Evidence map›Paper›PMID 40442633›Full record

ArticleBMC neurology2025

A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.

Nazuk Yusup, Altunsa Rahmat, Hongyan Li

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Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Nazuk YusupDepartment of Neurology, People's Hospital of Xinjiang Uyghur Autonomous Region, Xinjiang Clinical Research Center for Stroke and Neurological Rare Disease, Xinjiang National Center for Cognitive Disorders, Urumqi, 830001, China.
Altunsa RahmatDepartment of Neurology, People's Hospital of Xinjiang Uyghur Autonomous Region, Xinjiang Clinical Research Center for Stroke and Neurological Rare Disease, Xinjiang National Center for Cognitive Disorders, Urumqi, 830001, China.
Hongyan LiDepartment of Neurology, People's Hospital of Xinjiang Uyghur Autonomous Region, Xinjiang Clinical Research Center for Stroke and Neurological Rare Disease, Xinjiang National Center for Cognitive Disorders, Urumqi, 830001, China. 359437879@qq.com.ORCID http://orcid.org/0000-0001-8534-5152

Funding

People's Hospital of Xinjiang 20200307
6 · The paper itself

Abstract

introductionTechnological advances and artificial intelligence now make it feasible to administer cognitive assessments on touch-screen devices. The aim of this study is to develop a Uyghur version of the NUCOG cognitive screening application and evaluate its reliability, validity, and optimal cutoff scores among Uyghur people with cognitive impairment.

methodsThe English version of the NUCOG app was translated and adapted into the Uyghur version (NUCOG-U). A total of 250 Uyghur people aged 55-80, including 90 normal controls, 91 patients with mild cognitive impairment (MCI), and 69 dementia patients, were randomly selected and administered with NUCOG, MoCA-U, Mini-Mental State Examination (MMSE), and other neuropsychological batteries. ROC curves were generated to determine the optimal cutoff values.

resultsNUCOG-U version showed high internal consistency (Cronbach's α = 0. 826), inter-rater reliability (ICC = 0.999), and test - retest reliability (r = 0.998, p < 0.001). NUCOG scores were significantly correlated with those of MoCA-U (r = 0.896, p < 0.001) and MMSE(r = 0.899, p < 0.001). NUCOG scores were significantly different among the three groups (p < 0.001). The optimal cutoff value for MCI was 80.5, with a sensitivity of 100% and specificity of 73%, and 70 for dementia, with a sensitivity of 94.1% and specificity of 100%.

conclusionThe NUCOG-U shows high reliability and validity and is suitable for screening cognitive function in the elderly Uyghur population. The optimal cutoff scores to detect mild cognitive impairment and dementia in the Uyghur people are 80.5 and 70, respectively.

Indexed as

Cognitive DysfunctionDementiaNeuropsychological TestsAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedReproducibility of ResultsROC CurveCognitive assessmentCognitive impairmentCognitive screening testReliabilityValidity

Identifiers

PMID40442633
PMCPMC12121169

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.