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Delirium in acute stroke: screening tools, incidence rates and predictors: a systematic review

Overview of attention for article published in Journal of Neurology, January 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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Citations

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Title
Delirium in acute stroke: screening tools, incidence rates and predictors: a systematic review
Published in
Journal of Neurology, January 2012
DOI 10.1007/s00415-011-6383-4
Pubmed ID
Authors

G. Carin-Levy, G. E. Mead, K. Nicol, R. Rush, F. van Wijck

Abstract

Delirium is a common complication in acute stroke yet there is uncertainty regarding how best to screen for and diagnose delirium after stroke. We sought to establish how delirium after stroke is identified, its incidence rates and factors predicting its development. We conducted a systematic review of studies investigating delirium in acute stroke. We searched The Cochrane Collaboration, MEDLINE, EMBASE, CINHAL, PsychINFO, Web of Science, British Nursing Index, PEDro and OT Seeker in October 2010. A total of 3,127 citations were screened, full text of 60 titles and abstracts were read, of which 20 studies published between 1984 and 2010 were included in this review. The methods most commonly used to identify delirium were generic assessment tools such as the Delirium Rating Scale (n = 5) or the Confusion Assessment Method (n = 2) or both (n = 2). The incidence of delirium in acute stroke ranged from 2.3-66%, with our meta-analysis random effects approach placing the rate at 26% (95% CI 19-33%). Of the 11 studies reporting risk factors for delirium, increased age, aphasia, neglect or dysphagia, visual disturbance and elevated cortisol levels were associated with the development of delirium in at least one study. The outcomes associated with the condition are increased morbidity and mortality. Delirium is found in around 26% of stroke patients. Difference in diagnostic and screening procedures could explain the wide variation in frequency of delirium. There are a number of factors that may predict the development of the condition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 41 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Russia 1 <1%
Brazil 1 <1%
Unknown 129 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 24 18%
Student > Master 17 13%
Student > Bachelor 14 11%
Researcher 13 10%
Other 8 6%
Other 18 14%
Unknown 39 29%
Readers by discipline Count As %
Medicine and Dentistry 32 24%
Nursing and Health Professions 30 23%
Neuroscience 11 8%
Psychology 6 5%
Agricultural and Biological Sciences 2 2%
Other 8 6%
Unknown 44 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 24 October 2018.
All research outputs
#1,487,002
of 25,402,889 outputs
Outputs from Journal of Neurology
#198
of 4,965 outputs
Outputs of similar age
#9,698
of 249,014 outputs
Outputs of similar age from Journal of Neurology
#1
of 44 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,965 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 249,014 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.