ReviewThe Journal of the Acoustical Society of America2019
The chinchilla animal model for hearing science and noise-induced hearing loss.
Review in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.
- Octave band noise exposure: Laboratory models and otoprotection efforts.The Journal of the Acoustical Society of America · 2019Pooled it
- From Anatomy to Application: A Comprehensive Review of Nanovesicular Systems for Otic Drug Delivery.AAPS PharmSciTech · 2026Review
- Fibrous Biomaterial Scaffold for Tympanic Membrane Repair: Microarchitectural Engineering and Structure Function Performance.Journal of functional biomaterials · 2026Review
- Genotoxicity Assessment of Silver Nanoparticles Produced via HVAD: Examination of Sister Chromatid Exchanges inInternational journal of molecular sciences · 2025Article
- Welfare of American mink, red and Arctic foxes, raccoon dog and chinchilla kept for fur production.EFSA journal. European Food Safety Authority · 2025Article
- Contributions and future potential of animal models for geroscience research on sensory systems.GeroScience · 2025Review
- Noise-Induced Hearing Threshold Shift Correlated with Body Weight and External-Ear Amplification in Chinchilla: a Preliminary Analysis.Journal of the Association for Research in Otolaryngology : JARO · 2023Article
- Models of Cochlea Used in Cochlear Implant Research: A Review.Annals of biomedical engineering · 2023Review
- Finite Element Modeling of Residual Hearing after Cochlear Implant Surgery in Chinchillas.Bioengineering (Basel, Switzerland) · 2023Article
- The role of kurtosis and kurtosis-adjusted energy metric in occupational noise-induced hearing loss among metal manufacturing workers.Frontiers in public health · 2023Article
- On-Demand Synthesis of Antiseptics at the Site of Infection for Treatment of Otitis Media.Nano today · 2022Article
- Underlying neural mechanisms of degraded speech intelligibility following noise-induced hearing loss: The importance of distorted tonotopy.Hearing research · 2022Review
- No Reduction in the 226-Hz Probe Tone Acoustic Reflex Amplitude Following Severe Inner Hair Cell Loss in Chinchillas.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
- Ontogeny of cellular organization and LGR5 expression in porcine cochlea revealed using tissue clearing and 3D imaging.iScience · 2022Article
- Cross-species experiments reveal widespread cochlear neural damage in normal hearing.Communications biology · 2022Article
- Effect of Selective Carboplatin-Induced Inner Hair Cell Loss on Temporal Integration in Chinchillas.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
- Distorted Tonotopy Severely Degrades Neural Representations of Connected Speech in Noise following Acoustic Trauma.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Correlation of Histomorphometric Changes with Diffusion Tensor Imaging for Evaluation of Blast-Induced Auditory Neurodegeneration in Chinchilla.Journal of neurotrauma · 2021Article
- Investigational Medicinal Products for the Inner Ear: Review of Clinical Trial Characteristics in ClinicalTrials.gov.Journal of the American Academy of Audiology · 2021Review
- Permeation of polyethylene glycols across the tympanic membrane.Giant (Oxford, England) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The chinchilla animal model for noise-induced hearing loss has an extensive history spanning more than 50 years. Many behavioral, anatomical, and physiological characteristics of the chinchilla make it a valuable animal model for hearing science. These include similarities with human hearing frequency and intensity sensitivity, the ability to be trained behaviorally with acoustic stimuli relevant to human hearing, a docile nature that allows many physiological measures to be made in an awake state, physiological robustness that allows for data to be collected from all levels of the auditory system, and the ability to model various types of conductive and sensorineural hearing losses that mimic pathologies observed in humans. Given these attributes, chinchillas have been used repeatedly to study anatomical, physiological, and behavioral effects of continuous and impulse noise exposures that produce either temporary or permanent threshold shifts. Based on the mechanistic insights from noise-exposure studies, chinchillas have also been used in pre-clinical drug studies for the prevention and rescue of noise-induced hearing loss. This review paper highlights the role of the chinchilla model in hearing science, its important contributions, and its advantages and limitations.
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What OpenQuestion holds
Registered trials
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.