Evidence map›Paper›PMID 40503421›Full record

ArticleWorld journal of clinical oncology2025

Modified scoring model incorporating waist-hip ratio for predicting advanced colorectal neoplasia.

Zhong-Hui Liu, Zong-Lin Cai, Xiao-Jun Tong, Yang-Yang Sun, Xin-Yu Zhuang, Xue-Fei Yang, Joe Km Fan

Abstract read
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Article in World journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Zhong-Hui LiuDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Zong-Lin CaiDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Xiao-Jun TongDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Yang-Yang SunEndoscopy Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Xin-Yu ZhuangDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Xue-Fei YangDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518000, Guangdong Province, China.
Joe Km FanDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China. drfanj@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDesigning a feasible risk prediction model for advanced colorectal neoplasia (ACN) can enhance colonoscopy screening efficiency. Abdominal obesity is associated with colorectal cancer development.

aimTo propose and evaluate a modified scoring model incorporating waist-hip ratio for the prediction of ACN.

methodsA total of 6483 patients who underwent their first screening or diagnostic colonoscopy in our center between 2020 and 2023 were recruited, in which 4592 were in the derivation cohort and 1891 formed a validation cohort. Multivariate logistic regression was used to investigate the risk factors of ACN in the derivation cohort based on endoscopic findings, and a new scoring model for ACN prediction was developed. The discriminatory capability of the scoring model was validated by the validation cohort.

resultsAge, male gender, smoking, and wait-to-hip ratio were identified as independent risk factors for ACN, and a 7-point scoring model was developed. The prevalence of ACN was 3.3%, 9.3% and 18.5% in participants with scores of 0-2 [low risk (LR)], 3-4 [moderate risk (MR)], and 5-7 [high risk (HR)], respectively, in the derivation cohort. With the scoring model, 49.9%, 38.4%, and 11.7% of patients in the validation cohort were categorized as LR, MR, and HR, respectively. The corresponding prevalence rates of ACN were 5.0%, 10.3%, and 17.6%, respectively. The C-statistic of the new scoring model was 0.66, which was higher than that of the Asia-Pacific Colorectal Screening model (0.63).

conclusionA modified scoring model incorporating waist-hip ratio has an improved predictive performance in the prediction of ACN.

Indexed as

Abdominal obesityAdvanced colorectal neoplasiaColorectal cancer screeningMetabolic syndromeRisk scoring model

Identifiers

PMID40503421
PMCPMC12149832

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