Karniadakis I, Argyrou A, Vogli S, Papadakos SP. Towards personalized care in minimally invasive esophageal surgery: An adverse events prediction model. World J Gastroenterol 2025; 31(13): 104205 [DOI: 10.3748/wjg.v31.i13.104205]
Corresponding Author of This Article
Stavros P Papadakos, MD, Senior Researcher, 1st Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital of Athens “Laiko,” 17 Agiou Thoma Street, Goudi, Athens 11527, Greece. stavrospapadakos@gmail.com
Research Domain of This Article
Surgery
Article-Type of This Article
Letter to the Editor
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/
World J Gastroenterol. Apr 7, 2025; 31(13): 104205 Published online Apr 7, 2025. doi: 10.3748/wjg.v31.i13.104205
Towards personalized care in minimally invasive esophageal surgery: An adverse events prediction model
Ioannis Karniadakis, Alexandra Argyrou, Stamatina Vogli, Stavros P Papadakos
Ioannis Karniadakis, Upper Gastrointestinal Surgery, Department of General Surgery, St. George's Hospital, St. George's University Hospitals NHS Foundation Trust, London 84790, United Kingdom
Alexandra Argyrou, Stavros P Papadakos, 1st Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital of Athens “Laiko,” Athens 11527, Greece
Stamatina Vogli, Department of Gastroenterology, Metaxa Oncologic Hospital of Piraeus, Athens 18537, Greece
Author contributions: Karniadakis I and Papadakos SP contributed equally; Karniadakis I and Papadakos SP contributed to the conceptualization and study design; Karniadakis I wrote the first draft; Argyrou A, Vogli S, and Papadakos SP revised the manuscript; Argyrou A and Vogli S contributed to critical revision and final manuscript editing; Papadakos SP supervised the project.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: Stavros P Papadakos, MD, Senior Researcher, 1st Department of Gastroenterology, Medical School of National and Kapodistrian University of Athens, General Hospital of Athens “Laiko,” 17 Agiou Thoma Street, Goudi, Athens 11527, Greece. stavrospapadakos@gmail.com
Received: December 13, 2024 Revised: February 17, 2025 Accepted: March 3, 2025 Published online: April 7, 2025 Processing time: 110 Days and 18.7 Hours
Abstract
This letter addressed the impactful study by Zhong et al, which introduced a risk prediction and stratification model for surgical adverse events following minimally invasive esophagectomy. By identifying key risk factors such as chronic obstructive pulmonary disease and hypoalbuminemia, the model demonstrated strong predictive accuracy and offered a pathway to personalized perioperative care. This correspondence highlighted the clinical significance, emphasizing its potential to optimize patient outcomes through tailored interventions. Further prospective validation and application across diverse settings are essential to realize its full potential in advancing esophageal surgery practices.
Core Tip: The study by Zhong et al presented a predictive model for surgical adverse events following minimally invasive esophagectomy, identifying key risk factors such as chronic obstructive pulmonary disease, low forced expiratory volume in 1 s, alcohol use, and hypoalbuminemia. This model exhibited strong predictive accuracy; it possesses the potential to enhance clinical decision-making by guiding multidisciplinary teams in patient selection and providing individualized perioperative care. However, the retrospective nature of the study may limit its generalizability.
