The Markham-Stouffville hospital experience with malleovestibulopexy.
Bibliographic record
Abstract
OBJECTIVE: To analyze the hearing results of malleovestibulopexy (MVP) technique in the special situations encountered in revision stapedotomies and congenital middle ear malformations. DESIGN: Retrospective chart review. SETTING: Tertiary referral stapes surgery center, community hospital. METHODS: Audiometric results of 1369 stapedotomies performed in Markham-Stouffville Hospital during a period from 1991 to 2006 were reviewed. The results of 24 MVP procedures employed for revision stapedotomy or for congenital conductive hearing loss were included. MAIN OUTCOME MEASURES: Air-bone gap (ABG) closure, air conduction (AC) gain, speech reception threshold (SRT) improvement. RESULTS: Significant improvement in AC, ABG and SRT was demonstrated postoperatively. ABG closure within 20 dB was achieved in 61% of cases. One patient had transient postoperative vertigo. None of patients developed sensori neural hearing loss (SNHL) due to the surgery. CONCLUSION: When surgical options for middle ear reconstruction are limited due to stapes immobility combined with absent or eroded incus, MVP offers a useful alternative enabling good hearing results. In our experience, the laser-assisted MVP technique is associated with low risk of postoperative SNHL and vestibular symptoms. This method offers a valuable adjunct to standard middle ear reconstruction techniques.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".