Yu DM, Wu CX, Sun JY, Xue H, Yuwen Z, Feng JX. Prediction model of stress ulcer after laparoscopic surgery for colorectal cancer established by machine learning algorithm. World J Gastrointest Surg 2023; 15(9): 1978-1985 [PMID: 37901722 DOI: 10.4240/wjgs.v15.i9.1978]
Corresponding Author of This Article
Jiang-Xue Feng, BSc, Associate Chief Nurse, Department I of Anorectal, Hebei Traditional Chinese Medicine Hospital, No. 389 Zhongshan East Road, Chang'an District, Shijiazhuang 050000, Hebei Province, China. fengjiangxue0330@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Dong-Mei Yu, Hui Xue, School of Nursing, Hebei University of Traditional Chinese Medicine, Shijiazhuang 050000, Hebei Province, China
Chun-Xiao Wu, Jiang-Xue Feng, Department I of Anorectal, Hebei Traditional Chinese Medicine Hospital, Shijiazhuang 050000, Hebei Province, China
Jun-Yi Sun, Department of Inspection Center, Hebei Traditional Chinese Medicine Hospital, Shijiazhuang 050000, Hebei Province, China
Zhe Yuwen, Department of Perivascular, Hebei Traditional Chinese Medicine Hospital, Shijiazhuang 050000, Hebei Province, China
Author contributions: Yu DM designed and performed the research and wrote the paper; Feng JX designed the research and supervised the report; Yu DM and Feng JX designed the research and contributed to the analysis; Sun JY, Wu CX, Xue H and Yuwen Z provided clinical advice; Sun JY, Wu CX, Xue H and Yuwen Z supervised the report; all authors have read and approved the final version to be published.
Institutional review board statement: The study was reviewed and approved by the Hebei Traditional Chinese Medicine Hospital.
Informed consent statement: All study participants or their legal guardian provided informed written consent regarding personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: The data set for this study can be obtained from the corresponding author.
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/
Corresponding author: Jiang-Xue Feng, BSc, Associate Chief Nurse, Department I of Anorectal, Hebei Traditional Chinese Medicine Hospital, No. 389 Zhongshan East Road, Chang'an District, Shijiazhuang 050000, Hebei Province, China. fengjiangxue0330@163.com
Received: May 31, 2023 Peer-review started: May 31, 2023 First decision: June 14, 2023 Revised: June 25, 2023 Accepted: July 19, 2023 Article in press: July 19, 2023 Published online: September 27, 2023
ARTICLE HIGHLIGHTS
Research background
Colorectal cancer (CRC) is a complex multifactorial disease, usually manifested as hematochezia, abdominal pain, diarrhea, and constipation.
Research motivation
Patients with rectal cancer are prone to stress ulcer (SU) after laparoscopic surgery.
Research objectives
This study aimed to investigate the risk factors for SU in patients with CRC after laparoscopic surgery, and construct a risk prediction nomogram model with clinical value based on these risk factors.
Research methods
This study was a retrospective analysis of the clinical data of 135 patients with CRC who underwent laparoscopic surgery from November 2021 to June 2022. Risk factors for the development of postoperative SU were screened by univariate and multivariate regression analyses, and nomogram models were constructed based on these risk factors.
Research results
Among the 135 patients with CRC, 23 patients had postoperative SU, with an incidence of 17.04%.
Research conclusions
By comparing other studies, we found that most scholars emphasize the advantages of laparoscopic treatment of CRC, but there is a lack of research on its disadvantages. This study proposes that laparoscopic treatment of CRC is prone to SU, further analyzes its influencing factors, and establishes a predictive model with clinical value. This study proposed a new prediction model of SU after laparoscopic surgery in patients with CRC.
Research perspectives
Future research should be based on clinical observation, incorporating more possible influencing factors, and establishing a more practical predictive model.
