Hearing Outcomes in Functional Surgery for Middle Ear Malformations
Bibliographic record
Abstract
OBJECTIVES: To standardize the information for families of children having functional surgery for middle ear malformations, we describe the audiometric results of the subgroup of patients with the most favorable anatomic conditions: viable auditory canal, intact tympanic membrane, mobile stapes, and corresponding to a Jahrsdoerfer score of 8 or higher. STUDY DESIGN: Case series, tertiary referral center. METHODS: Charts of patients undergoing functional surgery for congenital middle ear malformations were reviewed for demographic data, preoperative Jahrsdoerfer score, ossicular chain status, type of ossiculoplasty, and audiometric data before and 6 months postsurgery. RESULTS: Eighteen consecutive interventions were performed on 13 patients (average age of 9 years, 8 girls and 5 boys) between 2004 and 2011. The ossiculoplasties performed were as follows: incus repositioning (4), double-layer tragal cartilage (5), intact native chain reconstruction (3), and partial ossicular prosthesis (6). Mean air bone gap (ABG) was 40.8 ± 12.4 dB preoperatively and 20.9 ± 12.9 dB postoperatively (p < 0.0001). Preoperative and postoperatively mean air conduction PTA thresholds were 49.9 ± 9.5 and 30.0 ± 14.1 dB, respectively (p < 0.0001). All ears operated on except one had air conduction improvement. There were no complications. CONCLUSION: Functional surgery for congenital middle ear malformations gives variable hearing outcomes. In this study, with the most favorable anatomic conditions, 12 ears (67%) of 18 had air conduction improvement below 30 dB.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".