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Prevention of Poststroke Mortality Using Problem-Solving Therapy or Escitalopram

Overview of attention for article published in American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, October 2016
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Article details
Title
Prevention of Poststroke Mortality Using Problem-Solving Therapy or Escitalopram
Published in
American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, October 2016
DOI 10.1016/j.jagp.2016.10.001
Pubmed ID
Authors
Abstract

This study re-examined patients from a 1-year randomized controlled double-blind trial of escitalopram, problem-solving therapy (PST), or placebo to prevent depression among patients less than 3 months after a stroke. The objective of the current study was to determine if preventive treatment would predict time to death over 8-10 years of follow-up. Based on the importance of depression in poststoke mortality and a previous study of this population at 18 months' follow-up showing that stopping escitalopram but not PST led to a significant increase in depression, the authors hypothesized that PST would be associated with the longest time to death. Of 129 eligible patients, 122 were contacted and 7 were lost to follow-up. Families and surviving patients were interviewed to determine current health status or the date and cause of death. Using the Weibull model of log time (years) to death, controlled for age, severity of physical illness, gender, severity of stroke, and history of depression after study entry, there was a significant independent effect of treatment. PST significantly and independently increased the time to mortality, whereas older age and major depression significantly and independently decreased the time to death. To the authors' knowledge, this is the first time a psychological antidepressant treatment administered for 1 year has been associated with increased survival among patients who have suffered a stroke.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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.
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Geographical breakdown

Geographical breakdown
Country Count As %
Spain 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 21 16%
Researcher 15 11%
Student > Bachelor 14 11%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 10 8%
Other 21 16%
Unknown 40 30%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 35 26%
Psychology 19 14%
Nursing and Health Professions 9 7%
Biochemistry, Genetics and Molecular Biology 6 5%
Neuroscience 5 4%
Other 10 8%
Unknown 49 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 May 2017.
All research outputs
#22,238,036
of 34,360,889 outputs
Outputs from American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry
#1,714
of 2,759 outputs
Outputs of similar age
#205,160
of 337,768 outputs
Outputs of similar age from American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry
#24
of 38 outputs
Altmetric has tracked 34,360,889 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 337,768 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.