Evidence map›Paper›PMID 39865110›Full record

ArticleAnnals of Indian Academy of Neurology2025

Symptomatic Cervical Carotid Artery Stenosis: Evolving Paradigms in Risk Stratification and Intervention.

Ivy Anne Sebastian, Kazbek Barakhanov, Aravind Ganesh

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology, 2025. 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
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.

  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

3 authors.

Ivy Anne SebastianDepartment of Clinical Neurosciences, University of Calgary, Alberta, Canada.
Kazbek BarakhanovDepartment of Clinical Neurosciences, University of Calgary, Alberta, Canada.
Aravind GaneshDepartments of Clinical Neurosciences and Community Health Sciences, The Hotchkiss Brain Institute, The Mathison Centre for Mental Health Research and Education, and The O'Brien Institute for Public Health, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symptomatic carotid disease, characterized by atherosclerotic or non-atherosclerotic internal carotid artery disease with ipsilateral stroke symptoms, represents a critical condition in stroke neurology. This "hot carotid" state carries a high risk of stroke recurrence, with almost one-fourth of the patients experiencing recurrent ischemic events within 2 weeks of initial presentation. The global prevalence of significant carotid stenosis (conventionally defined as ≥50% narrowing) is estimated at around 1.8% in men and 1.2% in women and increases with age. Management of symptomatic carotid disease remains challenging, requiring a balance between urgent medical and surgical interventions and their associated risks. Current treatment approaches combine medical management, focusing on optimal antithrombotic therapy, with revascularization procedures such as carotid endarterectomy or carotid artery stenting. However, decision making has evolved beyond considering stenosis degree alone, now incorporating advanced imaging data on plaque composition and intraluminal characteristics. Even though there are numerous randomized trials, uncertainties persist regarding optimal management, particularly in light of improved medical therapies and emerging concepts like symptomatic non-stenotic carotid disease. Future research directions include exploring newer antithrombotic regimens, refining patient selection criteria for revascularization, and evaluating novel techniques like transcarotid artery revascularization.

Identifiers

PMID39865110
PMCPMC11892978

What OpenQuestion holds

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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.