Intraoral Drainage: Recommended as the Initial Approach for the Treatment of ParapHaryngeal Abscesses
Bibliographic record
Abstract
OBJECTIVE: We sought to compare the efficacy, safety, and cost of intraoral drainage (IOD) of parapharyngeal abscesses (PPAs) in the pediatric population with those of the more commonly used external neck drainage (END). PATIENTS AND STUDY DESIGN AND SETTING: An 11-year retrospective review was conducted of all patients admitted to a tertiary-care, university-affiliated, pediatric hospital with a diagnosis of PPA. Patients were divided into 2 groups according to the treatment received (IOD or END) and were followed to 1 month postoperatively. All children referred to our institution with a final diagnosis of PPA were included in the study. OUTCOME: Outcome measures were duration of anesthesia, duration of postoperative intravenous antibiotics (DPOIA), length of postoperative hospital stay (LPOHS), and occurrence of complications. RESULTS: Fifteen patients underwent IOD, and 10 patients, END. IOD shortened anesthesia time by 31.7 minutes compared with END (P = 0.0003). IOD was associated with a decrease in DPOIA and LPOHS by 1.1 days (P = 0.1931) and 1.6 days (P = 0.0649), respectively. The cost of treatment was thereby reduced. No complications were encountered in either group. CONCLUSIONS: IOD is a safe and effective treatment for PPA in the pediatric population. It leads to decreased morbidity, shortened anesthesia time, and reduced economic burden.
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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 | 0.002 |
| 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".