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Record W2093409408 · doi:10.1017/s0022215109004745

Hearing results of 1145 stapedotomies evaluated with Amsterdam hearing evaluation plots

2009· article· en· W2093409408 on OpenAlex
Vitaly Kisilevsky, Sunil Narayan Dutt, Neil Bailie, Jerry J. Halik

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2009
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsMarkham Stouffville HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineOtorhinolaryngologyBone conductionAudiologyHead and neck surgeryAudiometryChartRetrospective cohort studySurgeryHearing loss

Abstract

fetched live from OpenAlex

AIMS: To evaluate the hearing results of a large series of primary stapedotomies, according to American Academy of Otolaryngology, Head and Neck Surgery guidelines and Amsterdam hearing evaluation plots. STUDY DESIGN: Retrospective chart review. METHODS: The charts for 1369 consecutive stapedotomy cases were reviewed; 1145 cases of primary stapedotomy were included. Raw data from the audiometric database were evaluated using Amsterdam hearing evaluation plots. The effect on outcomes of using different audiological parameters was analysed. RESULTS: A significant improvement was demonstrated in mean post-operative air conduction and speech reception thresholds, with no change in bone conduction. Air-bone gap closure of 10 dB or more was achieved in 82 per cent of cases. A 'dead ear' occurred in one patient (0.1 per cent). CONCLUSION: This study reports the largest series of primary stapedotomies evaluated with Amsterdam hearing evaluation plots. This method enables visual identification of successful and unfavourable results, providing more accurate and detailed presentation of surgical outcomes.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.322
Teacher spread0.276 · 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