Normative data estimation in neuropsychological tests: a systematic review

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dc.contributor.authorDel Cacho Tena, Ana María
dc.contributor.authorChrist, Bryan R.
dc.contributor.authorArango Lasprilla, Juan Carlos
dc.contributor.authorPerrin, Paul B.
dc.contributor.authorRivera, Diego
dc.contributor.authorOlabarrieta Landa, Laiene
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
dc.date.accessioned2024-09-30T08:23:44Z
dc.date.available2024-09-30T08:23:44Z
dc.date.issued2024
dc.date.updated2024-09-30T08:10:52Z
dc.description.abstractObjective: To quantify the evolution, impact, and importance of normative data (ND) calculation by identifying trends in the research literature and what approaches need improvement. Methods: A PRISMA-guideline systematic review was performed on literature from 2000 to 2022 in PubMed, Pub-Psych, and Web of Science. Inclusion criteria included scientific articles about ND in neuropsychological tests with clear data analysis, published in any country, and written in English or Spanish. Cross-sectional and longitudinal studies were included. Bibliometric analysis was used to examine the growth, productivity, journal dispersion, and impact of the topic. VOSViewer compared keyword co-occurrence networks between 1952¿1999 and 2000¿2022. Results: Four hundred twelve articles met inclusion and exclusion criteria. The most studied predictors were age, education, and sex. There were a greater number of studies/projects focusing on adults than children. The Verbal Fluency Test (12.7%) was the most studied test, and the most frequently used variable selection strategy was linear regression (49.5%). Regression-based approaches were widely used, whereas the traditional approach was still used. ND were presented mostly in percentiles (44.2%). Bibliometrics showed exponential growth in publications. Three journals (2.41%) were in the Core Zone. VOSViewer results showed small nodes, long distances, and four ND-related topics from 1952 to 1999, and there were larger nodes with short connections from 2000 to 2022, indicating topic spread. Conclusions: Future studies should be conducted on children¿s ND, and alternative statistical methods should be used over the widely used regression approaches to address limitations and support growth of the field.en
dc.description.sponsorshipOpen access funding provided by Universidad Pública de Navarra.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDel Cacho-Tena, A., Christ, B. R., Arango-Lasprilla, J. C., Perrin, P. B., Rivera, D., Olabarrieta-Landa, L. (2024) Normative data estimation in neuropsychological tests: a systematic review. Archives of Clinical Neuropsychology, 39(3), 383-398. https://doi.org/10.1093/arclin/acad084
dc.identifier.doi10.1093/arclin/acad084
dc.identifier.issn0887-6177
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/51862
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.ispartofArchives of Clinical Neuropsychology, 39(3), 383-398
dc.relation.publisherversionhttps://doi.org/10.1093/arclin/acad084
dc.rights© The Author(s) 2023. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectNeuropsychological testsen
dc.subjectNormative dataen
dc.subjectSystematic reviewen
dc.titleNormative data estimation in neuropsychological tests: a systematic reviewen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationd4963443-be15-4e9f-80d7-73a2a7d65067
relation.isAuthorOfPublicationc4afffcd-789f-49bd-984d-0604e901154b
relation.isAuthorOfPublicationf893b2b6-98c4-4fcc-b6e2-b80494f50a9c
relation.isAuthorOfPublication.latestForDiscoveryc4afffcd-789f-49bd-984d-0604e901154b

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