Evidence map›Paper›PMID 24558466›Full record

ArticlePloS one2014

Association of biomarkers of inflammation with dyslipidemia and its components among Mongolians in China.

Lingyan Tang, Hao Peng, Tian Xu, Aili Wang, Guiyan Wang, Weijun Tong, Yonghong Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 39 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

7 authors at 1 institution in 1 country.

Lingyan TangDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Hao PengDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Tian XuDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Aili WangDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Guiyan WangDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China ; Department of Health Care, Xiamen Maternal and Child Care Hospital, Xiamen, Fujian, China.
Weijun TongDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Yonghong ZhangDepartment of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to examine the association between inflammatory biomarkers and dyslipidemia and its components among Mongolians in China.

methodsData were obtained from 2544 Mongolians via standard questionnaires and blood samples in Inner Mongolia, China. High sensitivity C-reactive protein (hsCRP), soluble intercellular adhesion molecule-1 (sICAM-1) and soluble E-selectin (sE-selectin) as well as blood lipids were examined.

resultsIndividuals with dyslipidemia had higher levels of hsCRP, sICAM-1 and sE-selectin than those without dyslipidemia (all P values<0.001). Compared to the lowest quartile of inflammatory biomarkers, individuals with the highest quartile were more likely to have dyslipidemia (odds ratio, 95% confidence interval: 3.215, 2.551-4.116 for hsCRP; 1.575, 1.253-1.980 for sICAM-1; 1.495, 1.193-1.873 for sE-selectin). Moreover, hsCRP was associated with all the components of dyslipidemia, whereas, sICAM-1 was not related to high density lipoprotein cholesterol (HDL-c) or triglycerides (TAG). Additionally, sE-selectin was just associated with TAG.

conclusionOur study indicated that elevated plasma levels of hsCRP, sICAM-1 and sE-selectin were positively and significantly associated with increased risk of dyslipidemia among Mongolians. However, the associations were not identical for different inflammatory biomarkers with the components of dyslipidemia.

Indexed as

BiomarkersChinaC-Reactive ProteinCross-Sectional StudiesDyslipidemiasE-SelectinHumansInflammationIntercellular Adhesion Molecule-1Logistic ModelsMongoliaOdds RatioRisk FactorsSurveys and QuestionnairesBiomarkersC-Reactive ProteinE-SelectinIntercellular Adhesion Molecule-1

Identifiers

PMID24558466
PMCPMC3928392
OpenAlexW2086104488

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.