Title |
A web-based normative calculator for the uniform data set (UDS) neuropsychological test battery
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Published in |
Alzheimer's Research & Therapy, November 2011
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DOI | 10.1186/alzrt94 |
Pubmed ID | |
Authors |
Steven D Shirk, Meghan B Mitchell, Lynn W Shaughnessy, Janet C Sherman, Joseph J Locascio, Sandra Weintraub, Alireza Atri |
Abstract |
With the recent publication of new criteria for the diagnosis of preclinical Alzheimer's disease (AD), there is a need for neuropsychological tools that take premorbid functioning into account in order to detect subtle cognitive decline. Using demographic adjustments is one method for increasing the sensitivity of commonly used measures. We sought to provide a useful online z-score calculator that yields estimates of percentile ranges and adjusts individual performance based on sex, age and/or education for each of the neuropsychological tests of the National Alzheimer's Coordinating Center Uniform Data Set (NACC, UDS). In addition, we aimed to provide an easily accessible method of creating norms for other clinical researchers for their own, unique data sets. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
New Zealand | 1 | <1% |
Spain | 1 | <1% |
Canada | 1 | <1% |
Unknown | 115 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 26 | 22% |
Student > Ph. D. Student | 22 | 19% |
Student > Master | 14 | 12% |
Student > Bachelor | 7 | 6% |
Student > Doctoral Student | 4 | 3% |
Other | 15 | 13% |
Unknown | 30 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 27 | 23% |
Medicine and Dentistry | 22 | 19% |
Neuroscience | 10 | 8% |
Agricultural and Biological Sciences | 5 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 2% |
Other | 14 | 12% |
Unknown | 38 | 32% |