Publication Name	World Journal of Gastrointestinal Surgery
Manuscript ID	91461
Country	United States

Received	2023-12-30 22:51
Peer-Review Started	2023-12-30 22:51
First Decision by Editorial Office Director	2024-01-16 06:09
Return for Revision	2024-01-16 06:09
Revised	2024-02-07 22:45
Publication Fee Transferred
Second Decision by Editor	2024-03-05 02:52
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2024-03-05 06:24
Articles in Press	2024-03-05 06:24
Edit the Manuscript by Language Editor
Typeset the Manuscript	2024-04-11 04:10
Publish the Manuscript Online	2024-04-22 11:03

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: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright	© The Author(s) 2024. 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	Gastroenterology & Hepatology
Manuscript Type	Retrospective Study
Article Title	Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning
Manuscript Source	Invited Manuscript
All Author List	Hassam Ali, Faisal Inayat, Vishali Moond, Ahtshamullah Chaudhry, Arslan Afzal, Zauraiz Anjum, Hamza Tahir, Muhammad Sajeel Anwar, Dushyant Singh Dahiya, Muhammad Sohaib Afzal, Gul Nawaz, Amir H Sohail and Muhammad Aziz
ORCID	Author(s) ORCID Number Hassam Ali http://orcid.org/0000-0001-5546-9197 Faisal Inayat http://orcid.org/0000-0001-7576-7319 Dushyant Singh Dahiya http://orcid.org/0000-0002-8544-9039
Funding Agency and Grant Number
Corresponding Author	Faisal Inayat, MBBS, Research Scientist, Department of Internal Medicine, Allama Iqbal Medical College, Allama Shabbir Ahmad Usmani Road, Faisal Town, Lahore 54550, Punjab, Pakistan. faisalinayat@hotmail.com
Key Words	Roux-en-Y gastric bypass; Venous thromboembolism; Machine learning; Bariatric surgery; Predictive modeling
Core Tip	Venous thromboembolism (VTE) is an uncommon but important cause of morbidity and mortality following Roux-en-Y gastric bypass (RYGB). Clinical evidence regarding VTE risk stratification after RYGB remains limited. Using a multicenter database, this is the first retrospective cross-sectional study that used supervised machine learning to develop and internally validate a scoring system to assess the 30-d individualized risk of VTE post-RYGB. Our model uses only six preoperative variables, including a history of chronic obstructive pulmonary disease, length of stay, previous deep venous thrombosis, hemoglobin A1c > 7%, prior venous stasis, and preoperative anticoagulation use. Our findings may help to improve clinical outcomes and procedural safety for patients undergoing RYGB.
Publish Date	2024-04-22 11:03
Citation	Ali H, Inayat F, Moond V, Chaudhry A, Afzal A, Anjum Z, Tahir H, Anwar MS, Dahiya DS, Afzal MS, Nawaz G, Sohail AH, Aziz M. Predicting short-term thromboembolic risk following Roux-en-Y gastric bypass using supervised machine learning. World J Gastrointest Surg 2024; 16(4): 1097-1108
URL	https://www.wjgnet.com/1948-9366/full/v16/i4/1097.htm
DOI	https://dx.doi.org/10.4240/wjgs.v16.i4.1097

Full Article (PDF)	WJGS-16-1097-with-cover.pdf