Evidence map›Paper›PMID 41348284›Full record

ArticleGeroScience2026

The immuno-neurological axis: association between autoimmune diseases and dementia risk.

Wanhyung Lee, Xiaoxue Ma, Seunghyun Lee

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wanhyung Lee *Department of Preventive Medicine, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
Xiaoxue Ma *Department of Pediatrics, The First Hospital of China Medical University, Shenyang, China.
Seunghyun LeeDepartment of Convergence Medicine, School of Medicine, Pusan National University, Yangsan, Republic of Korea. seunghyunlee0810@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia is a growing global public health concern, with an increasing number of individuals affected due to the aging population. Although chronic inflammation is implicated in cognitive impairment, studies on its association with autoimmune diseases, which are representative chronic inflammatory diseases, are lacking. This study aimed to investigate whether the onset of autoimmune diseases is associated with an increased risk of dementia or cognitive impairment. This study used data from the Korean National Health Insurance Service-Health Screening from 2002 to 2019, with 8,743,801 person-years. The risk of dementia according to the type of autoimmune disease was calculated using the Cox proportional hazards model. The status and risk of cognitive impairment, which were assessed using the Korean Dementia Screening Questionnaire-Prescreening related with autoimmune diseases also estimated. Among participants, 8.3% developed dementia. All autoimmune diseases significantly increased dementia risk (hazard ratio [HR] 1.32; 95% confidence interval [CI] 1.29-1.35), particularly Alzheimer's disease (HR 1.36; 95% CI, 1.32-1.40), vascular dementia (HR, 1.21; 95% CI, 1.12-1.30), and unspecified dementia (HR, 1.25; 95% CI, 1.18-1.33). Autoimmune diseases also increased the risk of positive dementia screening (odds ratio [OR], 1.18; 95% CI, 1.12-1.24), particularly connective tissue disorders (OR, 1.24; 95% CI, 1.15-1.34). This large-scale cohort study demonstrates a significant association between autoimmune diseases and increased risk of dementia and cognitive impairment. These findings underscore the potential importance of chronic inflammation in dementia pathogenesis and highlight the need for early cognitive screening and intervention strategies in patients with autoimmune diseases.

Indexed as

Autoimmune DiseasesCognitive DysfunctionDementiaAgedAged, 80 and overFemaleHumansMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk FactorsAutoimmune diseasesDementia in Alzheimer’s diseaseNational Health Insurance Service in KoreaVascular dementia, KDSQ-P

Identifiers

PMID41348284
PMCPMC13601431

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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.