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Record W2003265026 · doi:10.1002/lary.20515

Brain‐derived nerve growth factor in the treatment of sensorineural hearing loss

2009· article· en· W2003265026 on OpenAlexaff
Eric Meen, Brian W. Blakley, Taeed Quddusi

Bibliographic record

VenueThe Laryngoscope · 2009
Typearticle
Languageen
FieldNeuroscience
TopicHearing, Cochlea, Tinnitus, Genetics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSensorineural hearing lossAudiologyHearing lossMedicineNeurosciencePsychology

Abstract

fetched live from OpenAlex

OBJECTIVES/HYPOTHESIS: A possible medical treatment for sensorineural hearing loss using brain-derived nerve growth factor (BDNF) was explored. The hypothesis is that direct intracochlear application of BDNF will result in improved hearing. STUDY DESIGN: Animal research study. METHODS: Significant hearing loss was created using cisplatin in 11 guinea pigs. One month later, bilateral cochleostomies were performed placing 0.05 microg of BDNF in one cochlea of each animal prior to plugging with connective tissue. The other cochlea served as a control. Auditory brain-stem response (ABR) testing was then carried out for three months at 6,000, 8,000, 12,000, and 24,000 Hz. RESULTS: ABR thresholds were better in the treated ear for all frequencies. Threshold differences were statistically significantly better two months after treatment (general linear model, repeated measures P = .045). CONCLUSIONS: Intracochlear application of BDNF may prevent hearing loss.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.223
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.306
Teacher spread0.242 · 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 teacher head, 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

Citations24
Published2009
Admission routes1
Has abstractyes

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