Evidence map›Paper›PMID 40084028›Full record

ArticleHeliyon2025

Domain-specific longitudinal associations between brain volume, white matter lesions, and cognitive function changes.

Woo-Jin Lee, Keun-Hwa Jung, Kyung-Il Park, Kon Chu, Sang Kun Lee

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Woo-Jin LeeDepartment of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam-si, Gyeonggi-do, South Korea.
Keun-Hwa JungDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Kyung-Il ParkDepartment of Neurology, Seoul National University Healthcare System Gangnam Center, Seoul, South Korea.
Kon ChuDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Sang Kun LeeDepartment of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We investigated the domain-specific patterns of the association of segmental brain volume and white matter signal abnormality (WMSA) volume with longitudinal changes in cognitive function. Methods: Participants from an institutional health check-up program who were aged >50 years, did not have a confirmed central nervous system disorder and underwent baseline and follow-up evaluations for cognitive function and brain MRI with an interval of at least 1 year were included. Cognitive function was assessed using the Consortium to Establish a Registry for Alzheimer's Disease-Korean version (CERAD-K) assessment battery. Performance changes in each cognitive domain were analyzed for associations with serial data of segmental brain volume and WMSA volume. Results: A total of 190 subjects were included (115 [60.1 %] females, mean age 68.2 ± 8.2 years [range 50-82 years]). Declines in global cognition were associated with lower baseline ( Conclusions: The segmental brain volume and the WMSA volume parameters have domain-specific associations with longitudinal cognitive changes, which might reflect the different dependence on the brain reserve according to the cognitive domains.

Indexed as

Brain agingCognitive function domainsSegmental brain volumeWhite matter signal abnormality

Identifiers

PMID40084028
PMCPMC11904571

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.