Evidence map›Paper›PMID 41277240›Full record

ArticleJournal of the International Neuropsychological Society : JINS2025

Hidden risk: Latent cognitive profiles and structural brain age reveal vulnerability in midlife metabolic syndrome.

Isabelle Gallagher, Makenna B McGill, Janelle T Foret, Hirofumi Tanaka, David M Schnyer, Andreana P Haley

Abstract read
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In one paragraph

Article in Journal of the International Neuropsychological Society : JINS, 2025. 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

6 authors.

Isabelle GallagherDepartment of Psychology, The University of Texas at Austinhttps://ror.org/00hj54h04, Austin, TX, USA.ORCID https://orcid.org/0000-0003-1686-2134
Makenna B McGillDepartment of Psychology, The University of Texas at Austinhttps://ror.org/00hj54h04, Austin, TX, USA.ORCID https://orcid.org/0000-0003-4316-7719
Janelle T ForetDepartment of Psychology, The University of Texas at Austinhttps://ror.org/00hj54h04, Austin, TX, USA.
Hirofumi TanakaDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
David M SchnyerDepartment of Psychology, The University of Texas at Austinhttps://ror.org/00hj54h04, Austin, TX, USA.
Andreana P HaleyDepartment of Psychology, The University of Texas at Austinhttps://ror.org/00hj54h04, Austin, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetabolic syndrome (MetS) is linked to later-life cognitive decline and brain aging, but early detection of vulnerability in midlife remains challenging. This study applied two methods to detect subtle changes in midlife adults with MetS: (1) latent profile analysis (LPA) to identify cognitive performance patterns and (2) an MRI-derived brain-predicted age metric to assess structural brain aging.

methodParticipants were cognitively unimpaired, community-dwelling adults from prior studies on metabolic and brain health (

resultsMetS prevalence differed across cognitive profiles (χ

conclusionsCognitive profiles and brain-predicted age metrics identify early vulnerability in midlife MetS, underscoring the importance of early intervention.

Indexed as

adultagingcardiovascular diseasescognitive dysfunctionhumanstriglycerides

Identifiers

PMID41277240
PMCPMC13183333

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.