Evidence map›Paper›PMID 37006113›Full record

ArticleNoise & health

Middle Ear Muscle Reflex in Normal-Hearing Individuals with Occupational Noise Exposure.

Sahana Vasudevamurthy, Ajith U Kumar

Open access · goldAbstract read
In one paragraph

Article in Noise & health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
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 at 1 institution in 1 country.

Sahana VasudevamurthyFacility for Advanced Auditory Research (FAAR), Department of Audiology, All India Institute of Speech and Hearing, Mysuru, Karnataka, India.
Ajith U KumarDepartment of Audiology, All India Institute of Speech and Hearing, Mysuru, Karnataka, India.
Dr. S.R. Chandrasekhar Institute of Speech and Hearing · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Noise-induced cochlear synaptopathy is studied extensively in animal models. The diagnosis of synaptopathy in humans is challenging and the roles of many noninvasive measures in identifying synaptopathy are being explored. The acoustic middle ear muscle reflex (MEMR) can be considered as a vital tool since noise exposure affects the low-spontaneous rate fibers that play an important role in elicitation of MEMR. The present study aimed at measuring MEMR threshold and MEMR strength. Design: The study participants were divided into two groups. All the participants had normal-hearing thresholds. The control group consisted of 25 individuals with no occupational noise exposure whereas noise exposure group had 25 individuals who were exposed to occupational noise of 85 dBA for a minimum period of 1 year. MEMR threshold and strength was assessed for pure tones (500 Hz and 1000 Hz) and broadband noise. Results: The results showed that the MEMR threshold was similar in both the groups. MEMR strength was reduced in noise exposure group compared to control group. Conclusions: The results of the study suggest that MEMR strength could be used as a sensitive measure in identifying cochlear synaptopathy with careful consideration of the stimulus characteristics.

Indexed as

Ear, MiddleHearing Loss, Noise-InducedNoise, OccupationalAcoustic StimulationAnimalsAuditory ThresholdCochleaEvoked Potentials, Auditory, Brain StemHearingHumansMusclesReflexAcoustic reflexcochlear neuropathycochlear synaptopathyhidden hearing lossmiddle ear muscle reflex

Identifiers

PMID37006113
PMCPMC10301919
OpenAlexW4362520748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.