Evidence map›Paper›PMID 26530094›Full record

ArticleThe Annals of otology, rhinology, and laryngology2016

Audioprofile Surfaces: The 21st Century Audiogram.

Kyle R Taylor, Kevin T Booth, Hela Azaiez, Christina M Sloan, Diana L Kolbe, Emily N Glanz, A Eliot Shearer, Adam P DeLuca, V Nikhil Anand, Michael S Hildebrand and 7 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Annals of otology, rhinology, and laryngology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. International journal of molecular sciences · 2020
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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

17 authors at 2 institutions in 2 countries.

Kyle R TaylorDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA Center for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA.
Kevin T BoothDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Hela AzaiezDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Christina M SloanDepartment of Molecular Physiology and Biophysics, University of Iowa Carver, Iowa City, Iowa, USA.
Diana L KolbeDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Emily N GlanzDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA Center for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA.
A Eliot ShearerDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Adam P DeLucaDepartment of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA.
V Nikhil AnandCenter for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA.
Michael S HildebrandDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Allen C SimpsonDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Robert W EppsteinerDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA.
Todd E ScheetzDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA Center for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA.
Terry A BraunDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA Center for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA.
Patrick L M HuygenDepartment of Otorhinolaryngology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.
Richard J H SmithDepartment of Otolaryngology, Head and Neck Surgery, University of Iowa, Iowa City, Iowa, USA Department of Molecular Physiology and Biophysics, University of Iowa Carver, Iowa City, Iowa, USA richard-smith@uiowa.edu.
Thomas L CasavantDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA Center for Bioinformatics and Computational Biology, University of Iowa, Iowa City, Iowa, USA Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa, USA.
University of Iowa · USRadboud University Nijmegen · NL

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Optimizing Genetic Testing for Deafness for Clinical DiagnosticsR01DC012049 · NIDCD · UNIVERSITY OF IOWA · PI TERRY A BRAUN, Thomas L. Casavant · 2011 to 2026
$8.7M
AUTOSOMAL DOMINANT NONSYNDROMIC HEARING LOSSR01DC003544 · NIDCD · UNIVERSITY OF IOWA · PI SMITH, RICHARD J.H. · 1998 to 2017
$7.8M
Genetic causes of hearing loss from the population to the molecular levelF30DC011674 · NIDCD · UNIVERSITY OF IOWA · PI SHEARER, AIDEN ELIOT · 2011 to 2013
$117k
NIDCD NIH HHS DC011674NIDCD NIH HHS DC012049NIDCD NIH HHS F30 DC011674NIDCD NIH HHS R01 DC003544NIDCD NIH HHS R01 DC012049NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

objectiveTo present audiometric data in 3 dimensions by considering age as an addition dimension.

methodsAudioprofile surfaces (APSs) were fitted to a set of audiograms by plotting each measurement of an audiogram as an independent point in 3 dimensions with the x, y, and z axes representing frequency, hearing loss in dB, and age, respectively.

resultsUsing the Java-based APS viewer as a standalone application, APSs were pre-computed for 34 loci. By selecting APSs for the appropriate genetic locus, a clinician can compare this APS-generated average surface to a specific patient's audiogram.

conclusionAudioprofile surfaces provide an easily interpreted visual representation of a person's hearing acuity relative to others with the same genetic cause of hearing loss. Audioprofile surfaces will support the generation and testing of sophisticated hypotheses to further refine our understanding of the biology of hearing.

Indexed as

SoftwareAudiometry, Pure-ToneAuditory ThresholdHearingHearing Loss, SensorineuralHumansMiddle Agedaudiogramsaudiometric dataaudioprofile surfaceshearing loss

Identifiers

PMID26530094
PMCPMC4821702
OpenAlexW2271019717

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.