Evidence map›Paper›PMID 38166872›Full record

ArticleBMC endocrine disorders2024

Dyslipidemia and hyperuricemia: a cross-sectional study of residents in Wuhu, China.

Yicheng Fang, Wendan Mei, Chenxu Wang, Xia Ren, Jian Hu, Fan Su, Lei Cao, Grace Tavengana, Mingfei Jiang, Huan Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
9.2field-weighted citation impact, top 1% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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  20. Frontiers in nutrition · 2024
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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

11 authors at 1 institution in 1 country.

Yicheng FangSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Wendan MeiSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Chenxu WangSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Xia RenSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Jian HuSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Fan SuSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Lei CaoSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Grace TavenganaSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Mingfei JiangSchool of Clinical Medicine, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Huan WuSchool of Laboratory Medicine, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China.
Yufeng WenSchool of Public Health, Wannan Medical College, 22 West Wenchang Road, 241002, Wuhu, Anhui Province, China. wyf2015w@sina.com.
Wannan Medical College · CN

Funding

Teaching Reform and Quality Improvement Plan of the Department of Education of Anhui Province-Teaching Teacher 2019jxms066Teaching Reform and Quality Improvement Plan of the Department of Education of Anhui Province-Teaching Team 2018jxtd153
6 · The paper itself

Abstract

backgroundWhile dyslipidemia has been recognized as a potential risk factor for hyperuricemia, there is currently a dearth of large-scale data specifically focused on studying the relationship between these two conditions. To address this gap, the present study analyzed a dataset of 298,891 physical examination records to investigate in greater detail the clinical classification and compositional relationship between hyperuricemia and dyslipidemia.

methodsFor this investigation, a cross-sectional research design was utilized to analyze physical examination data that was gathered from Yijishan Hospital in Wuhu, China between 2011 and 2016. Logistic regression was employed to examine the association between hyperuricemia and dyslipidemia. Furthermore, the association between hyperuricemia and dyslipidemia was evaluated based on the clinical classifications of dyslipidemia and its components.

resultsA total of 298,891 participants from China (124,886 [41.8%] females) were included in the study, with an age range of 18 to 90 years (mean [SD]: 47.76 [13.54] years). In multivariate analysis, the odds of hyperuricemia was 1.878 times higher in patients with dyslipidemia compared to those without dyslipidemia (95% confidence interval [CI]: 1.835-1.922). In the clinical classification of dyslipidemia, individuals with hypertriglyceridemia and mixed hyperlipidemia had 1.753 times (95% CI: 1.706-1.802) and 1.925 times (95% CI: 1.870-1.982) higher odds of hyperuricemia, respectively, compared to those without dyslipidemia. Among the components of dyslipidemia, the odds ratios for hyperuricemia in individuals in the fourth quartile compared to those in the first quartile were 3.744 (95% CI: 3.636-3.918) for triglycerides, 1.518 (95% CI: 1.471-1.565) for total cholesterol, and 1.775 (95% CI: 1.718 - 1.833) for non-high-density lipoprotein cholesterol.

conclusionsDyslipidemia has been independently linked with hyperuricemia. Moreover, the elevation of triglycerides or total cholesterol levels, including conditions such as hypertriglyceridemia and mixed hyperlipidemia, have been observed to have a positive association with the development of hyperuricemia.

Indexed as

DyslipidemiasHyperlipoproteinemia Type VHypertriglyceridemiaHyperuricemiaAdolescentAdultAgedAged, 80 and overChinaCholesterolCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsCholesterolTriglyceridesUric AcidClinical classificationComponentsDyslipidemiaHyperuricemia

Identifiers

PMID38166872
PMCPMC10759755
OpenAlexW4390509027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.