Evidence map›Paper›PMID 33183255›Full record

ArticleBMC neurology2020

Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population.

Ruisheng Duan, Wenjun Xue, Kunpeng Wang, Nan Yin, Hongyu Hao, Hongshan Chu, Lijun Wang, Peng Meng, Le Diao

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

9 authors at 4 institutions in 1 country.

Ruisheng DuanDepartment of Neurology, Hebei General Hospital, Shijiazhuang, 050000, Hebei, China. 13832140261@139.com.
Wenjun XueDepartment of Neurology, the First People's Hospital of Pingdingshan, Henan, 467000, Pingdingshan, China.ORCID http://orcid.org/0000-0002-4260-9231
Kunpeng WangDepartment of Neurosurgery, the Affiliated Hospital of Chengde Medical University, Chengde, 067000, Hebei, China.
Nan YinDepartment of Neurology, Hebei General Hospital, Shijiazhuang, 050000, Hebei, China.
Hongyu HaoDepartment of Neurology, Hebei General Hospital, Shijiazhuang, 050000, Hebei, China.
Hongshan ChuDepartment of Neurology, Hebei General Hospital, Shijiazhuang, 050000, Hebei, China.
Lijun WangDepartment of Medicine, Shanghai Zhangjiang institute of Medical innovation, Biotecan Pharmaceuticals co., ltd., Shanghai, 201204, China.
Peng MengDepartment of Medicine, Shanghai Zhangjiang institute of Medical innovation, Biotecan Pharmaceuticals co., ltd., Shanghai, 201204, China. mengpeng@biotecan.com.
Le DiaoDepartment of Medicine, Shanghai Zhangjiang institute of Medical innovation, Biotecan Pharmaceuticals co., ltd., Shanghai, 201204, China. diaole@biotecan.com.
Hebei General Hospital · CNShanghai Innovative Research Center of Traditional Chinese Medicine · CNChengde Medical University · CNPingdingshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute ischemic stroke (AIS) is one of the leading causes of mortality and long-term disability worldwide. Our study aims to clarify the role of low-density lipoproteins (LDL) subclasses in the occurrence of AIS and develop a risk xprediction model based on these characteristics to identify high-risk people.

methodsFive hundred and sixty-six patients with AIS and 197 non-AIS controls were included in this study. Serum lipids and other baseline characteristics including fasting blood glucose (GLU), serum creatinine (Scr), and blood pressure were investigated in relation to occurrence of AIS. The LDL subfractions were classified and measured with the Lipoprint System by a polyacrylamide gel electrophoresis technique.

resultsLevels of LDL-3, LDL-4 and LDL-5 subclasses were significantly higher in the AIS group compared to the non-AIS group and lower level of LDL-1 was prevalent in the AIS patients. Consistently, Spearman correlation coefficient demonstrated that sd-demonevels, especially LDL-3 and LDL-4 levels, were significantly positively correlated with AIS. Furthermore, there is a significant positive correlation between small dense LDL (sd-LDL, that is LDL-3 to 7) levels and serum lipids including total cholesterol (TC), Low density lipoprotein cholesterol (LDL-C), and Triglyceride (TG). Increased LDL-3 and LDL-4 as well as decreased LDL-1 and LDL-2 were correlated to the occurrence of AIS, even in the people with normal LDL-C levels. A new prediction model including 12 variables can accurately predict the AIS risk in Chinese patients (AUC = 0.82 ± 0.04).

conclusionsLevels of LDL subclasses should be considered in addition to serum LDL-C in assessment and management of AIS. A new prediction model based on clinical variables including LDL subtractions can help clinicians identify high of AIS, even in the people with norm.

Indexed as

Cholesterol, LDLIschemic StrokeCase-Control StudiesChinaHumansRisk FactorsCholesterol, LDLCerebrovascular diseaseIschemic strokeLDL subclassesSmall dense LDL

Identifiers

PMID33183255
PMCPMC7664065
OpenAlexW3099973253

What OpenQuestion holds

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LicenceCC BY
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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.