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9/5/2025 6:20:01 AM | Browse: 35 | Download: 0
Publication Name World Journal of Gastroenterology
Manuscript ID 111364
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy
Manuscript Source Unsolicited Manuscript
All Author List Bing-Xin Xu, Cong-Zhou Xu, Hao-Yan Zhang, Xu-Jin Chen, Bing-Ni Wei and Cheng Yang
Funding Agency and Grant Number
Funding Agency Grant Number
Young and Middle-Aged Talents Program of Wuxi Health Commission No. BJ2020011
Cohort Research Program of Wuxi Medical Center, Nanjing Medical University No. WMCC202314
Wuxi People’s Hospital 2024 “Wild Goose Array Talent” Reserve Discipline Leader No. 2024-YZ-HBDTR-YC-2024
Corresponding Author Cheng Yang, MD, Department of Gastroenterology, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi People’s Hospital, Wuxi Medical Center, Nanjing Medical University, No. 299 Qingyang Road, Liangxi District, Wuxi 214023, Jiangsu Province, China. yangchengds@163.com
Key Words Colonoscopy; Withdrawal time; Insertion time; Adenoma detection rate; Machine learning
Core Tip This study identifies four key predictors of ≥ 25% adenoma detection rate (ADR), age, sex, endoscopist experience, and withdrawal time and develops a validated hybrid support vector machine extreme gradient boosting model to predict ADR. Using data from 6529 colonoscopies, the model demonstrated stable performance and was implemented in a Shiny app for real-time clinical use. This innovative tool offers personalized guidance to optimize colonoscopy quality and improve clinical outcomes, representing a significant advancement in endoscopic decision support.
Citation Xu BX, Xu CZ, Zhang HY, Chen XJ, Wei BN, Yang C. Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy. World J Gastroenterol 2025; In press
Received
2025-07-01 07:10
Peer-Review Started
2025-07-01 07:11
To Make the First Decision
Return for Revision
2025-07-21 09:19
Revised
2025-08-02 16:56
Second Decision
2025-09-05 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-09-05 06:20
Articles in Press
2025-09-05 06:20
Publication Fee Transferred
2025-08-04 12:58
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1007-9327 (print) and 2219-2840 (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/
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