastric cancer
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ru-Yin Li, Zi-Rui Zhao, Tian Yu and Jian-Chun Yu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Key Research and Development Program of China |
2022YFF1100404 |
| National High Level Hospital Clinical Research Funding of China |
2022-PUMCH-B-005 |
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| Corresponding Author |
Jian-Chun Yu, Chief, MD, PhD, Professor, Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing 100730, China. yu-jch@163.com |
| Key Words |
Gastric cancer; Machine learning; Postoperative complications; Risk prediction; Neoadjuvant therapy |
| Core Tip |
Addressing data scarcity in gastric cancer neoadjuvant therapy, this study used a large patient cohort (n = 455) to pioneer a machine learning model for predicting Clavien-Dindo grade ≥ II complications post-neoadjuvant therapy and laparoscopic gastrectomy. Key predictors included smoking status, Nutritional Risk Screening-2002 score, American Society of Anesthesiologists classification, neoadjuvant therapy, surgical approach, operating time, and intraoperative blood loss. The neural network ensemble model demonstrated superior performance, with optimal discrimination, calibration, and clinical utility, potentially offering a tool for perioperative risk stratification and management optimization. |
| Publish Date |
2025-12-25 08:27 |
| Citation |
Li RY, Zhao ZR, Yu T, Yu JC. Machine-learning-based prediction model for Clavien-Dindo grade ≥ II complications after neoadjuvant therapy and laparoscopic gastrectomy in gastric cancer. World J Gastrointest Surg 2025; 17(12): 112520 |
| URL |
https://www.wjgnet.com/1948-9366/full/v17/i12/112520.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v17.i12.112520 |
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