The Effectiveness of Total Intravenous Anesthesia (TIVA) in Functional Endoscopic Sinus Surgery (FESS)
Bibliographic record
Abstract
A 58-year-old female presented for Functional Endoscopic Sinus Surgery (FESS) to treat chronic rhinosinusitis. FESS is the mainstay treatment currently for chronic rhinosinusitis, with or without nasal polyps. Goals for FESS include optimal visualization of anatomical structures with minimal bleeding in the surgical field.1 The anesthetic technique chosen, either total intravenous anesthesia (TIVA) or inhalational anesthesia (IA), has shown to affect the visibility of the sinonasal mucosa, dictating the outcome of intraoperative blood loss. The difference between these agents are how they produce vasodilation in the body, particularly in the nasal mucosa.2,7,8 Current evidence supports TIVA as the superior anesthetic technique in FESS, as it has shown to successfully reduce intraoperative blood loss with superior surgical visibility.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".