Evidence map›Paper›PMID 38988596›Full record

ArticleFrontiers in neurology2024

Relationship between carotid atherosclerosis and lipoprotein (a) in patients with acute ischemic stroke.

Yongna Zhao, Zhichao Wang, Ruijun Ji, Yongjun Wang, Yaguang Zhang, Kai Yu

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

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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

6 authors.

Yongna ZhaoDepartment of Neurology, Renqiu Kangji Hospital, Renqiu, China.
Zhichao WangDepartment of Neurology, Renqiu Kangji Hospital, Renqiu, China.
Ruijun JiDepartment of Neurology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
Yaguang ZhangDepartment of Neurology, Renqiu Kangji Hospital, Renqiu, China.
Kai YuDepartment of Neurology, Renqiu Kangji Hospital, Renqiu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to examine the relationship between lipoprotein (a) (Lp[a]) and other blood lipid indexes and carotid artery atherosclerosis in patients with acute ischemic stroke (AIS). Methods: A total of 2,018 patients were selected from the hospital "acute stroke intervention and secondary prevention registration database" by identifying blood fat indexes (cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol and Lp[a]). Based on the results of carotid artery ultrasound examinations, the patients were divided into a "no plaque" group, comprising 400 patients, a "plaque and no stenosis" group, comprising 1,122 patients and a "carotid stenosis" group, comprising 496 patients. The relationship between Lp(a) and blood lipid indexes and carotid artery atherosclerosis was then investigated using multi-factor logistics regression analysis. Results: There were 400 patients (19.8%) with no carotid plaque, 1,122 patients (55.6%) with plaque and no carotid stenosis and 496 patients (24.6%) with carotid stenosis. As the degree of carotid artery atherosclerosis increased, the Lp(a) level gradually increased; Lp(a) and cholesterol were identified as independent risk factors for carotid atherosclerosis. Conclusion: Lipoprotein (a) and cholesterol are independent risk factors for patients with AIS with carotid atherosclerosis, and their levels increase with the degree of carotid artery atherosclerosis; therefore, attention should focus on levels of cholesterol and Lp(a) in acute stroke patients to control atherosclerosis effectively.

Indexed as

acute ischemic strokeblood lipidcarotid artery atherosclerosischolesterollipoprotein (a)

Identifiers

PMID38988596
PMCPMC11234851

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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.