Normative Data Estimation in Neuropsychological Tests: A Systematic Review Article Swipe
YOU?
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· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/arclin/acad084
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.
Related Topics
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1093/arclin/acad084
- https://academic.oup.com/acn/advance-article-pdf/doi/10.1093/arclin/acad084/53253932/acad084.pdf
- OA Status
- hybrid
- Cited By
- 16
- References
- 110
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388588133
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388588133Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/arclin/acad084Digital Object Identifier
- Title
-
Normative Data Estimation in Neuropsychological Tests: A Systematic ReviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-10Full publication date if available
- Authors
-
Ana delCacho-Tena, Bryan R. Christ, Juan Carlos Arango‐Lasprilla, Paul B. Perrin, Diego Rivera, Laiene Olabarrieta‐LandaList of authors in order
- Landing page
-
https://doi.org/10.1093/arclin/acad084Publisher landing page
- PDF URL
-
https://academic.oup.com/acn/advance-article-pdf/doi/10.1093/arclin/acad084/53253932/acad084.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/acn/advance-article-pdf/doi/10.1093/arclin/acad084/53253932/acad084.pdfDirect OA link when available
- Concepts
-
Psychology, Bibliometrics, Guideline, Normative, Meta-regression, Neuropsychology, Inclusion (mineral), Systematic review, Test (biology), Statistics, Clinical psychology, MEDLINE, Meta-analysis, Computer science, Medicine, Cognition, Mathematics, Library science, Social psychology, Political science, Psychiatry, Internal medicine, Biology, Paleontology, Law, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
110Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Fluency | 134 |
| abstract_inverted_index.Methods | 26 |
| abstract_inverted_index.PubMed, | 40 |
| abstract_inverted_index.Results | 101 |
| abstract_inverted_index.address | 240 |
| abstract_inverted_index.between | 97 |
| abstract_inverted_index.examine | 81 |
| abstract_inverted_index.greater | 123 |
| abstract_inverted_index.growth, | 83 |
| abstract_inverted_index.hundred | 103 |
| abstract_inverted_index.impact, | 6 |
| abstract_inverted_index.journal | 85 |
| abstract_inverted_index.keyword | 94 |
| abstract_inverted_index.methods | 229 |
| abstract_inverted_index.results | 188 |
| abstract_inverted_index.spread. | 216 |
| abstract_inverted_index.studied | 113, 140 |
| abstract_inverted_index.studies | 73, 219 |
| abstract_inverted_index.support | 243 |
| abstract_inverted_index.whereas | 159 |
| abstract_inverted_index.written | 65 |
| abstract_inverted_index.(44.2%). | 172 |
| abstract_inverted_index.(49.5%). | 153 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Science. | 45 |
| abstract_inverted_index.Spanish. | 69 |
| abstract_inverted_index.analysis | 77 |
| abstract_inverted_index.approach | 162 |
| abstract_inverted_index.articles | 50, 105 |
| abstract_inverted_index.compared | 93 |
| abstract_inverted_index.country, | 63 |
| abstract_inverted_index.criteria | 47 |
| abstract_inverted_index.focusing | 127 |
| abstract_inverted_index.included | 48 |
| abstract_inverted_index.journals | 180 |
| abstract_inverted_index.networks | 96 |
| abstract_inverted_index.quantify | 3 |
| abstract_inverted_index.research | 19 |
| abstract_inverted_index.strategy | 149 |
| abstract_inverted_index.variable | 147 |
| abstract_inverted_index.Inclusion | 46 |
| abstract_inverted_index.Objective | 1 |
| abstract_inverted_index.VOSViewer | 92, 187 |
| abstract_inverted_index.analysis, | 59 |
| abstract_inverted_index.children. | 131 |
| abstract_inverted_index.conducted | 222 |
| abstract_inverted_index.criteria. | 110 |
| abstract_inverted_index.exclusion | 109 |
| abstract_inverted_index.included. | 75 |
| abstract_inverted_index.inclusion | 107 |
| abstract_inverted_index.normative | 10 |
| abstract_inverted_index.performed | 32 |
| abstract_inverted_index.presented | 168 |
| abstract_inverted_index.published | 60 |
| abstract_inverted_index.selection | 148 |
| abstract_inverted_index.ND-related | 196 |
| abstract_inverted_index.Pub-Psych, | 41 |
| abstract_inverted_index.approaches | 23, 155, 238 |
| abstract_inverted_index.distances, | 193 |
| abstract_inverted_index.education, | 117 |
| abstract_inverted_index.evolution, | 5 |
| abstract_inverted_index.frequently | 145 |
| abstract_inverted_index.importance | 8 |
| abstract_inverted_index.indicating | 214 |
| abstract_inverted_index.literature | 20, 34 |
| abstract_inverted_index.predictors | 114 |
| abstract_inverted_index.regression | 152, 237 |
| abstract_inverted_index.scientific | 49 |
| abstract_inverted_index.systematic | 29 |
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| abstract_inverted_index.Conclusions | 217 |
| abstract_inverted_index.alternative | 227 |
| abstract_inverted_index.calculation | 13 |
| abstract_inverted_index.connections | 209 |
| abstract_inverted_index.dispersion, | 86 |
| abstract_inverted_index.exponential | 175 |
| abstract_inverted_index.identifying | 15 |
| abstract_inverted_index.limitations | 241 |
| abstract_inverted_index.percentiles | 171 |
| abstract_inverted_index.statistical | 228 |
| abstract_inverted_index.traditional | 161 |
| abstract_inverted_index.2000–2022. | 100 |
| abstract_inverted_index.Bibliometric | 76 |
| abstract_inverted_index.children’s | 224 |
| abstract_inverted_index.improvement. | 25 |
| abstract_inverted_index.longitudinal | 72 |
| abstract_inverted_index.Bibliometrics | 173 |
| abstract_inverted_index.co-occurrence | 95 |
| abstract_inverted_index.productivity, | 84 |
| abstract_inverted_index.publications. | 178 |
| abstract_inverted_index.Cross-sectional | 70 |
| abstract_inverted_index.PRISMA-guideline | 28 |
| abstract_inverted_index.Regression-based | 154 |
| abstract_inverted_index.studies/projects | 126 |
| abstract_inverted_index.neuropsychological | 54 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 98 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.94985842 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |