Management of Choanal Atresia: A Quarter-Century of Experience
Bibliographic record
Abstract
Introduction: Choanal atresia is characterized by the abnormal presence of obstructive tissue preventing communication between the nasal cavity and the nasopharynx. The aim of this study was to determine the epidemiological profile of patients and to evaluate the results of treatment. Materials and methods: We conducted a retrospective descriptive study from January 1, 2000 to December 31, 2023. All patients treated for choanal atresia in the ENT department of the Fann University Hospital were included. All patients admitted to the department for respiratory distress related to choanal atresia were included in the study. Diagnosis was made on CT scan and endoscopic examination. Sociodemographic, clinical, radiological and therapeutic parameters were studied. Results: During the study period, 37 cases were identified. The mean age was 1 year, with extremes ranging from 1 day to 14 years, and 91% of patients were less than 6 months old. The sex ratio was 1. Moderate respiratory distress was the most frequent circumstance of discovery. Bone atresia was found in 45.94% of cases. The success rate varied according to the surgical technique used. Conclusion: Endoscopic treatment gives better results than blind divulsion.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".