Subperiosteal Release of the Floor of the Mouth to Correct Airway Obstruction in Pierre Robin Sequence: Review of 31 Cases
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to evaluate subperiosteal release of the floor of the mouth (SRFM) musculature to correct neonatal airway obstruction in children with Pierre Robin sequence and to compare this procedure with other surgical options available. METHODS: A retrospective chart review of patients who underwent a SRFM for neonatal severe airway obstruction unresponsive to conservative management was performed. Preoperative and postoperative oxygenation parameters, sleep studies, feeding difficulties, and long-term evolution were documented. RESULTS: Thirty-one consecutive patients between 1995 and 2009, 19 boys and 12 girls, had an SRFM procedure to alleviate severe neonatal airway obstruction. Eight children were syndromic, 15 had associated malformations, and eight had an isolated Pierre Robin sequence. The airway obstruction was corrected with SRFM alone in 26 children (84%), three patients remained dependent on nasopharyngeal airway, and two required subsequent mandibular osteogenic distraction procedures following the SRFM to manage persistent obstruction. No patient required a tracheostomy. The average age at SRFM was 33 days, and the patients were kept intubated for an average of 6 days postoperatively. Average hospital stay after the surgery was 45 days, and 10 patients went home with gavage feeding. CONCLUSIONS: The SRFM is effective for the treatment of severe airway obstruction in patients with Pierre Robin sequence. The procedure is simple and has fewer complications and secondary procedures than other surgical options for correction of the airway obstruction.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".