Evidence map›Paper›PMID 32765031›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Correlation Between Serum Uric Acid Level and Central Body Fat Distribution in Patients with Type 2 Diabetes.

Jing Zong, Yi Sun, Yiqian Zhang, Jin Yuan, Xinlei Wang, Rongping Zhang, Xiaoqin Zhao, Xuying Zhao, Yunjuan Gu

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

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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

24 citing papers in PubMed, 29 citations in OpenAlex.

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  13. Associations Between Low Serum Urate, Body Composition, and Mortality.Arthritis & rheumatology (Hoboken, N.J.) · 2023
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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

9 authors at 1 institution in 1 country.

Jing Zong *Department of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Yi Sun *Department of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Yiqian ZhangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Jin YuanDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Xinlei WangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.ORCID 0000-0001-8658-223X
Rongping ZhangDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Xiaoqin ZhaoDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Xuying ZhaoDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Yunjuan GuDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, People's Republic of China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to investigate the correlation between serum uric acid level and central body fat distribution in patients with type 2 diabetes (T2DM).

methodsA total of 867 patients with T2DM were enrolled. Measurements of central fat distribution were obtained by dual energy X-ray absorptiometry. Patients were stratified into three groups according to their levels of serum uric acid (SUA). Multiple linear regression analysis was used to determine the association between SUA and central body fat distribution. Logistic regression analysis was used to estimate the risk factors for hyperuricemia (HUA). Mediation analysis was applied to assess the overall, direct, and indirect mediators of SUA levels.

resultsMultiple linear regression analysis showed that SUA levels were significantly positively correlated with waist circumference (WC), body mass index (BMI), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), Android fat mass, Gynoid fat mass, fasting c-peptide (F-CP), and area under the curve of C-peptide (P < 0.05 for all). VAT [odds ratio (OR), 2.367; 95% confidence interval (CI), 1.078-5.197; P < 0.001)], WC (OR, 1.041; 95% CI, 1.011-1.072; P < 0.001), high-density lipoprotein (OR, 0.274; 95% CI, 0.104-0.727; P < 0.001), and estimated glomerular filtration rate (OR, 0.966; 95% CI, 0.959-0.973; P < 0.001) were found to be independent risk factors for T2DM patients with HUA. After mediation analysis, BMI and central obesity were found to have different partial effects on the association between SUA and F-CP (P < 0.001).

conclusionIn patients with T2DM, HUA was positively correlated with F-CP and central body fat distribution, especially VAT. These results suggest that central obesity may play a role in the positive correlation between HUA and insulin resistance (IR).

Indexed as

central obesityinsulin resistanceserum uric acidtype 2 diabetes

Identifiers

PMID32765031
PMCPMC7372004
OpenAlexW3043185165

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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 OpenQuestion graph.