Evidence map›Paper›PMID 40696787›Full record

ReviewFuture cardiology2026

Carotid artery stenosis: a guide for clinicians.

Kamran Namjouyan, Jonathan A Tangsrivimol, Affan Rizwan, Iqra Riaz, Johao Escobar, Muzamil Khawaja, Hafeez Hassan Virk, Mahboob Alam, Alan Dardik, Chayakrit Krittanawong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Future cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Kamran NamjouyanDepartment of Internal Medicine, Geisinger Medical Center, Danville, PA, USA.
Jonathan A TangsrivimolDepartment of Neurosurgery, and Neuroscience, Weill Cornell Medicine, NewYork-Presbyterian Hospital, New York, NY, USA.
Affan RizwanDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Iqra RiazDepartment of Medicine, Adena Regional Medical Center, Chillicothe, OH, USA.
Johao EscobarDepartment of Internal Medicine, Mobile Infirmary Medical Center, Mobile, AL, USA.
Muzamil KhawajaDivision of Cardiology, Emory University School of Medicine, Atlanta, GA, USA.
Hafeez Hassan VirkHarrington Heart & Vascular Institute, Case Western Reserve University, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Mahboob AlamBaylor College of Medicine, Houston, TX, USA.
Alan DardikVascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA.
Chayakrit KrittanawongHumanX, Delaware, DE, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carotid artery stenosis (CS) is a critical diagnosis linked to ischemic stroke, a leading cause of morbidity and mortality, affecting about 4% of the general population. Risk factors for CS include age, hypertension, dyslipidemia, diabetes, and smoking, with poly vascular disease seen in 45% of patients with known atherosclerotic disease. Early recognition and management of CS are crucial to prevent stroke by utilizing imaging modalities like Duplex ultrasound (DUS). Management of CS involves complex decision-making that balances the risks and benefits of intervention against the developing diagnostic and therapeutic modalities. This narrative review aims to review and examine the current guidelines for clinicians' approach to CS.

Indexed as

Carotid StenosisEndarterectomy, CarotidPractice Guidelines as TopicHumansRisk FactorsStentsStrokeCarotid artery stenosiscarotid artery stentingendarterectomyrevascularizationstroke

Identifiers

PMID40696787
PMCPMC13285644

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.