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Articles Published Processes
5/16/2023 7:16:46 AM | Browse: 223 | Download: 571
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Received |
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2023-02-23 01:57 |
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Peer-Review Started |
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2023-02-23 01:59 |
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To Make the First Decision |
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Return for Revision |
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2023-03-23 17:31 |
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Revised |
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2023-04-02 06:07 |
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Second Decision |
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2023-04-25 03:18 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-04-25 08:07 |
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Articles in Press |
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2023-04-25 08:07 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-04-24 21:08 |
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Typeset the Manuscript |
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2023-05-10 02:16 |
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Publish the Manuscript Online |
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2023-05-16 07:16 |
| 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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2023. 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 |
Case Control Study |
| Article Title |
Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zhang Wang, Sheng-Li Shao, Lu Liu, Qi-Yi Lu, Lei Mu and Ji-Chao Qin |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China |
82173368 |
| National Natural Science Foundation of China |
81903047 |
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| Corresponding Author |
Ji-Chao Qin, MD, PhD, Professor, Researcher, Surgeon, Department of Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan 430030, Hubei Province, China. jcqin@tjh.tjmu.edu.cn |
| Key Words |
Machine learning; Low anterior resection syndrome; Rectal cancer; Laparoscopy; Prediction |
| Core Tip |
We developed and externally validated a machine learning-based prediction model that integrated preoperative and intraoperative risk factors as input features and showed satisfactory predictive performance in Chinese patients. According to the decision curve analysis, patients with major low anterior resection syndrome (LARS) would have a net benefit superior to “treat all” or “treat none” with a range of threshold probabilities by using the model. This study provides a new tool for predicting major LARS, which can potentially be used for rectal cancer patients to acquire early postoperative consultation and strengthen self-management to improve their quality of life. |
| Publish Date |
2023-05-16 07:16 |
| Citation |
Wang Z, Shao SL, Liu L, Lu QY, Mu L, Qin JC. Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study. World J Gastroenterol 2023; 29(19): 2979-2991 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i19/2979.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i19.2979 |
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