Evidence map›Paper›PMID 40615600›Full record

ArticleScientific reports2025

Association of incidence of colorectal polyp with markers of insulin resistance and other related factors: a cross-sectional study.

Yan Xu, Hongzhen He, Zhanhui Ye, Siquan Li, Hu Li, Xiaojuan Wang, Weizheng Zhang, Na Liu, Xiangsheng Cai

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yan Xu *Guangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China.
Hongzhen He *Guangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China.
Zhanhui Ye *Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, 510000, China.
Siquan LiGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China.
Hu LiGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China.
Xiaojuan WangGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China.
Weizheng ZhangGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China. zwzzw83@163.com.
Na LiuGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China. 1256695904@qq.com.
Xiangsheng CaiGuangzhou Cadre and Talent Health Management Center, Guangzhou Eleventh People's Hospital, Guangzhou, 510000, China. xiangshengcai@yeah.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the relationship between the incidence of colorectal polyps and related factors such as markers of insulin resistance (IR) ,  a retrospective analysis was used to collect 2716 patients who underwent physical examinations in Guangzhou Cadre and Talent Health Management Center from June 2020 to June 2023. The patients were classified as colorectal polyp group (n = 1328) and non-polyp group (n = 1388) after colonoscopy. Baseline data of colorectal polyp and non-polyp groups were compared. Non-insulin-based IR markers including Triglyceride Glucose Index (TyG), triglyceride glucose index (TyG)- Body Mass Index(BMI), triglycerides (TG)/high density lipoprotein cholesterol (HDL-C), Metabolic Score for Insulin Resistance (METS-IR), and mean arterial pressure (MAP) were calculated. The risk factors of colorectal polyps were analyzed by binary logistic regression. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the ability of insulin resistance markers to detect colorectal polyps. The proportion of males in colorectal polyp group was higher than that in non-polyp group. There were significant differences in TyG-BMI, TyG, TG/HDL-C, METS-IR, MAP, and other indicators between the colorectal polyp group and the non-polyp group (p < 0.05). Binary logistic regression analysis showed that elevation in age, BMI, TyG-BMI, TyG, TG/HDL-C, METS-IR, MAP and CEA were positively correlated with the risk of colorectal polyps (p < 0.05). The AUCs of insulin resistance markers and MAP were larger than CEA to detect colorectal polyps. The AUC values of models in combination of age, sex and insulin resistance markers/MAP is higher. TyG, TyG-BMI, TG/HDL-C, and METS-IR could be used as indicators to predict the occurrence of colorectal polyps. These findings provide an important clinical reference for the prevention and treatment of colorectal polyps.

Indexed as

Colonic PolypsInsulin ResistanceAdultAgedBiomarkersBlood GlucoseBody Mass IndexChinaCholesterol, HDLColonoscopyCross-Sectional StudiesFemaleHumansIncidenceMaleMiddle AgedBiomarkersBlood GlucoseCholesterol, HDLTriglyceridesColorectal polypsMarkers of insulin resistancePreventionRisk factor

Identifiers

PMID40615600
PMCPMC12227555

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