Evidence map›Paper›PMID 42255962›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Refining cognitive dispersion metrics for brain-behavior prediction in aging and mild cognitive impairment.

Truc Tran Thanh Nguyen, Yu-Ling Chang

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Truc Tran Thanh NguyenTaiwan International Graduate Program in Interdisciplinary Neuroscience National Taiwan University and Academia Sinica Taipei Taiwan.ORCID https://orcid.org/0000-0002-7206-2521
Yu-Ling ChangDepartment of Psychology, College of Science National Taiwan University Taipei Taiwan.ORCID https://orcid.org/0000-0003-2851-3652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study addresses three key issues in the standardization of cognitive dispersion: its operationalizations though intra-individual standard deviation (ISD) versus coefficient of variation (CoV), its reliability, and its dependence on the size of the neuropsychological battery.

methodsCognitive dispersion was calculated in 318 older adults (M

resultsWe found that ISD, modeled jointly with mean cognitive performance, was a stronger predictor of entorhinal cortex thickness than CoV, which obscured critical mean-dispersion interactions. DISCUSSION: These findings suggest that ISD, rather than CoV, offers a more valid quantification of cognitive dispersion, and that dispersion measures are most informative when derived from adequately comprehensive neuropsychological batteries.

Indexed as

cognitive agingcognitive dispersionintra‐individual variabilitymild cognitive impairmentneuropsychological tests

Identifiers

PMID42255962
PMCPMC13239138

What OpenQuestion holds

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Registered trials

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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.