Pilot Study Assessing the Feasibility and Clinical Outcomes of Office-Based Ossiculoplasty
Bibliographic record
Abstract
OBJECTIVES:: The aim of this study was to assess the feasibility and safety of ossiculoplasty under local anesthesia in an office setting without sedation. METHODS:: Between May 2017 and November 2017, patients who presented with conductive hearing loss and known isolated ossicular discontinuities were offered ossiculoplasty under local anesthesia. Inclusion criteria included age ⩾ 18 years, adequate transcanal access, and the ability to lie supine for up to 45 minutes. Exclusion criteria included associated tympanic membrane perforation and the presence of middleear or mastoid cholesteatoma or infection. RESULTS:: Fourteen patients underwent the procedure. The mean age was 48.3 years (range, 19-74 years). Six were primary and 8 revision cases. There were 8 partial and 6 total prosthesis placements. The mean operative time was 34 minutes (range, 26-43 minutes). All patients tolerated the procedure to completion. There were no intraoperative complications. The mean air conduction pure-tone average was 76.6 dB and the mean bone conduction pure-tone average was 27.2 dB, with a preoperative air-bone gap of 49.9 dB. Air conduction pure-tone average significantly improved to 45.2 dB ( P < .0001). Air-bone gap significantly improved to 17.8 dB ( P < .0001). CONCLUSIONS:: Ossiculoplasty using partial or total prostheses can be safely performed in the office setting under local anesthesia without sedation in carefully selected patients. This has potentially significant patient and system benefits.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".