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Normative Data Estimation in Neuropsychological Tests: A Systematic Review.
Archives of Clinical Neuropsychology ( IF 2.6 ) Pub Date : 2023-11-10 , DOI: 10.1093/arclin/acad084
Ana delCacho-Tena 1 , Bryan R Christ 2 , Juan Carlos Arango-Lasprilla 3 , Paul B Perrin 2 , Diego Rivera 1, 4 , Laiene Olabarrieta-Landa 1, 4
Affiliation  

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.

中文翻译:

神经心理学测试中的规范数据估计:系统回顾。

目标 通过确定研究文献中的趋势以及需要改进的方法,量化规范数据 (ND) 计算的演变、影响和重要性。方法 对 PubMed、Pub-Psych 和 Web of Science 2000 年至 2022 年的文献进行 PRISMA 指南系统评价。纳入标准包括神经心理学测试中有关 ND 的科学文章,具有清晰的数据分析,在任何国家发表,并以英语或西班牙语撰写。包括横断面和纵向研究。文献计量分析用于检查该主题的增长、生产力、期刊分散度和影响力。VOSViewer 比较了 1952-1999 年和 2000-2022 年之间的关键词共现网络。结果 412 篇文章符合纳入和排除标准。研究最多的预测因素是年龄、教育程度和性别。针对成人的研究/项目数量多于针对儿童的研究/项目。语言流畅性测试(12.7%)是研究最多的测试,最常用的变量选择策略是线性回归(49.5%)。基于回归的方法被广泛使用,而传统方法仍然被使用。ND 主要以百分位数表示(44.2%)。文献计量学显示出版物呈指数增长。3 种期刊(2.41%)位于核心区。VOSViewer结果显示,从1952年到1999年,节点小,距离长,有四个与ND相关的主题,而从2000年到2022年,节点较大,连接短,表明主题传播。结论 未来的研究应该针对儿童 ND 进行,并且应该使用替代的统计方法来替代广泛使用的回归方法,以解决局限性并支持该领域的发展。
更新日期:2023-11-10
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