Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081740%3A_____%2F23%3A00551231" target="_blank" >RIV/68081740:_____/23:00551231 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/23:00079778 RIV/47122099:_____/23:N0000003 RIV/00216208:11210/23:10436490 RIV/00216208:11130/23:10436490 and 4 more
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/13825585.2021.2022593?src=" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13825585.2021.2022593?src=</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/13825585.2021.2022593" target="_blank" >10.1080/13825585.2021.2022593</a>

Result language
angličtina
Original language name
Reducing misclassification of mild cognitive impairment based on base rate information from the uniform data set
Original language description
The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66–76% correct classification in the clinical sample and only 2–8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50101 - Psychology (including human - machine relations)

Project
<a href="/en/project/LQ1605" target="_blank" >LQ1605: Translational Medicine</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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