BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
6/21/2024 3:14:32 AM | Browse: 131 | Download: 541
 |
Received |
|
2024-03-25 12:44 |
|
Peer-Review Started |
|
2024-03-25 12:44 |
|
First Decision by Editorial Office Director |
|
2024-04-29 08:41 |
|
Return for Revision |
|
2024-04-29 08:41 |
|
Revised |
|
2024-05-07 15:05 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2024-05-20 02:47 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2024-05-20 05:16 |
|
Articles in Press |
|
2024-05-20 05:16 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2024-05-31 06:17 |
|
Publish the Manuscript Online |
|
2024-06-21 03:14 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Li-Qun Cai, Da-Qing Yang, Rong-Jian Wang, He Huang and Yi-Xiong Shi |
| ORCID |
|
| Funding Agency and Grant Number |
|
| Corresponding Author |
Yi-Xiong Shi, MD, Attending Doctor, Staff Physician, Department of Colorectal and Anorectal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Street, Ouhai District, Wenzhou 325000, Zhejiang Province, China. danshiyixiong@163.com |
| Key Words |
Colorectal cancer; Postoperative unplanned reoperation; Unplanned reoperation; Clinical validation; Nomogram; Machine learning models |
| Core Tip |
This study developed a machine learning model to predict unplanned reoperations in colorectal cancer patients, using data from two hospitals over two years. It employed support vector machine, least absolute shrinkage and selection operator, and extreme gradient boosting for feature selection and logistic regression to identify key risk factors. The model showed good predictive accuracy, validated by receiver operating characteristic curves, calibration curves, and decision curve analysis. Key predictors included age, gender, prior surgeries, and nutritional status. This predictive tool aims to enhance clinical decision-making, reduce reoperation rates, and improve patient outcomes in colorectal cancer care. |
| Publish Date |
2024-06-21 03:14 |
| Citation |
Cai LQ, Yang DQ, Wang RJ, Huang H, Shi YX. Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer. World J Gastroenterol 2024; 30(23): 2991-3004 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i23/2991.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i23.2991 |
© 2004-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
