Long-Term Outcomes from Blind Sac Closure of the External Auditory Canal: Our Institutional Experience in Different Pathologies
Bibliographic record
Abstract
OBJECTIVES: This study reports long-term results of blind sac closure of the external auditory canal performed for various pathologies, compares the complication rates and the need for revision surgery. MATERIALS AND METHODS: This study is a retrospective review. Ninety-six cases of blind sac closure performed for various pathologies were included in this study. The primary pathologies included extensive mucosal disease in an open mastoid cavity, cholesteatoma, skull base lesion, cerebrospinal fluid leak, and osteoradionecrosis of the temporal bone. Preoperative history, postoperative complications, and the need for revision surgery were evaluated. RESULTS: The most common indication for blind sac closure in our series involved skull base lesions (62.5%). The mean follow-up period was 46 months (4 months - 20 years). The total complication rate related to blind sac closure was 10.4%. The median time between surgery and long-term complications was 5.5 years. Patients with chronic mucosal disease had the highest rate of complications. CONCLUSION: Blind sac closure of external meatus can be effectively performed for different pathologies. Long-term follow-up with patients is necessary. Patients with chronic mucosal disease have the highest complication rates.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".