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Title
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Brief cognitive screening instruments for early detection of Alzheimer's disease : a systematic review
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Author
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Abstract
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| Objectives The objective of this systematic review was (1) to give an overview of the available short screening instruments for the early detection of Alzheimers disease (AD) and (2) to review the psychometric properties of these instruments. Methods First, a systematic search of titles and abstracts of PubMed and Web of Science was conducted between February and July 2015 and updated in April 2016 and May 2018. Only papers written in English or Dutch were considered. All full-text papers about cognitive screening instruments for the early detection of AD were included, resulting in the identification of 38 pencil and paper tests and 12 computer tests. In a second step, the psychometric quality of these instruments was evaluated. Therefore, the same databases were searched again to identify papers that described the psychometric properties of the instruments meanwhile applying diagnostic criteria for the diagnostic groups included. Results Out of 1454 papers, 96 clearly discussed the psychometric properties of the instruments. Eighty-nine papers discussed pencil and paper tests of which 80 were validated in a memory clinic setting. Based on the number of studies (31 articles) and the sensitivity (84%) and specificity (74%) values, the Montreal Cognitive Assessment (MoCA) seems to be a promising (pencil and paper) screening test for memory clinic testing as well as for population screening. Regarding computer tests, validation studies were only available for 7 out of 12 tests. Conclusions A large number of screening tests for AD are available. However, most tests are only validated in a memory clinic setting and description of the psychometric properties of the instruments is limited. Especially, computer tests require further research. The MoCA is a promising instrument, but the specificity to detect early AD is rather low. |
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Language
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English
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Source (journal)
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Alzheimer's research & therapy
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Publication
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London
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Bmc
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2019
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ISSN
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1758-9193
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DOI
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10.1186/S13195-019-0474-3
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Volume/pages
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11
(2019)
, 14 p.
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Article Reference
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11:21
21
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ISI
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000460012800001
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Pubmed ID
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30819244
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Medium
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E-only publicatie
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Full text (Publisher's DOI)
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Full text (open access)
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