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A parsimonious scoring and normative calculator for the Parkinson’s disease mild cognitive impairment battery

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F17%3A43915383" target="_blank" >RIV/00023752:_____/17:43915383 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216208:11110/17:10363424 RIV/00064165:_____/17:10363424

  • Výsledek na webu

    <a href="http://www.tandfonline.com/doi/citedby/10.1080/13854046.2017.1293161?scroll=top&needAccess=true" target="_blank" >http://www.tandfonline.com/doi/citedby/10.1080/13854046.2017.1293161?scroll=top&needAccess=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/13854046.2017.1293161" target="_blank" >10.1080/13854046.2017.1293161</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A parsimonious scoring and normative calculator for the Parkinson’s disease mild cognitive impairment battery

  • Popis výsledku v původním jazyce

    Objective: The aim of the present study was to provide a regression-based calculator that takes premorbid functioning into account to detect subtle cognitive decline, as is often present in pre-dementia states, especially mild cognitive impairment in Parkinson’s disease (PD-MCI). Method: We used demographic adjustments based on sex, age, and education of 699 normative participants that fulfilled exclusion criteria for ascertaining the diagnostic accuracy of the Movement Disorders Society PD-MCI battery at Level II. We examined the clinical validity of the battery on 36 PD patients. Results: An estimated z-score was calculated for any raw score based on different models that adjust for the demographic predictors of gender, age, and education, either concurrently, individually or without covariates. We provide a useful online z-score, SD, and percentile calculator that yields estimates of cognitive impairment based on normative sample for each of the ten neuropsychological tests and enables actuarial decision-making regarding its level and profile (number of domains impaired). We document the clinical utility and applicability of the calculator on a patient with PD-MCI and show the discriminative validity of all measures in the battery by comparing PD-MCI and PD without cognitive impairment with the highest area under the curve (.94) for Tower of London at −2 SD threshold. Conclusions: Our normative calculator introduces a practical web-based psychometric tool for the evaluation of PD-MCI status in clinical settings. We show the detection potential of each of ten measures included in the battery and delineate the diagnostic precision of the PD-MCI battery.

  • Název v anglickém jazyce

    A parsimonious scoring and normative calculator for the Parkinson’s disease mild cognitive impairment battery

  • Popis výsledku anglicky

    Objective: The aim of the present study was to provide a regression-based calculator that takes premorbid functioning into account to detect subtle cognitive decline, as is often present in pre-dementia states, especially mild cognitive impairment in Parkinson’s disease (PD-MCI). Method: We used demographic adjustments based on sex, age, and education of 699 normative participants that fulfilled exclusion criteria for ascertaining the diagnostic accuracy of the Movement Disorders Society PD-MCI battery at Level II. We examined the clinical validity of the battery on 36 PD patients. Results: An estimated z-score was calculated for any raw score based on different models that adjust for the demographic predictors of gender, age, and education, either concurrently, individually or without covariates. We provide a useful online z-score, SD, and percentile calculator that yields estimates of cognitive impairment based on normative sample for each of the ten neuropsychological tests and enables actuarial decision-making regarding its level and profile (number of domains impaired). We document the clinical utility and applicability of the calculator on a patient with PD-MCI and show the discriminative validity of all measures in the battery by comparing PD-MCI and PD without cognitive impairment with the highest area under the curve (.94) for Tower of London at −2 SD threshold. Conclusions: Our normative calculator introduces a practical web-based psychometric tool for the evaluation of PD-MCI status in clinical settings. We show the detection potential of each of ten measures included in the battery and delineate the diagnostic precision of the PD-MCI battery.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    50101 - Psychology (including human - machine relations)

Návaznosti výsledku

  • Projekt

    Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Clinical Neuropsychologist

  • ISSN

    1385-4046

  • e-ISSN

  • Svazek periodika

    31

  • Číslo periodika v rámci svazku

    6-7

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    17

  • Strana od-do

    1231-1247

  • Kód UT WoS článku

    000409318000018

  • EID výsledku v databázi Scopus

    2-s2.0-85014440702