Evidence map›Paper›PMID 34534252›Full record

SynthesisPloS one2021

Ipsilateral internal carotid artery web and acute ischemic stroke: A cohort study, systematic review and meta-analysis.

Brian Mac Grory, Erez Nossek, Michael E Reznik, Matthew Schrag, Mahesh Jayaraman, Ryan McTaggart, Adam de Havenon, Shadi Yaghi, Wuwei Feng, Karen Furie and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  5. Cerebrovascular fibromuscular dysplasia.Therapeutic advances in neurological disorders · 2026
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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

11 authors at 6 institutions in 1 country.

Brian Mac GroryDivision of Vascular Neurology, Department of Neurology, Duke University School of Medicine, Durham, North Carolina, United States of America.ORCID 0000-0003-3914-8419
Erez NossekDivision of Vascular Neurosurgery, Department of Neurosurgery, New York University School of Medicine, New York City, New York, United States of America.
Michael E ReznikDivision of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America.
Matthew SchragDivision of Vascular Neurology, Department of Neurology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America.ORCID 0000-0001-7048-0503
Mahesh JayaramanDivision of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America.
Ryan McTaggartDivision of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America.
Adam de HavenonDivision of Vascular Neurology, Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Shadi YaghiDivision of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America.
Wuwei FengDivision of Vascular Neurology, Department of Neurology, Duke University School of Medicine, Durham, North Carolina, United States of America.
Karen FurieDivision of Vascular Neurology, Department of Neurology, Brown University, Providence, Rhode Island, United States of America.
Anusha BoyanpallyDivision of Vascular Neurology, Department of Neurology, Vidant Medical Center, Greenville, North Carolina, United States of America.
Brown University · USDuke University · USNew York University · USUniversity of Utah · USVanderbilt University · USVidant Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe carotid web is a compelling potential mechanism of embolic ischemic stroke. In this study, we aim to determine the prevalence of ipsilateral carotid web in a cohort of ischemic stroke patients and to perform a systematic review and meta-analysis of similar cohorts. PATIENTS &

methodsWe performed a retrospective, observational, cohort study of acute ischemic stroke patients admitted to a comprehensive stroke center from June 2012 to September 2017. Carotid web was defined on computed tomography angiography (CTA) as a thin shelf of non-calcified tissue immediately distal to the carotid bifurcation. We described the prevalence of carotid artery webs in our cohort, then performed a systematic review and meta-analysis of similar cohorts in the published literature.

resultsWe identified 1,435 potentially eligible patients of whom 879 met criteria for inclusion in our analysis. An ipsilateral carotid web was detected in 4 out of 879 (0.45%) patients, of which 4/4 (1.6%) were in 244 patients with cryptogenic stroke and 3/4 were in 66 (4.5%) patients <60 years old with cryptogenic stroke. Our systematic review yielded 3,192 patients. On meta-analysis, the pooled prevalence of ipsilateral carotid web in cryptogenic stroke patients <60 was 13% (95% CI: 7%-22%; I2 = 66.1%). The relative risk (RR) of ipsilateral versus contralateral carotid web in all patients was 2.5 (95% CI 1.5-4.2, p = 0.0009) whereas in patients less than 60 with cryptogenic stroke it was 3.0 (95% CI 1.6-5.8, p = 0.0011). DISCUSSION: Carotid webs are more common in young patients with cryptogenic stroke than in other stroke subtypes. Future studies concerning the diagnosis and secondary prevention of stroke associated with carotid web should focus on this population.

Indexed as

AgedCarotid Artery DiseasesCarotid Artery, InternalFemaleHumansIschemic StrokeMaleRetrospective Studies

Identifiers

PMID34534252
PMCPMC8448368
OpenAlexW3198930083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.