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High Degree of Heterogeneity in Alzheimer's Disease Progression Patterns

Overview of attention for article published in PLoS Computational Biology, November 2011
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Title
High Degree of Heterogeneity in Alzheimer's Disease Progression Patterns
Published in
PLoS Computational Biology, November 2011
DOI 10.1371/journal.pcbi.1002251
Pubmed ID
Authors

Natalia L. Komarova, Craig J. Thalhauser

Abstract

There have been several reports on the varying rates of progression among Alzheimer's Disease (AD) patients; however, there has been no quantitative study of the amount of heterogeneity in AD. Obtaining a reliable quantitative measure of AD progression rates and their variances among the patients for each stage of AD is essential for evaluating results of any clinical study. The Global Deterioration Scale (GDS) and Functional Assessment Staging procedure (FAST) characterize seven stages in the course of AD from normal aging to severe dementia. Each GDS/FAST stage has a published mean duration, but the variance is unknown. We use statistical analysis to reconstruct GDS/FAST stage durations in a cohort of 648 AD patients with an average follow-up time of 4.78 years. Calculations for GDS/FAST stages 4-6 reveal that the standard deviations for stage durations are comparable with their mean values, indicating the presence of large variations in the AD progression among patients. Such amount of heterogeneity in the course of progression of AD is consistent with the existence of several sub-groups of AD patients, which differ by their patterns of decline.

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Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Hong Kong 1 <1%
Portugal 1 <1%
Unknown 100 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 20 19%
Student > Bachelor 11 10%
Student > Master 10 10%
Student > Doctoral Student 8 8%
Other 14 13%
Unknown 16 15%
Readers by discipline Count As %
Neuroscience 22 21%
Agricultural and Biological Sciences 19 18%
Biochemistry, Genetics and Molecular Biology 10 10%
Medicine and Dentistry 10 10%
Psychology 6 6%
Other 21 20%
Unknown 17 16%