Evidence map›Paper›PMID 41559824›Full record

ArticleAlzheimer's research & therapy2026

Diagnostic performance of verbal fluency measures: a cross-sectional study in the stages of cognitive continuum.

Mihály Unoka, Dalida Borbála Berente-Kerestély, Melinda Becske, Andras Attila Horvath

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Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mihály UnokaFaculty of Medicine, Semmelweis University, Üllői út 26, Budapest, 1085, Hungary. unokamihaly@gmail.com.
Dalida Borbála Berente-KerestélyDepartment of Neurosurgery and Neurointervention, Semmelweis University, Budapest, Hungary.
Melinda BecskeNyírő Gyula National Institute of Psychiatry, and Addictology, Neurocognitive Research Centre, Budapest, Hungary.
Andras Attila HorvathNyírő Gyula National Institute of Psychiatry, and Addictology, Neurocognitive Research Centre, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVerbal fluency (VF) measures are sensitive markers of advanced cognitive decline; however, the utility of the discrepancy score remains underexplored in the early stages of cognitive decline, such as subjective cognitive decline (SCD). This study evaluated semantic fluency (SF) and phonemic fluency (PF), as well as discrepancy score sensitivity, in clinical populations with SCD, mild cognitive impairment (MCI), and dementia.

methodsIn this cross-sectional study, 193 older adults (72 healthy controls, 67 with SCD, 16 with MCI, and 38 with dementia) were consecutively recruited from the Nyírő Gyula National Institute of Psychiatry and Addictology, Hungary. Each participant underwent a comprehensive neurological interview and neuropsychological assessments. Semantic and phonemic fluency, along with their discrepancy, served as the primary outcome measures, defined as the number of correct words generated in one minute for each fluency type and the difference between them. Group differences were assessed using one-way ANCOVAs that controlled for age and education, and diagnostic classification performance was evaluated using a multinomial logistic regression model-based metric.

resultsRelative to healthy controls, SCD showed significantly lower SF scores (β = − 2.267, p = .009) but no difference in PF (p = .493). Both fluency types were reduced in MCI and dementia, with semantic declines being especially pronounced. Multinomial logistic regression model identified dementia most accurately using SF (balanced accuracy = 0.81) and SCD using the discrepancy score (balanced accuracy = 0.61), while MCI classification was poor, likely due to a small sample size. These results underscore the potential of SF and its discrepancy with PF for early detection and differentiation of cognitive decline.

conclusionsThis study demonstrates that individuals with SCD have deficits in semantic—but not phonemic—fluency, and that VF discrepancy scores detect SCD more effectively than semantic fluency alone. However, accuracy is only moderate and insufficient for use as a standalone clinical test.

Indexed as

Cognitive DysfunctionDementiaVerbal BehaviorAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsSemanticsMinor neuropsychological deficitsSemantic fluencySemantic memorySubjective cognitive declineVerbal fluencyVerbal fluency discrepancy

Identifiers

PMID41559824
PMCPMC12903526

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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.