Publication Name	World Journal of Clinical Oncology
Manuscript ID	106409
Country	China

Category	Gastroenterology & Hepatology
Manuscript Type	Case Control Study
Article Title	Modified scoring model incorporating waist-hip ratio for predicting advanced colorectal neoplasia
Manuscript Source	Unsolicited Manuscript
All Author List	Zhong-Hui Liu, Zong-Lin Cai, Xiao-Jun Tong, Yang-Yang Sun, Xin-Yu Zhuang, Xue-Fei Yang and Joe KM Fan
Funding Agency and Grant Number	Funding Agency Grant Number The Guangdong Medical Research Foundation of China No. A2020603
Corresponding Author	Joe KM Fan, Consultant, FRCS (Ed), Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, No. K445 Block K, Hong Kong 999077, China. drfanj@gmail.com
Key Words	Advanced colorectal neoplasia; Abdominal obesity; Colorectal cancer screening; Risk scoring model; Metabolic syndrome
Core Tip	Designing a feasible risk prediction model for advanced colorectal neoplasia (ACN) can greatly improve the efficiency of colonoscopy screening. Abdominal obesity is associated with development of colorectal cancer. We proposed and evaluated a modified scoring model incorporating waist-hip ratio for the prediction of ACN in a Chinese population. Results showed that the modified scoring model had an improved predictive performance than the Asia-Pacific Colorectal Screening model in the prediction of ACN.
Citation	Liu ZH, Cai ZL, Tong XJ, Sun YY, Zhuang XY, Yang XF, Fan JK. Modified scoring model incorporating waist-hip ratio for predicting advanced colorectal neoplasia. World J Clin Oncol 2025; In press

Received	2025-02-25 04:08
Peer-Review Started	2025-02-25 04:08
To Make the First Decision
Return for Revision	2025-03-19 07:59
Revised	2025-03-29 03:24
Second Decision	2025-04-25 02:40
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-04-25 06:41
Articles in Press	2025-04-25 06:41
Publication Fee Transferred	2025-04-05 10:59
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2218-4333 (online)
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