BPG is committed to discovery and dissemination of knowledge
Featured Articles
5/11/2024 2:03:42 PM | Browse: 259 | Download: 1204
 |
Received |
|
2023-11-30 16:34 |
|
Peer-Review Started |
|
2023-11-30 16:34 |
|
First Decision by Editorial Office Director |
|
2024-01-17 06:16 |
|
Return for Revision |
|
2024-01-17 06:16 |
|
Revised |
|
2024-02-06 03:52 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2024-04-17 02:30 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2024-04-17 03:23 |
|
Articles in Press |
|
2024-04-17 03:23 |
|
Edit the Manuscript by Language Editor |
|
|
|
Typeset the Manuscript |
|
2024-05-08 02:52 |
|
Publish the Manuscript Online |
|
2024-05-11 10:58 |
| 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) 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 |
Oncology |
| Manuscript Type |
Retrospective Cohort Study |
| Article Title |
Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Xiao-Cong Zhou, Shi-Wei Guan, Fei-Yue Ke, Gaurav Dhamija, Qiang Wang and Bang-Fei Chen |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Zhejiang Province Public Welfare Technology Application Research Funding Project, China |
LGC21H160002 |
| Basic Scientific Research Projects in Wenzhou City, Zhejiang Province, China |
Y20220885 |
| Wenzhou Medical University 2021 Higher Education Teaching Reform Project, Zhejiang Province, China |
JG2021167 |
|
| Corresponding Author |
Bang-Fei Chen, MD, Chief Physician, Department of Colorectal Surgery, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine (Zhejiang Hospital), No. 1229 Gudun Road, Hangzhou 310000, Zhejiang Province, China. 2730375001@qq.com |
| Key Words |
Nomogram; Rectal cancer; Laparoscopic operation; Sphincter-preserving surgery; Technical difficulty |
| Core Tip |
This retrospective cohort study developed nomogram to predict technical difficulty prior to laparoscopic sphincter-preserving radical resection for rectal cancer. Significant predictive factors were identified through multivariate logistic regression, which including surgical approach using laparoscopic intersphincteric dissection (L-ISR), intraoperative preventive ostomy, the sacrococcygeal distance, and the anterior-posterior diameter of pelvic inlet / sacrococcygeal distance. The nomogram’s clinical value lies in enabling surgeons to preoperatively evaluate expected difficulty and customize surgical approaches accordingly. It aids in individualized surgical planning. |
| Publish Date |
2024-05-11 10:58 |
| Citation |
Zhou XC, Guan SW, Ke FY, Dhamija G, Wang Q, Chen BF. Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer. World J Gastroenterol 2024; 30(18): 2418-2439 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i18/2418.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i18.2418 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
