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Articles Published Processes
12/25/2025 8:27:25 AM | Browse: 1 | Download: 0
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Received |
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2025-08-29 03:44 |
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Peer-Review Started |
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2025-08-29 03:44 |
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First Decision by Editorial Office Director |
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2025-09-02 02:42 |
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Return for Revision |
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2025-09-02 02:42 |
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Revised |
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2025-09-15 13:12 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2025-11-06 02:48 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2025-11-06 04:49 |
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Articles in Press |
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2025-11-06 04:49 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-12-11 02:48 |
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Publish the Manuscript Online |
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2025-12-25 08:27 |
| 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/ |
| Copyright |
© The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Transplantation |
| Manuscript Type |
Minireviews |
| Article Title |
Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Kush S Parikh and Ashok Kumar |
| ORCID |
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| Funding Agency and Grant Number |
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| 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. |
| Publish Date |
2025-12-25 08:27 |
| Citation |
Parikh KS, Kumar A. Nomographic predictive models for complications after minimally invasive esophagectomy: Current status and future perspectives. World J Gastrointest Surg 2025; 17(12): 113586 |
| URL |
https://www.wjgnet.com/1948-9366/full/v17/i12/113586.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v17.i12.113586 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
