Evidence map›Paper›PMID 25999988›Full record

ArticleInterventional neurology2015

Stent Placement for Severe Stenosis of the Left Common Carotid Artery with Internal-to-External Carotid Steal.

Ryota Kimura, Katsutoshi Takayama, Kaoru Myouchin, Takeshi Wada, Shinichiro Kurokawa, Kimihiko Kichikawa

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Interventional neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 89% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Ryota KimuraDepartment of Neurosurgery, Ishinkai Yao General Hospital, Yao, Japan.
Katsutoshi TakayamaDepartment of Radiology and Interventional Neuroradiology, Ishinkai Yao General Hospital, Yao, Japan.
Kaoru MyouchinDepartment of Radiology and Interventional Neuroradiology, Ishinkai Yao General Hospital, Yao, Japan.
Takeshi WadaDepartment of Radiology, Nara Medical University, Kashihara, Japan.
Shinichiro KurokawaDepartment of Neurosurgery, Ishinkai Yao General Hospital, Yao, Japan.
Kimihiko KichikawaDepartment of Radiology, Nara Medical University, Kashihara, Japan.
Yao Tokushukai General Hospital · JPNara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the case of a 64-year-old male with internal carotid artery (ICA)-to-external carotid artery (ECA) steal due to severe stenosis of the common carotid artery (CCA). Left CCA occlusion was initially diagnosed on 3-dimensional time-of-flight magnetic resonance angiography, but digital subtraction angiography revealed severe stenosis of the left CCA and retrograde flow through the left ICA feeding the left ECA. Diverted blood flow from ECA to ICA in cases with occlusion or severe stenosis of the CCA represents a well-known alternative collateral flow pattern called ECA-to-ICA steal. However, collateral flow from ICA to ECA is rarely observed and may be termed ICA-to-ECA steal. We treated CCA stenosis in our patient by carotid artery stenting (CAS) because his CCA stenosis had been gradually progressing since the initial ischaemic attack. Antegrade ICA flow subsequently recovered. To the best of our knowledge, this is the first report of ICA-to-ECA steal normalised by the treatment of CCA stenosis using CAS.

Indexed as

3-dimensional time-of-flight magnetic resonance angiographyCarotid artery stentingInternal-to-external carotid artery steal

Identifiers

PMID25999988
PMCPMC4436529
OpenAlexW2020954849

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.