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Record W2292309585 · doi:10.1001/jamaoto.2015.3938

Association of Caffeine and Hearing Recovery After Acoustic Overstimulation Events in a Guinea Pig Model

2016· article· en· W2292309585 on OpenAlexaffabout
Faisal Zawawi, Aren Bezdjian, Mario A. Mujica‐Mota, Jamie M. Rappaport, Sam J. Daniel

Bibliographic record

VenueJAMA Otolaryngology–Head & Neck Surgery · 2016
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsMcGill University
Fundersnot available
KeywordsAcoustic traumaMedicineAudiologyCaffeineAuditory fatigueStimulationAuditory brainstem responseAbsolute threshold of hearingHearing lossAnesthesiaNoise exposureInternal medicine

Abstract

fetched live from OpenAlex

IMPORTANCE: Noise-induced hearing loss is an increasingly worrisome problem. Although caffeine intake is common in people involved in noise-related environments, the effect of caffeine on the recovery of hearing after a temporary threshold shift requires further understanding. OBJECTIVES: To determine whether caffeine impairs hearing recovery in a guinea pig model exposed to acoustic overstimulation. DESIGN, SETTING, AND SUBJECTS: This experiment at the McGill University Auditory Sciences Laboratory used 24 female albino guinea pigs (age, 6 months; weight, 500-600 g) divided randomly into 3 groups of 8 animals each. Group 1 was exposed to caffeine; group 2, acoustic overstimulation events (AOSEs); and group 3, both. Data were collected from July 1, 2013, to March 30, 2014, and analyzed from April 1 to August 1, 2014. INTERVENTIONS: Daily caffeine dose for groups 1 and 3 consisted of 25 mg/kg administered intraperitoneally for 15 days. The AOSEs were administered on days 1 and 8 and consisted of 1 hour of 110-dB pure-tone sound. MAIN OUTCOMES AND MEASURES: Serial auditory brainstem response (ABR) tests to determine the audiological threshold shift and recovery were obtained at baseline and on days 1 (1 hour after the first AOSE), 4, 8 (before and 1 hour after the second AOSE), 11, and 15. Scanning electron and light microscopy of the cochleas were performed to determine morphologic changes. RESULTS: The day 1 post-AOSE measurement resulted in a similar threshold shift in all animals in groups 2 and 3 at all frequencies tested (8, 16, 20, and 25 kHz). The maximum threshold shift was at 16 kHz, with a mean of 66.12 dB. By day 8, the threshold shift in group 2 recovered completely at all frequencies except 20 kHz, where a mean threshold shift of 20.63 dB of sound pressure level (SPL) was present. Hearing impairment in group 3 persisted in 8-, 16-, and 25-kHz frequencies with thresholds of 21.88, 28.13, and 26.25 dB SPL, respectively (P = .001). After a second AOSE at day 8, similar threshold shift and outcome were recorded on day 15 compared with day 8, with a mean threshold shift at 20 kHz of 29.38 dB SPL in group 2 and mean threshold shifts at 8, 16, 20, and 25 kHz of 29.38, 35.63, 40.63, and 38.75 dB SPL, respectively, in group 3. The difference in ABR threshold recovery was in concordance with scanning electronic and light microscopy findings for each group. CONCLUSIONS AND RELEVANCE: A daily dose of caffeine was found to impair the recovery of hearing after an AOSE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.264
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2016
Admission routes2
Has abstractyes

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