Evidence map›Paper›PMID 38749408›Full record

ArticleAudiology & neuro-otology2024

Early Loss of Spiral Ganglion Neurons in the Auditory System after Noise Trauma.

Moritz Gröschel, Tanyo Manchev, Felix Fröhlich, Stefan Voigt, Arne Ernst, Dietmar Basta

Abstract read
In one paragraph

Article in Audiology & neuro-otology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

6 authors.

Moritz GröschelDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.
Tanyo ManchevDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.
Felix FröhlichDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.
Stefan VoigtDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.
Arne ErnstDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.
Dietmar BastaDepartment of Otorhinolaryngology, Unfallkrankenhaus Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNoise-induced hearing loss is one of the most frequent recognized occupational diseases. The time course of the involved pathologies is still under investigation. Several studies have demonstrated an acute damage of the sensory tissue, but only few experiments investigated the degeneration of (type I) spiral ganglion neurons (SGNs), representing the primary neurons in the auditory system. The aim of the present study was to investigate the time course of SGN degeneration within a 7-day period after traumatic noise exposure starting immediately after trauma.

methodsYoung adult normal hearing mice were noise exposed for 3 h with a broadband noise (5-20 kHz) at 115 dB SPL. Auditory threshold shift was measured by auditory brainstem recordings, and SGN densities were analyzed at different time points during the first week after acoustic trauma.

resultsSignificant reduction of SGN densities was detected and is accompanied by a significant hearing loss. Degeneration starts within hours after the applied trauma, further progressing within days post-exposure. DISCUSSION: Early neurodegeneration in the auditory periphery seems to be induced by direct overstimulation of the auditory nerve fibers. SGN loss is supposed to be a result of inflammatory responses and neural deprivation, leading to permanent hearing loss and auditory processing deficits.

Indexed as

Auditory ThresholdEvoked Potentials, Auditory, Brain StemHearing Loss, Noise-InducedSpiral GanglionAnimalsDisease Models, AnimalMaleMiceNerve DegenerationNeuronsNoiseAuditory brainstem responseNeurodegenerationNoise-induced hearing lossSpiral ganglion neuron

Identifiers

PMID38749408
PMCPMC11651671

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.