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Publication Name World Journal of Gastrointestinal Oncology
Manuscript ID 113959
Country China
Category Gastroenterology & Hepatology
Manuscript Type Retrospective Study
Article Title Risk prediction for chronic atrophic gastritis using a random forest model: A multicenter study
Manuscript Source Unsolicited Manuscript
All Author List Hui Cao, Jing-Lue Han, Hao Wu, Shu-Ping Si, Li-Jia Ding, Lin Ji, Hua-Zhen Zhang, Jie Yin, Zhi-Yi Zhou, Yu-Nan Zhang, Zhi-Fa Lv, Wen-Ying Tian, Qiang Zhan, Hui Wang and Fang-Mei An
Funding Agency and Grant Number
Funding Agency Grant Number
the Wuxi "Double Hundred" Young and Middle-aged Medical Talents Project BJ2023008
the Wuxi Medical Center of Nanjing Medical University Special Disease Cohort and Clinical Research Project WMCC202502
the Wuxi Medical Center of Nanjing Medical University Key Project WMCM202501
the Jiangsu Branch of the National Clinical Research Center for Digestive Diseases JSZX202301
Corresponding Author Fang-Mei An, Associate Chief Physician, Associate Professor, MD, Department of Gastroenterology, Affiliated Wuxi People’s Hospital of Nanjing Medical University, No. 299 Qingyang Road, Liangxi District, Wuxi 214000, Jiangsu Province, China. fangmeian@njmu.edu.cn
Key Words Chronic atrophic gastritis; Machine learning; Risk prediction; Gastric cancer screening; Random forest
Core Tip This study addresses the need for a noninvasive method to screen for chronic atrophic gastritis (CAG), a key precancerous condition of gastric cancer (GC). We developed and validated a random forest machine learning model using data from 1268 subjects. The model accurately predicts CAG risk using six easily obtainable features: Helicobacter pylori infection status, age, pepsinogen ratio, smoking history, alcohol use history, and family history of GC. The model demonstrated high accuracy and generalizability (area under the curve > 0.85). A user-friendly web calculator was created for clinical application, providing a practical tool for the early identification of high-risk individuals.
Citation Cao H, Han JL, Wu H, Si SP, Ding LJ, Ji L, Zhang HZ, Yin J, Zhou ZY, Zhang YN, Lv ZF, Tian WY, Zhan Q, Wang H, An FM. Risk prediction for chronic atrophic gastritis using a random forest model: A multicenter study. World J Gastrointest Oncol 2025; In press
Received
2025-09-08 10:41
Peer-Review Started
2025-09-08 10:41
First Decision by Editorial Office Director
2025-10-27 09:30
Return for Revision
2025-10-27 15:25
Revised
2025-11-09 10:39
Publication Fee Transferred
2025-11-14 09:14
Second Decision by Editor
2025-12-11 02:46
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2025-12-11 08:34
Articles in Press
2025-12-11 08:34
Edit the Manuscript by Language Editor
Typeset the Manuscript
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: https://creativecommons.org/Licenses/by-nc/4.0/
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