Evidence map›Paper›PMID 33287599›Full record

ArticleInternational journal of audiology2021

Predicting hearing aid use in adults: the Beaver Dam Offspring Study.

Lauren K Dillard, Amy L Cochran, Alex Pinto, Cynthia G Fowler, Mary E Fischer, Ted S Tweed, Karen J Cruickshanks

Abstract read
In one paragraph

Article in International journal of audiology, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Lauren K DillardDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-8631-1341
Amy L CochranDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Alex PintoDepartment of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Cynthia G FowlerDepartment of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA.
Mary E FischerDepartment of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Ted S TweedDepartment of Communication Sciences and Disorders, University of Wisconsin-Madison, Madison, WI, USA.
Karen J CruickshanksDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.

Funding

FAMILIAL AND BIRTH COHORT EFFECTS ON THE AGING SENSESR01AG021917 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CRUICKSHANKS, KAREN J · 2004 to 2018
$25.2M
NIA NIH HHS R01 AG021917
6 · The paper itself

Abstract

objectiveThe purpose of this study was to (i) develop a model that predicts hearing aid (HA) use and (ii) determine if model fit is improved by adding factors not typically collected in audiological evaluations.

designTwo models were created and evaluated. The "clinical" model used factors typically collected during audiologic clinical evaluations. The "expanded" model considered additional clinical, health and lifestyle factors to determine if the model fit could be improved (compared to clinical model). Models were created with least absolute shrinkage and selection operator (LASSO) logistic regression with 10-fold cross validation. Predictive ability was evaluated via receiver operating characteristic curves and concordance statistics (c-statistics). STUDY SAMPLE: This study included 275 participants from the Beaver Dam Offspring Study, a prospective longitudinal cohort study of aging, with a treatable level of hearing loss and no HA use at baseline.

resultsThe clinical and expanded models report predictors important for HA use. The c-statistics of the clinical (0.80) and expanded (0.79) models were not significantly different (

conclusionsSimilar predictive abilities of models suggest audiological evaluations perform well in predicting HA use.

Indexed as

Hearing AidsHearing LossAdultAnimalsHumansLongitudinal StudiesProspective StudiesRodentiaDemographics/epidemiologyhearing aidshearing losspredictive model

Identifiers

PMID33287599
PMCPMC8180532

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.