Evidence map›Paper›PMID 32855717›Full record

ArticleExperimental and therapeutic medicine2020

Significance of high resolution MRI in the identification of carotid plaque.

Yong Sun, Lei Xu, Yan Jiang, Ming Ma, Xin-Yi Wang, Ying Xing

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 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.

Yong SunDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Lei XuDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Yan JiangDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Ming MaDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Xin-Yi WangDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Ying XingDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stability of carotid artery plaque serves a key role in the occurrence of stroke. The present study was based on the recruitment of patients with acute ischemic cerebrovascular disease. High-resolution magnetic resonance imaging (HR-MRI) was used to identify the nature of carotid artery plaque, and the results were then used to manage the high-risk group of stroke. The patients were divided equally into a symptomatic group (36 cases) and an asymptomatic group (36 cases). According to the degree of carotid artery stenosis, the patients were divided into mild, moderate and severe stenosis groups, each group comprising 12 patients, and HR-MRI was performed. The proportion of patients with vulnerable plaque in the symptomatic group was higher compared with that in the asymptomatic group (P<0.05). The more severe the stenosis, the higher the proportion of vulnerable plaque that was identified (P<0.05). Compared with carotid ultrasound, HR-MRI was indicated to have the capability to both identify and quantify the different components in the plaque, allowing an assessment of its properties. In conclusion, the present study demonstrated that carotid HR-MRI is able to distinguish and quantify the different components of plaque, which may prove to be helpful for the hierarchical management of a population at high risk of stroke.

Indexed as

carotid arterycarotid ultrasoundhigh-resolution MRIstenosisvulnerable plaque

Identifiers

PMID32855717
PMCPMC7444342

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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.