Evidence map›Paper›PMID 25128201›Full record

ArticleBMC cardiovascular disorders2014

A cross-sectional analysis of the relationship between uric acid and coronary atherosclerosis in patients with suspected coronary artery disease in China.

Yujiao Sun, Xin Yu, Ying Zhi, Song Geng, Hua Li, Ting Liu, Ke Xu, Ling Chen, Chunwei Wu, Guoxian Qi

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-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

7 citing papers in PubMed, 14 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

10 authors at 1 institution in 1 country.

Yujiao Sun
Xin Yu
Ying Zhi
Song Geng
Hua Li
Ting Liu
Ke Xu
Ling Chen
Chunwei Wu
Guoxian QiDepartment of Cardiology of Aging, Department of Cardiology, The First Affiliated Hospital of China Medical University, NO,155 Nanjing North Street, Heping Ward, Shenyang 110001, China. qigx2011@hotmail.com.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have examined the relationship between uric acid (UA) and coronary artery disease (CAD), whether UA is an independent risk factor contributing to progression of CAD is still controversial. Whether UA plays a different role in different sexes is also unclear.

methodsA total of 1116 individuals with suspected CAD were stratified into four groups according to their serum UA quartiles in total (men and women combined), in men, and in women. The association of UA with coronary atherosclerosis was assessed by univariable and multivariable logistic regression.

resultsIn total and in women, the prevalence of any plaques and significant/severe stenosis was significantly increased with an increase in quartiles of UA (all P < 0.05). The proportion of triple-vessel disease and left main artery lesion was highest in the fourth quartile (both p < 0.05). Increasing quartiles of UA were significantly associated with a coronary artery calcium score (CACS) >10 (all P < 0.01). As UA levels increased in women, the incidence of double-vessel lesions (p = 0.017) and the proportion of mixed plaques (p = 0.022) were significantly increased. The proportion of a CACS of 0 in total, in men and women was highest in the first quartile (all P < 0.01). UA was the strongest predictor of significant stenosis, multivessel disease, and mixed plaques in women (all p < 0.05). UA was the only risk factor for mixed plaques in total (P = 0.046).

conclusionThe level of UA was significantly associated with coronary atherosclerosis in women, but not men.

Indexed as

AgedBiomarkersChinaChi-Square DistributionCoronary AngiographyCoronary Artery DiseaseCoronary StenosisCross-Sectional StudiesDisease ProgressionFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedMultidetector Computed TomographyBiomarkersUric Acid

Identifiers

PMID25128201
PMCPMC4236559
OpenAlexW2018276701

What OpenQuestion holds

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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.