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Memory Alteration Test to Detect Amnestic Mild Cognitive Impairment and Early Alzheimer’s Dementia in Population with Low Educational Level

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2017
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Title
Memory Alteration Test to Detect Amnestic Mild Cognitive Impairment and Early Alzheimer’s Dementia in Population with Low Educational Level
Published in
Frontiers in Aging Neuroscience, August 2017
DOI 10.3389/fnagi.2017.00278
Pubmed ID
Authors

Nilton Custodio, David Lira, Eder Herrera-Perez, Rosa Montesinos, Sheila Castro-Suarez, José Cuenca-Alfaro, Lucía Valeriano-Lorenzo

Abstract

Background/Aims: Short tests to early detection of the cognitive impairment are necessary in primary care setting, particularly in populations with low educational level. The aim of this study was to assess the performance of Memory Alteration Test (M@T) to discriminate controls, patients with amnestic Mild Cognitive Impairment (aMCI) and patients with early Alzheimer's Dementia (AD) in a sample of individuals with low level of education. Methods: Cross-sectional study to assess the performance of the M@T (study test), compared to the neuropsychological evaluation (gold standard test) scores in 247 elderly subjects with low education level from Lima-Peru. The cognitive evaluation included three sequential stages: (1) screening (to detect cases with cognitive impairment); (2) nosological diagnosis (to determinate specific disease); and (3) classification (to differentiate disease subtypes). The subjects with negative results for all stages were considered as cognitively normal (controls). The test performance was assessed by means of area under the receiver operating characteristic (ROC) curve. We calculated validity measures (sensitivity, specificity and correctly classified percentage), the internal consistency (Cronbach's alpha coefficient), and concurrent validity (Pearson's ratio coefficient between the M@T and Clinical Dementia Rating (CDR) scores). Results: The Cronbach's alpha coefficient was 0.79 and Pearson's ratio coefficient was 0.79 (p < 0.01). The AUC of M@T to discriminate between early AD and aMCI was 99.60% (sensitivity = 100.00%, specificity = 97.53% and correctly classified = 98.41%) and to discriminate between aMCI and controls was 99.56% (sensitivity = 99.17%, specificity = 91.11%, and correctly classified = 96.99%). Conclusions: The M@T is a short test with a good performance to discriminate controls, aMCI and early AD in individuals with low level of education from urban settings.

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The data shown below were collected from the profiles of 2 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 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 20%
Other 8 10%
Researcher 8 10%
Student > Master 7 9%
Student > Doctoral Student 5 6%
Other 18 22%
Unknown 19 23%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Neuroscience 10 12%
Psychology 10 12%
Nursing and Health Professions 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 9 11%
Unknown 24 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 August 2017.
All research outputs
#15,130,016
of 23,458,084 outputs
Outputs from Frontiers in Aging Neuroscience
#3,462
of 4,922 outputs
Outputs of similar age
#187,381
of 318,236 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#72
of 106 outputs
Altmetric has tracked 23,458,084 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,922 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one is in the 29th percentile – i.e., 29% 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 318,236 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.