Evidence map›Paper›PMID 31601236›Full record

ArticleJournal of translational medicine2019

Visceral adipose accumulation increased the risk of hyperuricemia among middle-aged and elderly adults: a population-based study.

Xiaolin Huang, Xiaohong Jiang, Long Wang, Lu Chen, Yang Wu, Pei Gao, Fei Hua

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 63 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Xiaolin HuangDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Xiaohong JiangDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Long WangDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Lu ChenDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Yang WuDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Pei GaoDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China.
Fei HuaDepartment of Endocrine and Metabolic Diseases, The Third Affiliated Hospital of Soochow University, 185 Juqianjie Road, Changzhou, 213000, Jiangsu, China. czhuafei@vip.sina.com.ORCID 0000-0001-6958-7979
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of body fat distribution in uric acid metabolism is still ambiguity. We aimed to investigate the independent contribution of visceral adipose measured by visceral adiposity index and lipid accumulation product and liver fat assessed by fatty liver index to the risk of hyperuricemia.

methodsWe conducted a cross-sectional study involving 1284 participants aged ≥ 40 years old recruited from communities in Zhonglou district, Changzhou. Each participant completed a standard questionnaire, and provided blood samples for biochemical measurements. Visceral adiposity index, fatty liver index and lipid accumulation product were calculated by simple anthropometric and functional parameters. Hyperuricemia was defined as serum uric acid ≥ 420 μmol/l for males and ≥ 360 μmol/l for females.

resultsThe prevalence of hyperuricemia was 15.9% and gradually increased across tertiles of adiposity-based indices. The visceral adipose-based measurements (visceral adiposity index, fatty liver index, lipid accumulation product) had better power to discriminate hyperuricemia than body mass index (BMI), waist circumference and neck circumference, and visceral adiposity index exhibited the highest power, with the area under the receiver operating characteristics curve (AUROC) of 0.662 (0.636-0.688). Multivariate logistic regression found 1.49-fold, 2.21-fold and 2.12-fold increased risk of hyperuricemia with 1-unit increment of visceral adiposity index, fatty liver index, and lipid accumulation product, respectively. Compared to tertile 1, the odds ratios of hyperuricemia for the second tertile and the third tertile of visceral adiposity index were 1.57 (1.00-2.50) and 3.11 (1.96-4.94), those of fatty liver index were 1.64 (1.05-2.68) and 3.58 (1.94-6.01), and those of lipid accumulation product were 1.93 (1.19-3.15) and 3.53 (2.05-6.09), respectively. However, no significant associations of BMI, waist circumference and neck circumference with hyperuricemia were observed.

conclusionsVisceral adipose accumulation increased the risk of hyperuricemia, independently of BMI, waist circumference and neck circumference, among middle-aged and elderly Chinese adults.

Indexed as

AdiposityAdultAgedArea Under CurveFemaleHumansHyperuricemiaIntra-Abdominal FatMaleMiddle AgedPrevalenceRegression AnalysisRisk FactorsROC CurveUric AcidUric AcidBody mass indexFatty liver indexHyperuricemiaLipid accumulation productNeck circumferenceVisceral adiposity indexWaist circumference

Identifiers

PMID31601236
PMCPMC6785935
OpenAlexW2979568147

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.