Evidence map›Paper›PMID 41030607›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Variation in depression's impact on dementia risk by age in adults aged ≥75 years.

Yoo Jin Jang, Ju-Yeong Park, Se Yun Kim, Jin-Hyung Jung, Kyungdo Han, Se Chang Yoon, Hong Jin Jeon

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 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

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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.

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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

7 authors.

Yoo Jin JangDepartment of Psychiatry Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea.
Ju-Yeong ParkStatistics and Actuarial Science Soongsil University Seoul South Korea.
Se Yun KimDepartment of Digital Health SAIHST Sungkyunkwan University Seoul South Korea.
Jin-Hyung JungSamsung Biomedical Research Institute Sungkyunkwan University School of Medicine Suwon South Korea.
Kyungdo HanStatistics and Actuarial Science Soongsil University Seoul South Korea.
Se Chang YoonDepartment of Psychiatry Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea.
Hong Jin JeonDepartment of Psychiatry Samsung Medical Center Sungkyunkwan University School of Medicine Seoul South Korea.ORCID https://orcid.org/0000-0002-6126-542X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLate-life depression is linked to an increased dementia risk; however, whether this relationship varies with age remains unclear.

methodsWe analyzed data from 1,127,331 individuals aged ≥75 years without dementia from the Korean National Health Insurance database who had undergone health screening between 2012 and 2015. Participants were followed up for ≤10 years. Cox proportional hazards and Fine-Gray subdistribution models were used to estimate dementia risk.

resultsDepression was associated with increased dementia risk in both the old-old (75 to 84 years; hazard ratio [HR]: 1.338, 95% confidence interval [CI]: 1.325 to 1.351) and the oldest-old (≥85 years; HR: 1.111, 95% CI: 1.071 to 1.152), with attenuated effects at older ages. Cerebrovascular disease modified this association in the old-old, but no interaction was observed in the oldest-old. DISCUSSION: Depression's impact on dementia risk decreases with age. Cerebrovascular diseases may influence depression-associated neurodegenerative pathways, although this interaction diminishes in the oldest-old. Highlights: Depression increased dementia risk in adults aged 75 years and older.The strength of the association declined with advancing age.Effect modification by cerebrovascular disease was observed only in the 75 to 84 old group.Findings support age-related decline in depression's impact on dementia risk.

Indexed as

cerebrovascular diseasecompeting riskdementia risklate‐life depressionoldest‐old

Identifiers

PMID41030607
PMCPMC12477493

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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.