Evidence mapPaperPMID 40087680Full record

ArticleHereditas2025

MiR-33 as a novel diagnostic biomarker for distinguishing cholesterol from adenomatous polyps: a case-control study.

Xia Hu, Ping Zhang, Tong Wang, Quanzhi Li, Minjia Li, Zhuohan Zhao, Rui Yu, Yan Tan, Chengli Yao

Abstract read
In one paragraph

Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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field-weighted citation impact
1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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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.

Xia Hu *The First Clinical Medical College, Beijing University of Chinese Medicine, No. 5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Ping Zhang *The Second Department of General Surgery, Dongzhimen Hospital, Beijing University of Chinese Medicine, No.5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Tong WangThe Second Department of General Surgery, Dongzhimen Hospital, Beijing University of Chinese Medicine, No.5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Quanzhi LiThe First Clinical Medical College, Beijing University of Chinese Medicine, No. 5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Minjia LiThe First Clinical Medical College, Beijing University of Chinese Medicine, No. 5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Zhuohan ZhaoThe First Clinical Medical College, Beijing University of Chinese Medicine, No. 5 Haiyuncang, Dongcheng District, Beijing, 100700, China.
Rui YuSchool of Life Sciences, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, 100105, China.
Yan TanSchool of Life Sciences, Beijing University of Chinese Medicine, No.11 East Beisanhuan Road, Chaoyang District, Beijing, 100105, China. yantan@bucm.edu.cn.
Chengli YaoThe Second Department of General Surgery, Dongzhimen Hospital, Beijing University of Chinese Medicine, No.5 Haiyuncang, Dongcheng District, Beijing, 100700, China. ycltgbz@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholecystectomy is often excessively utilized in the management of gallbladder polyps. It is crucial to effectively differentiate between adenomatous and cholesterol polyps to reduce unnecessary cholecystectomies. This study aimed to investigate the potential of miR-33 as a novel diagnostic biomarker for distinguishing cholesterol from adenomatous polyps. Gallbladder specimens were retrospectively collected from gallbladder polyp patients who underwent laparoscopic cholecystectomy at the Second Department of General Surgery, Dongzhimen Hospital, Beijing University of Traditional Chinese Medicine, between June 2021 and December 2021. Pathological analysis categorized the specimens into two groups: the cholesterol polyp group (n = 13) and the adenomatous polyp group (n = 12). The expression levels of miR-33a and miR-33b in both groups were assessed using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). MiR-33a level and the miR-33a/miR-33b ratio were significantly lower in cholesterol polyps than in adenomatous polyps (p < 0.05). Spearman correlation analysis showed a strong positive correlation between miR-33a and miR-33b (r = 0.956, p < 0.001). Stepwise logistic regression analysis revealed that decreased miR-33b and elevated miR-33a/miR-33b ratio are independent risk factors for cholesterol polyps (p < 0.05). A predictive model was constructed, with the model's AUC for diagnosing adenomatous polyps being 0.885 (95% CI: 0.753-1.000, p = 0.001), exhibiting a notable specificity of 84.62% and a sensitivity of 83.33% at a cut-off of 0.424. MiR-33 could serve as a novel diagnostic biomarker for distinguishing cholesterol from adenomatous polyps to facilitate the diagnosis and treatment of clinicians.

Indexed as

Adenomatous PolypsCholesterolMicroRNAsAdultAgedBiomarkersCase-Control StudiesDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPolypsRetrospective StudiesBiomarkersCholesterolMicroRNAsMIRN33a microRNA, humanAdenomatous polypBiomarkerCholesterol polypMiR−33aqRT-PCRStatistical model

Identifiers

PMID40087680
PMCPMC11907919

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.