Comparison of a Supraglottic Airway Device (v-gel®) with Blind Orotracheal Intubation in Rabbits
Why this work is in the frame
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Bibliographic record
Abstract
Introduction Achieving a secure airway in rabbits is generally considered more difficult than in cats or dogs. Their relatively large tongue, small oropharyngeal cavity and glottis limit direct visualization. A rabbit-specific supraglottic airway device (SGAD) may offer benefits over blind orotracheal intubation. Materials & methods Fifteen adult New Zealand white rabbits were randomised to SGAD or orotracheal intubation (ETT). All animals were sedated with dexmedetomidine (0.1 mg kg-1 IM) and midazolam (0.5 mg kg-1 IM), followed by induction with alfaxalone (0.3 mg kg-1 IV). Two CT scans of the head and neck were performed, following sedation and SGAD/ETT placement. The following were recorded: time to successful device insertion, smallest cross-sectional airway area, airway sealing pressure and histological score of tracheal tissue. Data were analysed with a Mann-Whitney test. Results Two rabbits were excluded following failed ETT. Body masses were similar (ETT; n = 6, 2.6 [2.3 - 4.5] kg. SGAD; n = 7, 2.7 [2.4 - 5.0] kg). SGAD placement was significantly faster (33 [14 - 38] seconds) than ETT (59 [29-171] seconds). Cross-sectional area was significantly reduced from baseline (12.2 [6.9 - 13.4] mm2) but similar between groups (SGAD; 2.7 [2.0 - 12.3] mm2, ETT; 3.8 [2.3 - 6.6] mm2). In the SGAD group, the device tip migrated into the laryngeal vestibule in 6/7 rabbits, reducing the cross-sectional area. ETT airway seals were higher (15 [10 - 20] cmH2O), but not significantly (SGAD; 5 [5 - 20] cmH2O, p = 0.06). ETT resulted in significantly more mucosal damage (histological score 3.3 [1.0 - 5.0]), SGAD; 0.67 [0.33 - 3.67]). Conclusions The SGAD studied was faster to place and caused less damage than orotracheal intubation, but resulted in a similar cross-sectional area.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it