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Rates of Decline in Alzheimer Disease Decrease with Age

Overview of attention for article published in PLOS ONE, August 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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14 X users
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3 Facebook pages

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145 Mendeley
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Title
Rates of Decline in Alzheimer Disease Decrease with Age
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042325
Pubmed ID
Authors

Dominic Holland, Rahul S. Desikan, Anders M. Dale, Linda K. McEvoy

Abstract

Age is the strongest risk factor for sporadic Alzheimer disease (AD), yet the effects of age on rates of clinical decline and brain atrophy in AD have been largely unexplored. Here, we examined longitudinal rates of change as a function of baseline age for measures of clinical decline and structural MRI-based regional brain atrophy, in cohorts of AD, mild cognitive impairment (MCI), and cognitively healthy (HC) individuals aged 65 to 90 years (total n = 723). The effect of age was modeled using mixed effects linear regression. There was pronounced reduction in rates of clinical decline and atrophy with age for AD and MCI individuals, whereas HCs showed increased rates of clinical decline and atrophy with age. This resulted in convergence in rates of change for HCs and patients with advancing age for several measures. Baseline cerebrospinal fluid densities of AD-relevant proteins, Aβ(1-42), tau, and phospho-tau(181p) (ptau), showed a similar pattern of convergence with advanced age across cohorts, particularly for ptau. In contrast, baseline clinical measures did not differ by age, indicating uniformity of clinical severity at baseline. These results imply that the phenotypic expression of AD is relatively mild in individuals older than approximately 85 years, and this may affect the ability to distinguish AD from normal aging in the very old. Our findings show that inclusion of older individuals in clinical trials will substantially reduce the power to detect disease-modifying therapeutic effects, leading to dramatic increases in required clinical trial sample sizes with age of study sample.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 2 1%
United States 2 1%
United Kingdom 2 1%
France 1 <1%
Netherlands 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Researcher 25 17%
Student > Master 16 11%
Other 15 10%
Student > Doctoral Student 9 6%
Other 26 18%
Unknown 26 18%
Readers by discipline Count As %
Medicine and Dentistry 32 22%
Psychology 18 12%
Neuroscience 17 12%
Agricultural and Biological Sciences 12 8%
Engineering 6 4%
Other 24 17%
Unknown 36 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 14 November 2012.
All research outputs
#3,027,783
of 22,673,450 outputs
Outputs from PLOS ONE
#39,713
of 193,525 outputs
Outputs of similar age
#21,032
of 164,813 outputs
Outputs of similar age from PLOS ONE
#680
of 4,082 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 79% 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 164,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4,082 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.