Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2011-8-23
pubmed:abstractText
Better methods are required to identify patients with asymptomatic carotid stenosis (ACS) at risk of future stroke. Two potential markers of high risk are echolucent plaque morphology on carotid ultrasound and embolic signals (ES) in the ipsilateral middle cerebral artery on transcranial Doppler ultrasound (TCD). We explored the predictive value of a score based on these 2 measures in the prospective, observational, international multicenter Asymptomatic Carotid Emboli Study.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1526-632X
pubmed:author
pubmed:issnType
Electronic
pubmed:day
23
pubmed:volume
77
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
751-8
pubmed:meshHeading
pubmed-meshheading:21849657-Aged, pubmed-meshheading:21849657-Aged, 80 and over, pubmed-meshheading:21849657-Carotid Stenosis, pubmed-meshheading:21849657-Chi-Square Distribution, pubmed-meshheading:21849657-Embolism, pubmed-meshheading:21849657-Female, pubmed-meshheading:21849657-Functional Laterality, pubmed-meshheading:21849657-Humans, pubmed-meshheading:21849657-International Cooperation, pubmed-meshheading:21849657-Longitudinal Studies, pubmed-meshheading:21849657-Magnetic Resonance Imaging, pubmed-meshheading:21849657-Male, pubmed-meshheading:21849657-Middle Cerebral Artery, pubmed-meshheading:21849657-Predictive Value of Tests, pubmed-meshheading:21849657-Proportional Hazards Models, pubmed-meshheading:21849657-Retrospective Studies, pubmed-meshheading:21849657-Risk Factors, pubmed-meshheading:21849657-Stroke, pubmed-meshheading:21849657-Tomography, X-Ray Computed, pubmed-meshheading:21849657-Ultrasonography, Doppler, Transcranial
pubmed:year
2011
pubmed:articleTitle
Ultrasonic plaque echolucency and emboli signals predict stroke in asymptomatic carotid stenosis.
pubmed:affiliation
Clinical Neuroscience, St. Georges University of London, London, UK. raffi.topakian@hotmail.com
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Multicenter Study