Evidence map›Paper›PMID 39592507›Full record

ReviewJournal of the Association for Research in Otolaryngology : JARO2025

The Ins and Outs of Distortion Product Otoacoustic Emission Growth: A Review.

Courtney Coburn Glavin, Sumitrajit Dhar

Abstract readReview
In one paragraph

Review in Journal of the Association for Research in Otolaryngology : JARO, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Courtney Coburn GlavinRoxelyn and Richard Pepper Department of Communication Sciences & Disorders, Northwestern University, Evanston, IL, 60208, USA. ccglavin@uw.edu.ORCID http://orcid.org/0000-0001-9036-1878
Sumitrajit DharRoxelyn and Richard Pepper Department of Communication Sciences & Disorders, Northwestern University, Evanston, IL, 60208, USA.ORCID http://orcid.org/0000-0002-4496-6355

Funding

Evaluating Human Cochlear Aging Using Otoacoustic Emissions (OAEs)F32DC019557 · NIDCD · NORTHWESTERN UNIVERSITY · PI GLAVIN, COURTNEY COBURN · 2021 to 2023
$251k
NIDCD NIH HHS F32 DC019557
6 · The paper itself

Abstract

Otoacoustic emissions (OAEs) are low-level signals generated from active processes related to outer hair cell transduction in the cochlea. In current clinical applications, OAEs are typically used to detect the presence or absence of hearing loss. However, their potential extends far beyond hearing screenings. Dr. Glenis Long realized this unfulfilled potential decades ago. She subsequently devoted a large portion of her storied scientific career to understanding OAEs and cochlear mechanics, particularly at the intersection of OAEs and perceptual measures. One specific application of OAEs that has yet to be translated from research laboratories to the clinic is using them to non-invasively characterize cochlear nonlinearity-a hallmark feature of a healthy cochlea-across a wide dynamic range. This can be done by measuring OAEs across input levels to obtain an OAE growth, or input-output (I/O), function. In this review, we describe distortion product OAE (DPOAE) growth and its relation to cochlear nonlinearity and mechanics. We then review biological and measurement factors that are known to influence OAE growth and finish with a discussion of potential applications. Throughout the review, we emphasize Dr. Long's many contributions to the field.

Indexed as

CochleaOtoacoustic Emissions, SpontaneousAnimalsHumansGrowthInput–output (I/O) functionsOtoacoustic emissions

Identifiers

PMID39592507
PMCPMC11861785

What OpenQuestion holds

Textmetadata
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.