Evidence mapPaperPMID 40102837Full record

ArticleBMC endocrine disorders2025

Associations of body mass index and remnant cholesterol with hyperuricemia in patients with hypertension.

Wei Zhou, Tao Wang, Lingjuan Zhu, Yumeng Shi, Chao Yu, Huihui Bao, Xiaoshu Cheng

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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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei ZhouDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China.
Tao WangDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China.
Lingjuan ZhuDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China.
Yumeng ShiDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China. shiyumeng666@126.com.
Chao YuDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China. yuchao9@gmail.com.
Huihui BaoDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China.
Xiaoshu ChengDepartment of Cardiovascular Medicine, the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1 Minde Road, Nanchang, 330006, China.

Funding

Jiangxi Provincial Drug Administration Science and Technology Project 2023JS26National Natural Science Foundation of China 82460670
6 · The paper itself

Abstract

backgroundThere is a paucity of prior research on residual cholesterol (RC) and hyperuricemia, and it remains unclear whether body mass index (BMI) functions as a mediating factor between them or intensifies lipid metabolic dysregulation, thereby elevating the risk of hyperuricemia. This study aims to investigate whether BMI mediates the association between RC and hyperuricemia, as well as the interaction or joint effect of BMI and RC on hyperuricemia.

methodsThis is a cross-sectional study, involving a total of 14,218 hypertensive patients. Exposure factors include RC and BMI. The outcome was Hyperuricemia, defined as serum uric acid (SUA) ≥ 420 µmol/L. Multivariable logistic regression models and causal mediation analysis were used to examine the association between RC and BMI and the prevalence of hyperuricemia.

resultsA total of 14,218 hypertensive patients were enrolled in this cross-sectional study, comprising 6,713 (47.2%) males, with a mean age of 63.8 (9.36) years. The prevalence of diabetes mellitus was found to be 10.4% (1,473), while hyperuricemia accounted for approximately 44.4% (6,319). The results show that there is a linear positive correlation between RC and hyperuricemia (P for trend < 0.01). RC and BMI only had significant additive interaction on hyperuricemia, but there was no multiplicative interaction (Additive: RERI = 0.45, 95%CI: 0.13-0.78; Multiplicative, OR = 1.09, 95% CI 0.92-1.3, P = 0.308). There are direct and indirect effects between RC and hyperuricemia [estimate (95% CI): DE = 0.063 (0.048, 0.070), IE = 0.005 (0.003, 0.001)]. In the aforementioned causal mediation analysis, among the hyperuricemia caused by RC, BMI mediates 7.1%.

conclusionThe intermediary role of BMI and its interaction with RC play a pivotal role in augmenting the prevalence of hyperuricemia.

trial registrationRegistered prospectively in the Chinese Clinical Trial Registry (ChiCTR1800017274) on July 20, 2018. Access at https://www.chictr.org.cn/showproj.html?proj=28262 .

Indexed as

BiomarkersBody Mass IndexCholesterolHypertensionHyperuricemiaAgedChinaCross-Sectional StudiesFemaleFollow-Up StudiesHumansMaleMiddle AgedPrevalencePrognosisRisk FactorsBiomarkersCholesterolUric AcidBody mass indexHypertensionHyperuricemiaLipid metabolismRemnant cholesterol

Identifiers

PMID40102837
PMCPMC11917066

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.