Evidence map›Paper›PMID 33178809›Full record

ReviewAnnals of translational medicine2020

Brain imaging biomarkers of carotid artery disease.

Hediyeh Baradaran, Ajay Gupta

Open access · diamondAbstract readReview
In one paragraph

Review in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Hediyeh BaradaranDepartment of Radiology, University of Utah, Salt Lake City, UT, USA.
Ajay GuptaDepartment of Radiology, Weill Cornell Medicine, New York, NY, USA.
Cornell University · USUniversity of Utah · US

Funding

MRI Detection of CarotId Plaques as a mecHanism for Embolic strokes of undeteRmined source (MRI DECIPHER)R01HL144541 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, KAMEL, HOOMAN · 2019 to 2023
$3.9M
A Machine Learning Approach For CTA-based Plaque Characterization and Stroke Risk Prediction in Carotid Artery AtherosclerosisR21HL145427 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GUPTA, AJAY, SABUNCU, MERT RORY · 2019 to 2020
$244k
NHLBI NIH HHS R01 HL144541NHLBI NIH HHS R21 HL145427
6 · The paper itself

Abstract

Extracranial carotid artery atherosclerotic disease is a major contributor to ischemic stroke. Carotid atherosclerotic disease can present with a spectrum of findings ranging from mild carotid intima-media thickness to high-risk vulnerable carotid plaque features and carotid stenosis. Before leading to clinically overt stroke or transient ischemic attack, there may be other markers of downstream ischemia secondary to carotid atherosclerotic disease. In this review article, we will review some of the imaging findings that may be seen downstream to carotid artery disease on various imaging modalities, including hemodynamic and perfusional abnormalities which may be seen on CT, MR, or using other advanced imaging techniques, white matter hyperintensities on brain imaging, silent or covert brain infarctions, cerebral microbleeds, and regional and generalized cerebral volume loss. Many of these imaging findings are seen routinely on brain magnetic resonance imaging in patients without overt clinical symptoms. Despite frequently being asymptomatic, many of these imaging findings are also strongly associated with increased risk of future stroke, cognitive impairment, and even mortality. We will review the existing evidence underpinning the associations between these frequently encountered imaging findings and carotid artery atherosclerotic disease. Future validation of these imaging findings could lead to them being powerful biomarkers of cerebrovascular health.

Indexed as

Carotid artery diseasescerebrovascular disorderscognitive dysfunctionmagnetic resonance imagingstroke

Identifiers

PMID33178809
PMCPMC7607077
OpenAlexW3039551774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.