Evidence map›Paper›PMID 27134771›Full record

ArticleBrain and behavior2016

Relationship between dyslipidemia and carotid plaques in a high-stroke-risk population in Shandong Province, China.

Te Mi, Shangwen Sun, Guoqing Zhang, Yaser Carora, Yifeng Du, Shougang Guo, Mingfeng Cao, Qiang Zhu, Yongxiang Wang, Qinjian Sun and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 32 citations in OpenAlex.

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  17. Association of circulating long non-coding RNA MALAT1 in diagnosis, disease surveillance, and prognosis of acute ischemic stroke.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Te MiNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Shangwen SunCardio-Cerebrovascular Control and Research Center Institute of Basic Medicine Shandong Academy of Medical Sciences Jinan Shandong 250062 China.
Guoqing ZhangNeurology Department Weifang Chinese Medicine Hospital Weifang Shandong 261041 China.
Yaser CaroraNeurosurgery Department Wayne State University School of Medicine Detroit Michigan 48201 China.
Yifeng DuNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Shougang GuoNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Mingfeng CaoMedical Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Qiang ZhuMedical Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Yongxiang WangNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Qinjian SunNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Xiang WangNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Chuanqiang QuNeurology Department Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 China.
Shandong Provincial Hospital · CNShandong University · CNShandong First Medical University · CNWayne State University · USWeifang Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe precise associations between stroke and carotid plaques and dyslipidemia are unclear. This population-based study aimed to examine the relationship between carotid plaques and dyslipidemia in a high-stroke-risk population.

methodsUltrasonography of left and right carotid arteries was conducted in 22,222 participants in a second screening survey of individuals with high stroke risk. Subjects were divided into two groups according to the presence or absence of carotid plaques. Blood TC (total cholesterol), TG (total triglycerides), and LDL-C (low-density lipoprotein cholesterol) levels were recorded.

resultsMultivariate logistic regression analysis, controlled for gender, age, education, geographic region, smoking, exercise, and overweight (Model 2), identified TG as a predictor of carotid-plaque risk (odds ratio [OR] = 1.109, 95% confidence interval [CI]: 1.038-1.185, P = 0.002), and the association between carotid plaques and LDL-C (OR = 0.967, 95%CI: 0.949-0.994, P = 0.019) was less significant, whereas there was no association between carotid plaques and TC (OR = 1.002, 95%CI: 0.932-1.007, P = 0.958). After additional adjustment for hypertension, diabetes, and atrial fibrillation (Model 3), TG remained a risk factor for carotid plaques (OR = 1.086, 95%CI: 1.016-1.161, P = 0.015), but no associations were observed between carotid plaques and LDL-C (OR = 0.972, 95%CI: 0.910-1.038, P = 0.394) or TC (OR = 1.003, 95%CI: 0.933-1.079, P = 0.928). Only the association between TG and carotid plaques (OR = 1.084, 95%CI: 1.014-1.159, P = 0.017) was independent of all covariates (covariates in Model 3 plus history of stroke or transient ischemic attack, and stroke family history) in Model 4.

conclusionThese findings indicate that TG was an independent risk factor for carotid plaques in high-risk population for stroke, whereas LDL-C and TC were not associated with the appearance of carotid plaques independently.

Indexed as

AgedCarotid Artery DiseasesChinaDyslipidemiasFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticRisk FactorsStrokeCarotid plaquedyslipidemiastroke

Identifiers

PMID27134771
PMCPMC4842930
OpenAlexW2342345128

What OpenQuestion holds

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LicenceCC BY
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.