Evidence map›Paper›PMID 29734946›Full record

ArticleLipids in health and disease2018

Positively increased visceral adiposity index in hyperuricemia free of metabolic syndrome.

Dongfeng Gu, Yanan Ding, Yunfeng Zhao, Shuzhai Miao, Qingshan Qu

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  11. Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
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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

5 authors at 2 institutions in 1 country.

Dongfeng GuDepartment of Nephrology and Transplantation Center, The People's Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou, 450003, People's Republic of China. dongfenggu@hotmail.com.
Yanan DingDivision of Cardiovascular Medicine, The People's Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou, 450003, People's Republic of China.
Yunfeng ZhaoDepartment of Nephrology and Transplantation Center, The People's Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou, 450003, People's Republic of China.
Shuzhai MiaoDepartment of Nephrology and Transplantation Center, The People's Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou, 450003, People's Republic of China.
Qingshan QuDepartment of Nephrology and Transplantation Center, The People's Hospital of Zhengzhou, Affiliated with Southern Medical University, Zhengzhou, 450003, People's Republic of China.
Zhengzhou People's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral adiposity index (VAI) was closely associated with metabolic syndrome, however almost no research focused on VAI and hyperuricemia, therefore, this study was conducted to determine the relationship of VAI and hyperuricemia free of metabolic syndrome and estimate the power of VAI as predictor for hyperuricemia.

methodsA cross-sectional research coming from a health check-up program was conducted. All participants were divided into four groups according to VAI quartiles. A multivariate logistic analysis was used to analyze the relationship between the quartiles and hyperuricemia. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for hyperuricemia.

resultsVAI was independent risk factor of hyperuricemia. The ORs of which in the upper quartile were 3.077 (95%CI 1.78-5.293), P = 0.000, in model 1, after adjusting for age, systolic blood pressure, diastolic blood pressure, heart rate, fast plasma glucose, serum creatinine, triglyceride, total cholesterol, high density lipoprotein cholesterol, and low density lipoprotein cholesterol; and 3.041 (95CI 1.767-5.233), P = 0.000, in model 2, after adjusting for the above plus physical activity, diet, smoking habits, alcohol consumption, hypertension and diabetes history. The area under the ROC curve (AUC) value of VAI was 0.618 (95%CI 0.572-0.665), P = 0.000; it was higher than WC, which was 0.556 (95%CI 0.508-0.604), P = 0.024, for hyperuricemia.

conclusionsVAI was associated with hyperuricemia among individuals free of metabolic syndrome, and also a powerful indicator.

Indexed as

AgedAlcohol DrinkingBlood PressureBody Mass IndexCholesterol, HDLCholesterol, LDLDiabetes MellitusFemaleHumansHyperuricemiaIntra-Abdominal FatMaleMetabolic SyndromeMiddle AgedObesity, AbdominalRisk FactorsCholesterol, HDLCholesterol, LDLTriglyceridesHyperuricemiaMetabolic syndromeObesityVisceral adiposity index

Identifiers

PMID29734946
PMCPMC5938806
OpenAlexW2806264392

What OpenQuestion holds

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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.