Evidence mapPaperPMID 41645115Full record

ArticleBMC public health2026

Associations between self-reported oral health and incident stroke: a prospective analysis of the UK Biobank.

Chang-Qing Sun, Hui-Min Liu, Qian-Yu Zhou, Meng-Ting Liu, Jia-Jun Chen, Peng Wang, Hua Ye, Qiang Zhang

Abstract read
In one paragraph

Article in BMC public health, 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
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

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

8 authors.

Chang-Qing Sun *High-Tech Development Zone of States, School of Nursing and Health, Zhengzhou University, NO. 101 Kexue Road, Zhengzhou City, 450001, People's Republic of China.
Hui-Min Liu *Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Qian-Yu ZhouDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou UniversityHigh-Tech Development Zone of States, NO. 100 Kexue Road, Zhengzhou City, 450001, People's Republic of China.
Meng-Ting LiuHigh-Tech Development Zone of States, School of Nursing and Health, Zhengzhou University, NO. 101 Kexue Road, Zhengzhou City, 450001, People's Republic of China.
Jia-Jun ChenHuman Resources Department, the First Affiliated Hospital of Zhengzhou University, NO.1 Longhu Middle Road, Jinshui District, Zhengzhou City, 450052, People's Republic of China.
Peng WangHigh-Tech Development Zone of States, School of Nursing and Health, Zhengzhou University, NO. 101 Kexue Road, Zhengzhou City, 450001, People's Republic of China.
Hua YeDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou UniversityHigh-Tech Development Zone of States, NO. 100 Kexue Road, Zhengzhou City, 450001, People's Republic of China.
Qiang ZhangHigh-Tech Development Zone of States, School of Nursing and Health, Zhengzhou University, NO. 101 Kexue Road, Zhengzhou City, 450001, People's Republic of China. qzhang25@zzu.edu.cn.

Funding

2024 Henan Province Graduate Education Reform and Quality Improvement Project YJS2024KC05Henan Provincial Natural Science Foundation 252300420531Henan Provincial Science and Technology Research Project 242102311135Natural Science Foundation of Henan Province 252300420531
6 · The paper itself

Abstract

background and purposeThis study aims to explore whether different types of oral conditions are associated with incident stroke risk. METHODS AND

resultsThis cohort study included 476,868 individuals without outcome events at baseline, multivariable models were constructed using Cox proportional hazard regression to assess the association between different oral conditions and the incidence of stroke, ischemic stroke (IS) and myocardial infarction (MI). Our fully adjusted model showed that individuals with painful gums [HRpainful gums: 1.31 (1.06, 1.63)], loose teeth [HRloose teeth: 1.45 (1.20, 1.77)] and dentures [HRdentures: 1.23 (1.12, 1.36)] have increased risk for stroke incidence.

conclusionsIndividuals with painful gums, loose teeth and dentures have increased risk for stroke, IS and MI incidence, this study helps to identify high-risk stroke participants.

Indexed as

Oral HealthStrokeAgedFemaleHumansIncidenceMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsProspective StudiesRisk FactorsSelf ReportUK BiobankUnited KingdomOral HealthProspective Cohort StudySelf-ReportStroke

Identifiers

PMID41645115
PMCPMC12973887

What Socratic 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 Socratic graph.