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Hemodynamics and oxygen extraction in chronic large artery steno-occlusive disease: Clinical applications for predicting stroke risk

Overview of attention for article published in Journal of Cerebral Blood Flow & Metabolism, September 2017
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Article details
Title
Hemodynamics and oxygen extraction in chronic large artery steno-occlusive disease: Clinical applications for predicting stroke risk
Published in
Journal of Cerebral Blood Flow & Metabolism, September 2017
DOI 10.1177/0271678x17732884
Pubmed ID
Authors
Abstract

Depending on the adequacy of collateral sources of blood flow, arterial stenosis or occlusion may lead to reduced perfusion pressure and ultimately reduced blood flow in the distal territory supplied by that vessel. There are two well-defined compensatory mechanisms to reduced pressure or flow - autoregulatory vasodilation and increased oxygen extraction fraction. Other changes, such as metabolic downregulation, are likely. The positive identification of autoregulatory vasodilation and increased oxygen extraction fraction in humans is an established risk factor for future ischemic stroke in some disease states such as atherosclerotic carotid stenosis and occlusion. The mechanisms by which ischemic stroke may occur are not clear, and may include an increased vulnerability to embolic events. The use of hemodynamic assessment to identify patients with occlusive vasculopathy at an increased risk for stroke is very appealing for several different patient populations, such as those with symptomatic intracranial atherosclerotic disease, moyamoya phenomenon, complete internal carotid artery occlusion, and asymptomatic cervical carotid artery stenosis. While there is very good data for stroke risk prediction in some of these groups, no intervention based on these tools has been proven effective yet. In this manuscript, we will review these topics above and identify areas for future research.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Professor 3 5%
Other 6 11%
Unknown 20 36%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Neuroscience 7 13%
Engineering 5 9%
Biochemistry, Genetics and Molecular Biology 1 2%
Physics and Astronomy 1 2%
Other 0 0%
Unknown 27 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 August 2019.
All research outputs
#20,436,495
of 25,988,468 outputs
Outputs from Journal of Cerebral Blood Flow & Metabolism
#1,579
of 1,656 outputs
Outputs of similar age
#241,664
of 328,927 outputs
Outputs of similar age from Journal of Cerebral Blood Flow & Metabolism
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,656 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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