Evidence map›Paper›PMID 29387630›Full record

ArticleJournal of cerebrovascular and endovascular neurosurgery2017

Usefulness of Plaque Magnetic Resonance Imaging in Identifying High-Risk Carotid Plaques Irrespective of the Degree of Stenosis.

Jinseong Lee, Jinsang Kil, Dae-Won Kim, Sung-Don Kang

Open access · hybridAbstract read
In one paragraph

Article in Journal of cerebrovascular and endovascular neurosurgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Carotid atherosclerotic disease.Jornal vascular brasileiro
    Article
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

4 authors at 1 institution in 1 country.

Jinseong LeeInstitute of Wonkwang Medical Science, Department of Neurosurgery, Wonkwang University School of Medicine, Iksan, Korea.
Jinsang KilInstitute of Wonkwang Medical Science, Department of Neurosurgery, Wonkwang University School of Medicine, Iksan, Korea.
Dae-Won KimInstitute of Wonkwang Medical Science, Department of Neurosurgery, Wonkwang University School of Medicine, Iksan, Korea.
Sung-Don KangInstitute of Wonkwang Medical Science, Department of Neurosurgery, Wonkwang University School of Medicine, Iksan, Korea.ORCID https://orcid.org/0000-0002-3965-1674
Wonkwang University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMeasurement of the degree of stenosis is not enough to decide on the treatment strategy for patients with carotid stenosis. Plaque morphology examination is needed for such a decision-making. Thus, we evaluated the usefulness of plaque magnetic resonance imaging (MRI) to decide on the modality of treatment for patients with carotid atherosclerotic plaques. MATERIALS AND

methodsFifteen patients presenting with carotid stenosis between 2014 and 2016 were included. They underwent angiography for measurement of the degree of stenosis. Carotid plaques were visualized using MRI.

resultsThere were six (40%) stable and nine (60%) unstable plaques. Seven symptomatic patients (77.7%) had unstable lesions and two symptomatic patients (33.3%) had stable lesions (

conclusionIPH in plaque MRI is significantly associated with ischemic symptoms and has a high risk for subsequent ischemic cerebrovascular events irrespective of the degree of stenosis. Plaque MRI is a useful tool in predicting symptomatic risks for carotid stenosis irrespective of the degree of such stenosis.

Indexed as

Atherosclerotic plaqueCarotid stenosisHemorrhageMagnetic resonance imaging

Identifiers

PMID29387630
PMCPMC5788837
OpenAlexW2794417531

What OpenQuestion holds

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LicenceCC BY-NC
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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.