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Publication Name World Journal of Gastrointestinal Surgery
Manuscript ID 113586
Country India
Category Transplantation
Manuscript Type Minireviews
Article Title Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives
Manuscript Source Invited Manuscript
All Author List Kush S Parikh and Ashok Kumar
Funding Agency and Grant Number
Corresponding Author Ashok Kumar, FACS, FASCRS, FRCS, FRCS (Ed), Full Professor, Professor, Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow 226014, Uttar Pradesh, India. doc.ashokgupta@gmail.com
Key Words Minimally invasive esophagectomy; Complications; Risk factors; Nomogram; Post operative outcome; Early detection of complications; Prognostication
Core Tip Minimally invasive esophagectomy is associated with reduced pulmonary morbidity, less blood loss, faster recovery and equivalent oncological outcomes compared to open esophagectomy, however the overall procedure related morbidity continues to be high. This review highlights the key procedure related morbidity and associated risk factors for the same in patients undergoing minimally invasive esophagectomy. Various risk prediction nomograms have been proposed for anticipating and reducing these complications to improve treatment outcomes, but they have certain limitations which hinder their generalized utility. The growing use of artificial intelligence and machine learning promises to create more sophisticated models that enhance the risk predictive accuracy and help personalize treatment plans to minimize complications and achieve better treatment outcomes.
Citation Parikh KS, Kumar A. Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives. World J Gastrointest Surg 2025; In press
Received
2025-08-29 03:44
Peer-Review Started
2025-08-29 03:44
To Make the First Decision
Return for Revision
2025-09-02 02:42
Revised
2025-09-15 13:12
Second Decision
2025-11-06 02:48
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-11-06 04:49
Articles in Press
2025-11-06 04:49
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-9366 (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: http://creativecommons.org/Licenses/by-nc/4.0/
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