Evidence map›Paper›PMID 27477593›Full record

ArticleJournal of communication disorders

Speech audiometry findings from HIV+ and HIV- adults in the MACS and WIHS longitudinal cohort studies.

Peter Torre, Howard J Hoffman, Gayle Springer, Christopher Cox, Mary A Young, Joseph B Margolick, Michael Plankey

Open access · greenAbstract read
In one paragraph

Article in Journal of communication disorders. 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
0.4field-weighted citation impact, top 34% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 4 institutions in 1 country.

Peter TorreSchool of Speech, Language, and Hearing Sciences, San Diego State University, San Diego, CA, United States. Electronic address: ptorre@mail.sdsu.edu.
Howard J HoffmanEpidemiology and Statistics Program, National Institute on Deafness and Other Communication Disorders (NIDCD), National Institutes of Health (NIH), Bethesda, MD, United States.
Gayle SpringerDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Christopher CoxDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Mary A YoungDepartment of Medicine, Division of Infectious Diseases, Georgetown University Medical Center, Washington, D.C., United States.
Joseph B MargolickDepartment of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, United States.
Michael PlankeyDepartment of Medicine, Division of Infectious Diseases, Georgetown University Medical Center, Washington, D.C., United States.
Johns Hopkins University · USGeorgetown University Medical Center · USNational Institute on Deafness and Other Communication Disorders · USSan Diego State University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
WOMEN'S INTERAGENCY HIV STUDY (WIHS) ORGANIZATION AND MANAGEMENTU01AI034994 · NIAID · GEORGETOWN UNIVERSITY · PI KASSAYE, SEBLE G · 1993 to 2018
$52.0M
WOMENS INTERAGENCY HIV STUDY (WIHS)U01HD032632 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MILAM, JOEL E · 1994 to 2012
$42.0M
WIHS DATA MANAGEMENT AND ANALYSIS CENTER(WDMAC)U01AI042590 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GANGE, STEPHEN J, GOLUB, ELIZABETH T · 1998 to 2018
$38.4M
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
NCRR NIH HHS UL1 RR025005NIAID NIH HHS U01 AI034994NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI042590NIAID NIH HHS UM1 AI035043NICHD NIH HHS U01 HD032632
6 · The paper itself

Abstract

The purpose of this study was to compare various speech audiometry measures between HIV+ and HIV- adults and to further evaluate the association between speech audiometry and HIV disease variables in HIV+ adults only. Three hundred ninety-six adults from the Multicenter AIDS Cohort Study (MACS) and Women's Interagency HIV Study (WIHS) completed speech audiometry testing. There were 262 men, of whom 117 (44.7%) were HIV+, and 134 women, of whom 105 (78.4%) were HIV+. Speech audiometry was conducted as part of the standard clinical audiological evaluation that included otoscopy, tympanometry, and pure-tone air- and bone-conduction thresholds. Specific speech audiometry measures included speech recognition thresholds (SRT) and word recognition scores in quiet presented at 40dB sensation level (SL) in reference to the SRT. SRT data were categorized in 5-dB steps from 0 to 25dB hearing level (HL) with one category as ≥30dB HL while word recognition scores were categorized as <90%, 90-99%, and 100%. A generalized estimating equations model was used to evaluate the association between HIV status and both ordinal outcomes. The SRT distributions across HIV+ and HIV- adults were similar. HIV+ and HIV- adults had a similar percentages of word recognition scores <90%, a lower percentage of HIV- adults had 90-99%, but HIV- adults had a higher percentage of 100%. After adjusting for covariables, HIV+ adults were borderline significantly more likely to have a higher SRT than HIV- adults (odds ratio [OR]=1.45, p=0.06). Among HIV+ adults, HIV-related variables (i.e., CD4+ T-cell counts, HIV viral load, and ever history of clinical AIDS) were not significantly associated with either SRT or word recognition score data. There was, however, a ceiling effect for word recognition scores, probably the result of obtaining this measure in quiet with a relatively high presentation level. A more complex listening task, such as speech-in-noise testing, may be a more clinically informative test to evaluate the effects of HIV on speech communication.

Indexed as

Audiometry, SpeechSpeech PerceptionFemaleHIV InfectionsHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesAdultsHIVSpeech audiometry

Identifiers

PMID27477593
PMCPMC5125885
OpenAlexW2477246101

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.