Evidence map›Paper›PMID 42877823›Full record

ArticleDementia & neuropsychologia2026

Validation of the Shiraz Verbal Learning Test in elderly women, both with and without dementia.

Afsaneh Haghdel, Hassan Haghshenas, Sahar Zabihidan

Abstract read
In one paragraph

Article in Dementia & neuropsychologia, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Afsaneh HaghdelApadana Institute of Higher Education, Faculty of Humanities, Department of Psychology - Shiraz, Iran.ORCID https://orcid.org/0000-0002-3807-043X
Hassan HaghshenasApadana Institute of Higher Education, Faculty of Humanities, Department of Psychology - Shiraz, Iran.ORCID https://orcid.org/0000-0002-0973-7979
Sahar ZabihidanApadana Institute of Higher Education, Faculty of Humanities, Department of Psychology - Shiraz, Iran.ORCID https://orcid.org/0000-0001-6790-7836

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia is a major public health concern, and culturally adapted cognitive tools are essential for accurate screening among older adults. Objective: To evaluate the discriminant validity of the Shiraz Verbal Learning Test (SVLT) in differentiating verbal memory performance among elderly women with and without dementia in Shiraz, Iran. Methods: A cross-sectional study was conducted with 60 women aged 65 years or older, recruited between 2024 and 2025 by convenience sampling in Shiraz. The sample included 30 cognitively healthy participants and 30 with mild to moderate dementia diagnosed according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria and confirmed by a neurologist. Assessments included a demographic questionnaire, the Mini-Mental State Examination (MMSE), the 28-item General Health Questionnaire (GHQ-28), and the SVLT. Data were analyzed using multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA). Results: The dementia group scored significantly lower than the healthy group across all SVLT memory measures - learning, immediate recall, delayed free recall, delayed cued recall, and recognition (p<0.01) - demonstrating strong discriminant capacity. Conclusion: The SVLT demonstrated satisfactory psychometric validity and promising clinical usefulness in differentiating dementia-related verbal memory deficits among elderly Iranian women, indicating its potential as a culturally adapted tool for early cognitive screening in clinical and research contexts.

Indexed as

AgedDementiaEpisodic MemoryMemory and Learning TestsNeurocognitive Disorders

Identifiers

PMID42877823
PMCPMC13666334

What OpenQuestion holds

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Registered trials

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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.