Evidence map›Paper›PMID 38018509›Full record

ArticleOtolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery2024

Neuroimaging Characteristics of Hearing Loss in the Mayo Clinic Study of Aging.

Karl R Khandalavala, John P Marinelli, Christine M Lohse, Scott A Przybelski, Ronald C Petersen, Maria Vassilaki, Prashanthi Vemuri, Matthew L Carlson

Open access · greenAbstract read
In one paragraph

Article in Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 2024. 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
0.9field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 at 2 institutions in 1 country.

Karl R KhandalavalaDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota, USA.
John P MarinelliDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Christine M LohseDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Scott A PrzybelskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Ronald C PetersenDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Maria VassilakiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Matthew L CarlsonDepartment of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Florida · US

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG041851NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

objectiveTo investigate the association between standard pure tone and speech audiometry with neuroimaging characteristics reflective of aging and dementia in older adults. STUDY

designProspective population-based study.

settingSingle tertiary care referral center.

methodsParticipants from the Mayo Clinic Study of aging 60 years old or older with normal cognition or mild cognitive impairment, baseline neuroimaging, and a behavioral audiogram associated with neuroimaging were eligible for study. Imaging modalities included structural MRI (sMRI) and fluid-attenuated inversion recovery MRI (FLAIR-MRI; N = 605), diffusion tensor imaging MRI (DTI-MRI; N = 444), and fluorodeoxyglucose-positron emission tomography (FDG-PET; N = 413). Multivariable logistic and linear regression models were used to evaluate associations with neuroimaging outcomes.

resultsMean (SD) pure tone average (PTA) was 33 (15) dB HL and mean (SD) word recognition score (WRS) was 91% (14). There were no significant associations between audiometric performance and cortical thinning assessed by sMRI. Each 10-dB increase in PTA was associated with increased likelihood of abnormal white-matter hyperintensity (WMH) from FLAIR-MRI (odds ratio 1.26, P = .02). From DTI-MRI, participants with <100% WRSs had significantly lower fractional anisotropy in the genu of the corpus callosum (parameter estimate [PE] -0.012, P = .008) compared to those with perfect WRSs. From FDG-PET, each 10% decrease in WRSs was associated with decreased uptake in the anterior cingulate cortex (PE -0.013, P = .001).

conclusionPoorer audiometric performance was not significantly associated with cortical thinning but was associated with white matter damage relevant to cerebrovascular disease (increased abnormal WMH, decreased corpus callosum diffusion). These neuroimaging results suggest a pathophysiologic link between hearing loss and cerebrovascular disease.

Indexed as

Cerebrovascular DisordersDeafnessHearing LossAgedAgingCerebral Cortical ThinningDiffusion Tensor ImagingFluorodeoxyglucose F18HumansMiddle AgedNeuroimagingProspective StudiesFluorodeoxyglucose F18dementiahearing lossmild cognitive impairmentneuroimaging

Identifiers

PMID38018509
PMCPMC10922536
OpenAlexW4389142078

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.