Evidence map›Paper›PMID 25630308›Full record

ArticleClinical rheumatology2015

Serum uric acid and its relationship with cardiovascular risk profile in Chinese patients with early-onset coronary artery disease.

Xiao-Min Dai, Lei Wei, Li-Li Ma, Hui-Yong Chen, Zhuo-Jun Zhang, Zong-Fei Ji, Wan-Long Wu, Ling-Ying Ma, Xiu-Fang Kong, Lin-Di Jiang

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Xiao-Min DaiDepartment of Rheumatology, Zhongshan Hospital affiliated to Fudan University, No. 180, Fenglin Road, Shanghai, 200032, China.
Lei Wei
Li-Li Ma
Hui-Yong Chen
Zhuo-Jun Zhang
Zong-Fei Ji
Wan-Long Wu
Ling-Ying Ma
Xiu-Fang Kong
Lin-Di Jiang
Fudan University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of coronary artery disease (CAD) is growing in the young population. We aimed to investigate the association between serum uric acid (SUA) levels and cardiovascular involvement in individuals under 45 years old diagnosed with early-onset CAD (EOCAD). Seven hundred eighty-six EOCAD patients were recruited and stratified into four groups by SUA levels. General information, serum indicators, and results of coronary angiography and echocardiography were recorded. The associations between SUA levels were explored by univariate and multivariate logistic regressions. With the increasing of SUA levels, the prevalence of hypertension and hyperlipidemia, triple branches involved, heart failure, and cardiac enlargement of left ventricle (LV), left atrium (LA), and right ventricle (RV) were significantly higher (all P < 0.05). The fourth group (SUA >8 mg/dl) had the highest proportions than other groups (all P < 0.05). After controlling potential confounders, multiple logistic regression analysis showed that odds ratios of SUA >8 mg/dl were 2.345 for triple branches involved (95 % confidence interval (CI) 1.335-4.119), 4.168 for heart failure (95 % CI 1.599-10.862), and 4.122 for LV enlargement (95 % CI 1.874-9.065) (P < 0.05). SUA >8 mg/dl was independently associated with triple branches involvement, heart failure and LV enlargement in Chinese EOCAD patients. Higher SUA level might play an important role in cardiac dysfunction and severity of EOCAD.

Indexed as

AdultAsian PeopleChinaCoronary AngiographyCoronary Artery DiseaseEchocardiographyFemaleHumansHyperlipidemiasHypertensionLogistic ModelsMaleMiddle AgedMultivariate AnalysisRisk FactorsUric AcidUric Acid

Identifiers

PMID25630308
OpenAlexW2056438221

What OpenQuestion holds

Textmetadata
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.