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8/14/2025 5:49:41 AM | Browse: 19 | Download: 28
Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 109405
Country India
Received
2025-05-12 08:36
Peer-Review Started
2025-05-12 08:36
To Make the First Decision
Return for Revision
2025-05-17 08:23
Revised
2025-05-22 05:37
Second Decision
2025-07-17 02:38
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-07-17 06:08
Articles in Press
2025-07-17 06:08
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-08-01 01:34
Publish the Manuscript Online
2025-08-14 05:49
ISSN 1948-5204 (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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Surgery
Manuscript Type Systematic Reviews
Article Title Predictive model for early postoperative stomal complications in colorectal cancer: A systematic review
Manuscript Source Invited Manuscript
All Author List Payal Kaw and Ashok Kumar
ORCID
Author(s) ORCID Number
Payal Kaw http://orcid.org/0000-0001-7203-2341
Ashok Kumar http://orcid.org/0000-0003-3959-075X
Funding Agency and Grant Number
Corresponding Author Ashok Kumar, FACS, FASCRS, FRCS, FRCS (Ed), Full 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 Stomal complications; Colorectal cancer; Predictive model; Artificial intelligence; Patient’ factors; Surgeon factor; Disease factors; Biochemical markers
Core Tip Early stomal complications following colorectal cancer surgery, increases the morbidity, hospital stay and delays the adjuvant treatment. Therefore, it is important to detect it before it is clinically become apparent. Prediction of stomal complications and early corrective measure is essential to improve the outcome. A predictive model utilizing patient factors, disease factors, surgeon factors, and biochemical parameters utilizing artificial intelligence may serve a determinant to anticipate early stomal complications.
Publish Date 2025-08-14 05:49
Citation <p>Kaw P, Kumar A. Predictive model for early postoperative stomal complications in colorectal cancer: A systematic review. <i>World J Gastrointest Oncol</i> 2025; 17(8): 109405</p>
URL https://www.wjgnet.com/1948-5204/full/v17/i8/109405.htm
DOI https://dx.doi.org/10.4251/wjgo.v17.i8.109405
Full Article (PDF) WJGO-17-109405-with-cover.pdf
PRISMA 2009 Checklist 109405-PRISMA-2009-Checklist.pdf
Manuscript File 109405_Auto_Edited_074502.docx
Answering Reviewers 109405-answering-reviewers.pdf
Audio Core Tip 109405-audio.mp3
Biostatistics Review Certificate 109405-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 109405-conflict-of-interest-statement.pdf
Copyright License Agreement 109405-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate 109405-non-native-speakers.pdf
Peer-review Report 109405-peer-reviews.pdf
Scientific Misconduct Check 109405-scientific-misconduct-check.png
Scientific Editor Work List 109405-scientific-editor-work-list.pdf
CrossCheck Report 109405-crosscheck-report.pdf