Evidence map›Paper›PMID 35581425›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

A rank subdivision of equivalent score for enhancing neuropsychological test norms.

Alessio Facchin, Ezia Rizzi, Michela Vezzoli

Abstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. An updated italian normative data for a short version of the stroop colour word test.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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  3. Gerstmann's Syndrome and Limb Apraxia: A Single Case Study.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Improving equivalent scores for clinical neuropsychology: a new method for regression model selection.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  9. Regression-based normative data for Corsi Span and Supraspan learning and recall among Italian adults.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  10. Article
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  12. Teleneuropsychology: normative data for the assessment of memory in online settings.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
  13. 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

3 authors.

Alessio FacchinDepartment of Psychology, University of Milano Bicocca, Piazza dell'ateneo nuovo 1, Milan, Italy. alessio.facchin@unimib.it.ORCID http://orcid.org/0000-0002-0604-5029
Ezia RizziDepartment of Psychology, University of Milano Bicocca, Piazza dell'ateneo nuovo 1, Milan, Italy.
Michela VezzoliDepartment of Psychology, University of Milano Bicocca, Piazza dell'ateneo nuovo 1, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeuropsychological assessment of cognitive functioning is a crucial part of clinical care: diagnosis, treatment planning, treatment evaluation, research, and prediction of long-term outcomes. The Equivalent Score (ES) method is used to score numerous neuropsychological tests. The ES0 and the ES4 are defined respectively by the outer tolerance limit and the median. The intermediate ESs are commonly calculated using a z-score approach even when the distribution of neuropsychological data is typically non-parametric. To calculate more accurate ESs, we propose that the intermediate ESs need to be calculated based on a non-parametric rank subdivision of the distribution of the adjusted scores. MATERIAL AND

methodsWe make three simulations to explain the differences between the classical z-score approach, the rank-based approach, and the direct subdivision of the dependent variable.

resultsThe results show that the rank procedure permits dividing the region between ES0 and ES4 into three areas with the same density. The z-score procedure is quite similar to the direct subdivision of the dependent variable and different from the rank subdivision.

conclusionsBy subdividing intermediate ESs using the rank-subdivision, neuropsychological tests can be scored more accurately, also considering that the two essential points for diagnosis (ES = 0 and ES = 4) remain the same. Future normative data definition should consider the best procedure for scoring with ES.

Indexed as

CognitionHumansNeuropsychological TestsClassificationNeuropsychological testsNonparametricPsychometricsStatistics

Identifiers

PMID35581425
PMCPMC9385822

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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.