Evidence map›Paper›PMID 42543910›Full record

ArticleBrain and behavior2026

IQCODE-Brief Version in Stroke Patients.

Mine Sezgin, Edis Hacılar, Sevda Özel-Yıldız, Ozan Dörtkol, Esme Ekizoğlu, Nilüfer Yeşilot

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Article in Brain and behavior, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mine SezginDepartment of Neurology, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.ORCID https://orcid.org/0000-0001-6525-0658
Edis HacılarDepartment of Neurology, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Sevda Özel-YıldızDepartment of Biostatistics, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Ozan DörtkolDepartment of Neurology, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Esme EkizoğluDepartment of Neurology, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Nilüfer YeşilotDepartment of Neurology, İstanbul Faculty of Medicine, İstanbul University, İstanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPost-stroke cognitive impairment is frequently seen after stroke. We aimed to examine the psychometric properties, factorial structure, and screening utility of the IQCODE brief version in stroke patients using an informant-based approach to cognitive impairment screening.

methodsPatients aged older than 18 years with ischemic or hemorrhagic stroke were included. Within one week of completing the MoCA test, each patient's informant (spouse, caregiver, etc.) was contacted by phone, and the IQCODE brief version was administered. Cronbach's alpha, test-retest analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) were performed to assess the reliability and construct validity of the IQCODE brief version.

resultsA total of 179 patients with stroke (mean age: 58.6 ± 13.7 years) were included, 18 (10%) of them had hemorrhagic stroke. The IQCODE brief version demonstrated excellent internal consistency (Cronbach's alpha = 0.94). Factor analysis suggested a preliminary four-factor structure, explaining 76.5% of the total variance. CFA confirmed a good model fit (RMSEA = 0.07, CFI = 0.973, TLI = 0.964). Review of the factor loadings resulted in the exclusion of three items from the initial model. ROC analysis for the 16-item version yielded an area under the curve (AUC) of 0.771 (95% CI, 0.70 - 0.84), with an optimal cut-off score of 48.5 (sensitivity: 72.4%; specificity: 71.1%). A refined 13-item version demonstrated improved specificity (76%) without compromising sensitivity.

conclusionsBoth the 16-item and the proposed 13-item IQCODE brief versions demonstrated promising preliminary psychometric properties, and they may serve as effective screening tools. Their feasibility for telephone administration and strong psychometric properties support their use in routine clinical practice and remote screening.

Indexed as

Cognitive DysfunctionNeuropsychological TestsStrokeAgedFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPsychometricsReproducibility of Resultscognitiondementia screeningIQCODE brief versionpost‐stroke cognitive impairmentstroke

Identifiers

PMID42543910
PMCPMC13430275

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