Test the Best: Classification Accuracies of Four Cognitive Rating Scales for Parkinson's Disease Mild Cognitive Impairment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F20%3A10412704" target="_blank" >RIV/00216208:11110/20:10412704 - isvavai.cz</a>
Alternative codes found
RIV/00064203:_____/20:10412704 RIV/00064165:_____/20:10412704
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=17jZybvK8x" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=17jZybvK8x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/arclin/acaa039" target="_blank" >10.1093/arclin/acaa039</a>
Alternative languages
Result language
angličtina
Original language name
Test the Best: Classification Accuracies of Four Cognitive Rating Scales for Parkinson's Disease Mild Cognitive Impairment
Original language description
OBJECTIVE: A progressive cognitive impairment is one of the frequent non-motor symptoms during Parkinson's disease (PD) course. A short and valid screening tool is needed to detect an incipient cognitive deficit at the mild cognitive impairment stage in Parkinson's disease (PD-MCI). METHOD: The present study aims to evaluate the classification accuracies of four cognitive screenings: Montreal Cognitive Assessment (MoCA), Mattis Dementia Rating Scale second edition (DRS-2), Mini-Mental State Examination (MMSE) and Frontal Assessment Battery (FAB) in a cohort of PD patients (PD-MCI, n = 46; and Parkinson's disease with normal cognition, PD-NC, n = 95) and Controls (n = 66). All subjects underwent a standard neuropsychological battery as recommended by the International Parkinson and Movement Disorder Society and underwent all four screening tools. RESULTS: In the detection of PD-MCI versus PD-NC, the MoCA showed a sensitivity of 84% and a specificity of 66% with a screening cutoff score at <=25 points. The MoCA's AUC was 86% (95% CI 78.7-93.1). In the detection of PD-MCI versus Controls, the FAB displayed 84% sensitivity and 79% specificity with a cutoff <=16 points, to screen. The FAB's AUC was 87% (79.0-95.0). CONCLUSIONS: Our results show that the MoCA is the most discriminative tool for screening MCI in the PD population.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/NV19-04-00233" target="_blank" >NV19-04-00233: Clinical, Imaging and Biological predictors of effects associated with deep brain stimulation in Parkinson’s disease</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Archives of Clinical Neuropsychology
ISSN
0887-6177
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
7
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
1069-1077
UT code for WoS article
000595486600002
EID of the result in the Scopus database
2-s2.0-85096106408