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Del Cacho Tena, Ana María

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https://academica-e.unavarra.es/handle/2454/51865

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Del Cacho Tena

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Ana María

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Ciencias de la Salud

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0000-0003-0649-0226

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TA151053

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    PublicationOpen Access
    Normative data estimation in neuropsychological tests: a systematic review
    (Oxford University Press, 2024) Del Cacho Tena, Ana María; Christ, Bryan R.; Arango-Lasprilla, Juan Carlos; Perrin, Paul B.; Rivera, Diego; Olabarrieta Landa, Laiene; Ciencias de la Salud; Osasun Zientziak; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    Objective: 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.