Evidence map›Paper›PMID 32062644›Full record

ArticleJournal of atherosclerosis and thrombosis2020

Association of Small Dense Low-Density Lipoprotein Cholesterol with Stroke Risk, Severity and Prognosis.

Peiyang Zhou, Jincheng Liu, Lingyun Wang, Wenmin Feng, Zhihua Cao, Pu Wang, Guangzhi Liu, Chenglin Sun, Yan Shen, Lijun Wang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

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  18. Atherogenic circulating lipoproteins in ischemic stroke.Frontiers in cardiovascular medicine · 2024
    Review
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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

15 authors at 2 institutions in 1 country.

Peiyang ZhouXiangyang No.1 People's Hospital, Hubei University of Medicine.
Jincheng LiuXiangyang No.1 People's Hospital, Hubei University of Medicine.
Lingyun WangXiangyang No.1 People's Hospital, Hubei University of Medicine.
Wenmin FengXiangyang No.1 People's Hospital, Hubei University of Medicine.
Zhihua CaoXiangyang No.1 People's Hospital, Hubei University of Medicine.
Pu WangXiangyang No.1 People's Hospital, Hubei University of Medicine.
Guangzhi LiuXiangyang No.1 People's Hospital, Hubei University of Medicine.
Chenglin SunXiangyang No.1 People's Hospital, Hubei University of Medicine.
Yan ShenRuijin Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine.
Lijun WangBiotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine.
Jiahuan XuBiotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine.
Peng MengBiotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine.
Ziwei LiBiotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine.
Wang-Yang XuBiotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine.
Xifa LanQinhuangdao No.1 Hospital.
Hubei University of Medicine · CNRuijin Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the association of small dense low-density lipoprotein cholesterol (sdLDL-C) and acute ischemic stroke (AIS) in terms of risk, severity, and outcomes. Prediction models were established to screen high-risk patients and predict prognosis of AIS patients.

methodsWe enrolled in this study 355 AIS patients and 171 non-AIS controls. AIS was subtyped according to TOAST criteria, and the severity and outcomes of AIS were measured. Blood glucose and lipid profiles including total cholesterol, triglyceride, and lipoproteins were measured in all patients using automatic measure. Lipoprotein subfractions were detected by the Lipoprint LDL system.

resultsAs compared with the non-AIS control group, the AIS group had higher sdLDL-C levels. Pearson correlation analysis revealed that the sdLDL-C level and risk of AIS, especially non-cardioembolic stroke, were positively correlated. The area under the curve of sdLDL-C for AIS risk was 0.665, better than that of other lipids. Additionally, the sdLDL-C level was significantly correlated with AIS severity and bad outcomes. A logistic regression model for assessing the probability of AIS occurrence and a prognostic prediction model were established based on sdLDL-C and other variables.

conclusionsElevated levels of sdLDL-C were associated with a higher prevalence of AIS, especially in non-cardioembolic stroke subtypes. After adjustment for other risk factors, sdLDL-C was found to be an independent risk factor for AIS. Also, sdLDL-C level was strongly associated with AIS severity and poor functional outcomes. Logistic regression models for AIS risk and prognosis prediction were established to help clinicians provide better prevention for high-risk subjects and monitor their prognosis.

Indexed as

AgedCholesterol, LDLFemaleFollow-Up StudiesHumansIschemic StrokeLogistic ModelsMaleMiddle AgedPrognosisRisk FactorsCholesterol, LDLAIS prognosisAIS riskLogistic regression modelsdLDL-C

Identifiers

PMID32062644
PMCPMC7840160
OpenAlexW3005809691

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.