Role of Endoscopic Septoplasty in the Treatment of Atypical Facial Pain
Bibliographic record
Abstract
BACKGROUND: An endoscopically performed septoplasty enables correction of deformities under superior visualization with limited tissue trauma and offers marked teaching advantages. OBJECTIVE: To investigate the role of endoscopic septoplasty in the treatment of atypical facial pain caused by septal contact points. In addition to describing the technique, we also intended to outline favourable selection criteria for patients who may benefit from this procedure. METHOD: Thirteen patients with unilateral facial pain and septal contact points with lateral nasal wall structures who met our inclusion criteria were selected for endoscopic septoplasty. RESULTS: The follow-up period ranged from 7 to 20 months postoperatively. There were no intraoperative or postoperative complications. Seven of 13 (54%) patients were "completely cured" of their facial pain and another 5 patients (38.5%) were "significantly improved." Only one patient did not improve following surgery. CONCLUSIONS: Endoscopic septoplasty is a useful approach for dealing with some septal abnormalities and can be very effective in the treatment of atypical facial pain in the appropriately selected patient.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".