Evidence map›Paper›PMID 35455655›Full record

ArticleJournal of personalized medicine2022

An Item Response Theory Analysis of the Wisconsin Card Sorting Test in Normal Aging, Alzheimer's Disease and Parkinson's Disease: Neurophysiological Approach.

Juan Luis Sánchez-Rodríguez, Raúl Juárez-Vela, Iván Santolalla-Arnedo, Regina Ruiz de Viñaspre-Hernandez, Juan Luis Sánchez-González

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Juan Luis Sánchez-RodríguezDepartment of Basic Psychology, Psychobiology and Methodology, Faculty of Psychology, University of Salamanca, 37005 Salamanca, Spain.
Raúl Juárez-VelaDepartment of Nursing, Research Group in Care, GRUPAC, 26004 Logroño, La Rioja, Spain.ORCID 0000-0003-3597-2048
Iván Santolalla-ArnedoDepartment of Nursing, Research Group in Care, GRUPAC, 26004 Logroño, La Rioja, Spain.ORCID 0000-0001-6705-7122
Regina Ruiz de Viñaspre-HernandezDepartment of Nursing, Research Group in Care, GRUPAC, 26004 Logroño, La Rioja, Spain.ORCID 0000-0003-0345-8028
Juan Luis Sánchez-GonzálezDepartment of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, 37007 Salamanca, Spain.ORCID 0000-0002-4791-6513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Wisconsin Card Sorting Test (WCST) is widely used to assess executive function, specifically mental flexibility. Item Response Theory (IRT) has several advantages over classical test theory, including the invariance of the measure. This study aimed to apply IRT to study the psychometric properties of WCST in control subjects and patients with idiopathic Parkinson's disease (PD) and Alzheimer's disease (AD). The sample consisted of 86 controls, 77 Parkinson's disease subjects, and 155 AD subjects. The Rasch model was applied to binary data from the conversion to percentiles adjusted for age and schooling. The R program was used to calibrate the difficulty parameter. The characteristic curves of the items and the estimation of the difficulty parameter for each diagnostic group were obtained. WCST makes it possible to separate between different skill levels among the three diagnostic entities and its application may be useful for other neuropsychological tests. In conclusion, WCST has good clinical sensitivity and excellent discriminant validity in the groups under study, making it possible to separate them between different levels of ability or latent trait. Its application may be useful for other neuropsychological tests.

Indexed as

neuropsychologypsychometricsvalidation study

Identifiers

PMID35455655
PMCPMC9028972

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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.