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©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jan 21, 2025; 31(3): 101041
Published online Jan 21, 2025. doi: 10.3748/wjg.v31.i3.101041
Published online Jan 21, 2025. doi: 10.3748/wjg.v31.i3.101041
Prediction and stratification for the surgical adverse events after minimally invasive esophagectomy: A two-center retrospective study
Qi-Hong Zhong, Jiang-Shan Huang, Fei-Long Guo, Jing-Yu Wu, Jia-Fu Zhu, Wen-Wei Lin, Sui Chen, Zhen-Yang Zhang, Jiang-Bo Lin, Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou 350001, Fujian Province, China
Qi-Hong Zhong, Mao-Xiu Yuan, The Graduate School, Fujian Medical University, Fuzhou 350001, Fujian Province, China
Mao-Xiu Yuan, Department of Thoracic Surgery, Affiliated Hospital of Jinggangshan University, Ji’an 343000, Jiangxi Province, China
Co-first authors: Qi-Hong Zhong and Jiang-Shan Huang.
Co-corresponding authors: Zhen-Yang Zhang and Jiang-Bo Lin.
Author contributions: Zhong QH and Huang JS designed and performed the research and drafted the manuscript, they are co-first authors of this manuscript; Guo FL and Lin JB designed the research and supervised and reviewed the report; Lin JB and Zhang ZY supervised the report and provided funding acquisition, and they as co-corresponding authors; Wu JY and Zhong QH designed the research and contributed to the analysis; Zhu JF, Chen S, Lin WW, and Yuan MX collected the data and provided the methodology.
Supported by Joint Funds for the Innovation of Science and Technology, Fujian Province, No. 2023Y9187 and No. 2021Y9057.
Institutional review board statement: Our study was approved by the Institutional Review Board of Fujian Medical University Union Hospital (Approval No. 2024KY037) and the Affiliated Hospital of Jinggangshan University (Approval No. 2024115).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The original anonymous dataset is available on request from the corresponding author at jiangbolin99@163.com.
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-Bo Lin, PhD, Professor, Department of Thoracic Surgery, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou 350001, Fujian Province, China. jiangbolin99@163.com
Received: September 2, 2024
Revised: October 5, 2024
Accepted: November 25, 2024
Published online: January 21, 2025
Processing time: 108 Days and 13.2 Hours
Revised: October 5, 2024
Accepted: November 25, 2024
Published online: January 21, 2025
Processing time: 108 Days and 13.2 Hours
Core Tip
Core Tip: In this study, a predictive model was developed to stratify the risk of surgical adverse events following minimally invasive esophagectomy for esophageal cancer. By identifying key risk factors, including chronic obstructive pulmonary disease, low forced expiratory volume in the first second, and hypoalbuminemia, the model enhances preoperative assessment, allowing for targeted interventions. The model’s high predictive accuracy underscores its potential for integration into clinical practice to improve patient outcomes and reduce postoperative complications after minimally invasive esophagectomy. This approach represents a significant advancement in personalized surgical management for esophageal cancer patients.