Evidence map›Paper›PMID 37604867›Full record

ArticleScientific reports2023

A data-driven approach to identify a rapid screener for auditory processing disorder testing referrals in adults.

Victoria E Cancel, Jacie R McHaney, Virginia Milne, Catherine Palmer, Aravindakshan Parthasarathy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Victoria E Cancel *Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 5060A Forbes Tower, Pittsburgh, PA, 15260, USA.
Jacie R McHaney *Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 5060A Forbes Tower, Pittsburgh, PA, 15260, USA.
Virginia MilneDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 5060A Forbes Tower, Pittsburgh, PA, 15260, USA.
Catherine PalmerDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 5060A Forbes Tower, Pittsburgh, PA, 15260, USA.
Aravindakshan ParthasarathyDepartment of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, 5060A Forbes Tower, Pittsburgh, PA, 15260, USA. Aravind_Partha@pitt.edu.
University of Pittsburgh · USUniversity of Pittsburgh Medical Center · USNorthwestern University · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Training in Auditory and Vestibular NeuroscienceT32DC011499 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Karl Kandler, BILL J YATES · 2011 to 2026
$3.0M
NCATS NIH HHS UL1 TR001857NIDCD NIH HHS T32 DC011499
6 · The paper itself

Abstract

Hearing thresholds form the gold standard assessment in Audiology clinics. However, ~ 10% of adult patients seeking audiological care for self-perceived hearing deficits have thresholds that are normal. Currently, a diagnostic assessment for auditory processing disorder (APD) remains one of the few viable avenues of further care for this patient population, yet there are no standard guidelines for referrals. Here, we identified tests within the APD testing battery that could provide a rapid screener to inform APD referrals in adults. We first analyzed records from the University of Pittsburgh Medical Center (UPMC) Audiology database to identify adult patients with self-perceived hearing difficulties despite normal audiometric thresholds. We then looked at the patients who were referred for APD testing. We examined test performances, correlational relationships, and classification accuracies. Patients experienced most difficulties within the dichotic domain of testing. Additionally, accuracies calculated from sensitivities and specificities revealed the words-in-noise (WIN), the Random Dichotic Digits Task (RDDT) and Quick Speech in Noise (QuickSIN) tests had the highest classification accuracies. The addition of these tests have the greatest promise as a quick screener during routine audiological assessments to help identify adult patients who may be referred for APD assessment and resulting treatment plans.

Indexed as

AudiologyAuditory Perceptual DisordersAdultAmbulatory Care FacilitiesDatabases, FactualHumansReferral and Consultation

Identifiers

PMID37604867
PMCPMC10442397
OpenAlexW4386021533

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.