Evidence map›Paper›PMID 39108220›Full record

ArticleAge and ageing2024

Osteoarthritis, osteoarthritis treatment and risk of incident dementia: a prospective cohort study based on UK Biobank.

Rong Guo, Ya-Nan Ou, Li-Yun Ma, Lian Tang, Liu Yang, Jian-Feng Feng, Wei Cheng, Lan Tan, Jin-Tai Yu

Abstract read
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Impact of Monthly Community Follow-Ups in Knee Osteoarthritis Management for Elderly Patients.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Trial
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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

9 authors.

Rong GuoDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ya-Nan OuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Li-Yun MaDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Lian TangDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Liu YangDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
Jian-Feng FengInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Wei ChengDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Jin-Tai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, Shanghai, China.ORCID 0000-0002-2532-383X

Funding

Excellence 2025 Talent Cultivation Program at Fudan University 3030277001National Natural Science Foundation of China 82071201Research Start-up Fund of Hua Shan Hospital 2022QD002Science and Technology Innovation 2030 Major Projects 2022ZD0211600Shanghai Municipal Science and Technology Major Project 2018SHZDZX01State Key Laboratory of Neurobiology and Frontiers Center for Brain Science of Ministry of Education, Fudan UniversityZHANG JIANG LAB, Tian Qiao and Chrissy Chen Institute, Shanghai Rising-Star Program 21QA1408700
6 · The paper itself

Abstract

backgroundWe aimed to investigate the association between OA and treatment with dementia risk and structural brain abnormalities.

methodsWe recruited a total of 466,460 individuals from the UK Biobank to investigate the impact of OA on the incidence of dementia. Among the total population, there were 63,081 participants diagnosed with OA. We subsequently categorised the OA patients into medication and surgery groups based on treatment routes. Cox regression models explored the associations between OA/OA treatment and dementia risk, with the results represented as hazard ratios (HRs) and 95% confidence intervals (95% CI). Linear regression models assessed the associations of OA/OA therapy with alterations in cortical structure.

resultsDuring an average of 11.90 (± 1.01) years of follow-up, 5,627 individuals were diagnosed with all-cause dementia (ACD), including 2,438 AD (Alzheimer's disease), and 1,312 VaD (vascular dementia) cases. Results revealed that OA was associated with the elevated risk of ACD (HR: 1.116; 95% CI: 1.039-1.199) and AD (HR: 1.127; 95% CI: 1.013-1.254). OA therapy lowered the risk of dementia in both medication group (HR: 0.746; 95% CI: 0.652-0.854) and surgery group (HR: 0.841; 95% CI: 0.736-0.960). OA was negatively associated with cortical area, especially precentral, postcentral and temporal regions.

conclusionsOsteoarthritis increased the likelihood of developing dementia, and had an association with regional brain atrophy. OA treatment lowered the dementia risk. OA is a promising modifiable risk factor for dementia.

Indexed as

DementiaOsteoarthritisAgedAlzheimer DiseaseDementia, VascularFemaleHumansIncidenceLinear ModelsMagnetic Resonance ImagingMaleMiddle AgedProportional Hazards ModelsProspective StudiesProtective FactorsRisk Assessmentbrain structuredementiaolder peopleosteoarthritisosteoarthritis treatment

Identifiers

PMID39108220
PMCPMC11303829

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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.