Evidence mapPaperPMID 41351079Full record

ArticleBMC endocrine disorders2025

High serum uric acid as a marker for fatty pancreas disease in Chinese women with overweight/obesity.

Xiaolei Chen, Chenxi Li, Haiyan Cheng, Xiaowen Zhu, Mengjiao Cao, Qunfeng Tang, Wenjun Wu

Abstract read
In one paragraph

Article in BMC endocrine disorders, 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

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

7 authors.

Xiaolei Chen *Department of Neurology, Jiangnan University Medical Center, Wuxi No. 2 People's Hospital, Wuxi, China.
Chenxi Li *Department of Endocrinology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, Wuxi, China.
Haiyan ChengDepartment of Endocrinology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, Wuxi, China.
Xiaowen ZhuDepartment of Nephrology, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China.
Mengjiao CaoDepartment of Radiology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, Wuxi, China.
Qunfeng TangDepartment of Radiology, Wuxi People's Hospital, Wuxi Medical Center, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Nanjing Medical University, Wuxi, China.
Wenjun WuDepartment of Endocrinology, Jinshan Branch of Shanghai Sixth People's Hospital, No.147 Jiankang Road, Zhujing Town, Jinshan District, Shanghai, 201500, China. wuwenjung@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the continuing global obesity epidemic, fatty pancreas disease (FPD) has become one of the most prevalent chronic pancreatic conditions. The objective of this study was to identify potential risk factors contributing to FPD among individuals who are overweight and obese.

methodsThis cross-sectional study enrolled a total of 205 participants (101 female, 104 male) who were overweight or obese. Data were collected from December 2019 to November 2023. Each participant underwent a comprehensive assessment, including clinical history documentation, physical evaluation, laboratory analysis, and magnetic resonance imaging (MRI). Based on a pancreatic fat fraction cut-off value of 10.4% measured through MRI, the participants were categorized into FPD and non-FPD groups. Differences between groups were analyzed based on sex and the presence or absence of FPD. A binary logistic regression model was constructed and used to identify risk factors for FPD. Subsequently, the diagnostic performance of the identified independent risk factors for diagnosing FPD was assessed using receiver operating characteristic curve analysis.

resultsAmong men, no significant correlation was observed between serum uric acid (SUA) levels and FPD. However, among women, SUA levels were significantly elevated in individuals with FPD compared with those without FPD. Multivariate logistic regression analysis confirmed SUA as an independent predictor of FPD in women. The optimal SUA threshold for predicting FPD in women who were overweight and obese was 6.29 mg/dL.

conclusionElevated SUA levels are a risk factor for FPD in women who are overweight or obese. Therefore, clinicians should monitor pancreatic fat accumulation in women with SUA levels exceeding 6.29 mg/dL.

trial registrationChinese Clinical Trial Registry ChiCTR1900022948; Registered 4 May 2019.

Indexed as

BiomarkersObesityOverweightPancreatic DiseasesUric AcidAdultChinaCross-Sectional StudiesEast Asian PeopleFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsBiomarkersUric AcidFatty pancreas diseaseObesityOverweightRisk factorsSerum uric acid

Identifiers

PMID41351079
PMCPMC12801770

What Socratic holds

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LicenceCC BY-NC-ND
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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.