Evidence map›Paper›PMID 41578204›Full record

ArticleBMC neurology2026

Asymmetric hearing loss and the risk of stroke: evidence from a longitudinal cohort study.

Yajing Wu, Kaixuan Tang, Jiaxin Fang, Shaojie Li

Abstract read
In one paragraph

Article in BMC neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yajing WuDepartment of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Kaixuan TangTongren Hospital Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiaxin FangSchool of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Shaojie LiSchool of Public Health, Peking University, Beijing, China. li_shaojie@hsc.pku.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGrowing evidence suggests an association between hearing loss and cerebrovascular outcomes. However, the contribution of hearing asymmetry, which may reflect unilateral auditory vulnerability or localized cochlear and neural injury, has received limited attention. This study examined the association between asymmetric hearing loss and incident stroke in a national sample of older adults and evaluated whether this association varied by sex.

methodsWe conducted a prospective cohort study using data from Waves 13 to 15 of the US Health and Retirement Study. The analytic sample included 11,696 adults aged fifty years or older who completed bilateral pure tone audiometry. Hearing status was categorized into normal hearing, symmetrical hearing loss, and asymmetric hearing loss. Incident stroke within two years was identified from self or proxy reported physician diagnoses. Multivariable logistic regression models were used to estimate associations, adjusting for demographic characteristics, socioeconomic factors, lifestyle variables, sensory impairments, and health conditions. Sex stratified analyses and two sensitivity analyses were performed to assess robustness.

resultsOver the two-year follow up period, 182 stroke events were reported. Asymmetric hearing loss was associated with a higher risk of incident stroke compared with normal hearing in fully adjusted models (adjusted OR = 1.69, 95%CI = 1.03 ~ 2.78). Symmetrical hearing loss was not significantly associated with stroke risk after adjustment. In sex stratified models, the association between asymmetric hearing loss and stroke persisted in men, although the confidence interval was wide due to smaller subgroup sample size. No significant associations were observed among women. Sensitivity analyses that further adjusted for self-rated hearing or applied inverse probability weighting produced estimates that were consistent with the primary findings.

conclusionsAsymmetric hearing loss was associated with incident stroke after adjustment for demographic and health related factors. These findings suggest that hearing asymmetry may reflect vascular vulnerability in older adults and may be a useful indicator in risk assessment strategies.

Indexed as

Hearing LossStrokeAgedAged, 80 and overAudiometry, Pure-ToneAuditory AcuityCohort StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk FactorsAudiometryCohortHearing asymmetryHearing lossSex differencesStroke

Identifiers

PMID41578204
PMCPMC12910997

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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.