Evidence map›Paper›PMID 34349538›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Associations of Serum Uric Acid with Clustering of Cardiovascular Risk Factors and a 10-Year Atherosclerotic Cardiovascular Disease Risk Score in Jiangsu Adults, China.

Ting Tian, Yuanyuan Wang, Wei Xie, Jingxian Zhang, Qianrang Zhu, Xianzhen Peng, Yonglin Zhou, Yue Dai

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  8. How Can We Favorably Modulate Serum Uric Acid?Arquivos brasileiros de cardiologia · 2021
    Article
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

8 authors at 2 institutions in 1 country.

Ting Tian *Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.ORCID 0000-0001-5043-0015
Yuanyuan Wang *Institute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Wei XieInstitute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Jingxian ZhangInstitute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Qianrang ZhuInstitute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Xianzhen PengDepartment of Public Health and Preventive Medicine, Kangda College of Nanjing Medical University, Lianyungang, Jiangsu, 222000, People's Republic of China.
Yonglin ZhouInstitute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Yue DaiInstitute of Food Safety and Assessment, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, 210009, People's Republic of China.
Jiangsu Provincial Center for Disease Control and Prevention · CNKangda College of Nanjing Medical University

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe relationship between serum uric acid (SUA) and Chinese characteristic 10-year atherosclerotic cardiovascular disease (ASCVD) risk score has not been well evaluated in Chinese populations. Aims of this cross-sectional study were to describe the correlation between SUA level and clustering of prevalent cardiovascular risk factors (CRFs) including overweight, central obesity, hypertension, diabetes and dyslipidemia, as well as the Chinese 10-year ASCVD risk score in adults from Jiangsu Province located in Eastern China. PATIENTS AND

methodsA total of 7700 adults from 12 cities in Jiangsu Province were selected through multi-stage stratified cluster random sampling method in 2015. Face-to-face interviews, physical examinations and laboratory examinations were carried out to collect the information of the participants. Multivariate logistic analysis was used to analyze the relationship between SUA quartiles and various CVD risk factors. The nonlinear analysis was conducted to evaluate the relationship between SUA levels and the China-PAR 10-year ASCVD risk scores.

resultsThe prevalence of hyperuricemia was 13.3% in all of the participants. By adjusting potential confounders, significant correlations were found between the SUA level and the overweight, central obesity, hypertension and dyslipidemia in both males and females. The clustering of CRFs was different across SUA quantiles (

conclusionThe accumulation of CRFs increased with elevated SUA levels, whereas it was different between genders in the relationship between SUA and 10-year ASCVD risk scores. Tailored strategies should be taken when it came to males and females in managing SUA.

Indexed as

cardiovascular risk factorsChina-PAR risk scoreclusteringserum uric acid

Identifiers

PMID34349538
PMCPMC8326528
OpenAlexW3186334330

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.