Retrospective Cohort Study
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Endosc. Nov 16, 2023; 15(11): 649-657
Published online Nov 16, 2023. doi: 10.4253/wjge.v15.i11.649
Nomogram to predict gas-related complications during transoral endoscopic resection of upper gastrointestinal submucosal lesions
Jia Yang, Zhi-Guo Chen, Xing-Lin Yi, Jing Chen, Lei Chen
Jia Yang, Zhi-Guo Chen, Jing Chen, Lei Chen, Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing 400038, China
Xing-Lin Yi, Department of Pulmonology, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Chongqing 400038, China
Author contributions: Chen L conceived and designed this study; Yang J and Chen ZG collected and analyzed patient data; Yang J and Yi XL drafted and completed the manuscript; Yang J, Chen ZG, and Chen J prepared the tables and figures; and all authors are accountable for interpreting the data and revising the manuscript.
Supported by Gan/University Talent Pool Cultivation Fund, No. XZ-2019-505-017.
Institutional review board statement: The First Affiliated Hospital Ethics Committee of the Army Medical University approved the study [Approval ID: (B) KY2023006].
Informed consent statement: All patients provided written informed consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data supporting the results of this study are available from the corresponding author upon reasonable request.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
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: Lei Chen, MD, PhD, Professor, Department of Gastroenterology, The First Affiliated Hospital (Southwest Hospital) to Third Military Medical University (Army Medical University), Gaotanyan Street, Shapingba District, Chongqing 400038, China. chenlei_1977603@126.com
Received: September 5, 2023
Peer-review started: September 5, 2023
First decision: September 13, 2023
Revised: September 21, 2023
Accepted: October 16, 2023
Article in press: October 16, 2023
Published online: November 16, 2023
Processing time: 65 Days and 15.5 Hours
ARTICLE HIGHLIGHTS
Research background

With the popularity of endoscopy, more and more digestive tract lesions have been discovered. Some of these lesions affect the quality of life of patients, and are potentially fatal. Oral endoscopic resection is becoming the main treatment.

Research motivation

Gas-related complications are inevitable in endoscopic resection. The occurrence of gas-related complications during surgery may increase a patient’s burden and prolong their hospital stay.

Research objectives

The risk factors of gas-related complications were analyzed, and a corresponding prediction model was established.

Research methods

The variables were screened by univariate and multivariate analysis.

Research results

Univariate analysis showed statistically significant differences in histological type, lesion layer of origin, diabetes, lesion size, surgical duration, and resection method. Diabetes, lesion origin, surgical resection method, and surgical duration were incorporated into the final nomogram.

Research conclusions

Our nomogram had excellent predictive efficacy.

Research perspectives

We hope to conduct a multi-center study with a larger sample size for verification in the future.