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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&apos;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&apos;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&apos;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 &lt;=25 points. The MoCA&apos;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 &lt;=16 points, to screen. The FAB&apos;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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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