Evidence map›Paper›PMID 41062981›Full record

ArticleBMC gastroenterology2025

Retrospective study: analysis of risk factors and construction of prediction model for pancreatic steatosis.

Wanli Zan, Jingxin Yang, Yi Zhou

Abstract read
In one paragraph

Article in BMC gastroenterology, 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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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

3 authors.

Wanli ZanShaanxi Provincial Hospital of Chinese Medicine, No. 4 Xihua gate, Lianhu District, Xi'an, Shaanxi, 710003, China.
Jingxin YangXi'an Mei Zhao physical examination center, Xi'an, Shaanxi, 710077, China.
Yi ZhouShaanxi Provincial Hospital of Chinese Medicine, No. 4 Xihua gate, Lianhu District, Xi'an, Shaanxi, 710003, China. 3334945@qq.com.

Funding

the Health Research Fund Project of Shaanxi Province 2022B012
6 · The paper itself

Abstract

backgroundPancreatic steatosis, closely related to various metabolic diseases has no unified standard for the diagnosis. The purpose of this study was to construct and validate a risk prediction model of pancreatic steatosis.

methods854 cases admitted to Xi'an Mei Zhao physical examination center were divided into modeling set (n = 598) and validation set (n = 256) according to the ratio of 7:3, and the risk prediction model was constructed and validated based on the risk factors.

resultsOf 598 cases in modeling set, 232 were in the pancreatic steatosis group and 366 were in the non pancreatic steatosis group. There were significantly statistical differences in Age, Gender, Body Mass Index (BMI), Glucose (GLU), Total Cholesterol (TC), Triglycerides (TG), High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), Aspartate Aminotransferase (AST), Alanine Aminotransferase (ALT), Ratio of Aspartate Aminotransferase to Alanine Aminotransferase (AST/ALT), Non-Alcoholic Fatty Liver Disease (NAFLD), Pancreas computed tomography (CT) value, Spleen CT value, Liver CT value as well as Pancreas/Spleen CT value (P < 0.05) between pancreatic steatosis cases and non pancreatic steatosis cases. Cox regression showed that Age (97.5% CI 0.981-1.030), BMI (97.5% CI 1.198-1.436), GLU (97.5% CI 0.921-1.521), TC (97.5% CI 0.800-2.130), HDL (97.5% CI 0.074-0.649), LDL (97.5% CI 0.603-1.877), AST/ALT (97.5% CI 0.241-0.917), Pancreas CT value (97.5% CI 0.788-0.904), Liver CT value (97.5% CI 0.962-1.015), and Pancreas/Spleen CT value (97.5% CI 0.001-0.649) were independent risk factors for pancreatic steatosis (P < 0.05). Based on above variables, a pancreatic steatosis model was successfully constructed, the validation results showed the model had good credibility and predictive value.

conclusionAge, BMI, GLU, TC, HDL, LDL, AST/ALT, Pancreas CT value, Liver CT value, Pancreas/Spleen CT value are risk factors for pancreatic steatosis, and this model can identify the patients at high risk of pancreatic steatosis.

Indexed as

Pancreatic DiseasesAdultAgedAge FactorsAlanine TransaminaseAspartate AminotransferasesBlood GlucoseBody Mass IndexFemaleHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseasePancreasProportional Hazards ModelsRetrospective StudiesAlanine TransaminaseAspartate AminotransferasesBlood GlucoseTriglyceridesComputed tomography (CT)LDLNAFLDPancreatic steatosisPrediction model

Identifiers

PMID41062981
PMCPMC12506498

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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 OpenQuestion graph.