Bibliographic record
Abstract
Introduction Acute victims often require immediate tracheal intubation and when this is necessary there are a number of concurrent problems to consider. There may or may not be immediate airway obstruction caused by extensive disruption to normal airway anatomy from both blunt and penetrating injuries. Airway haematoma and oedema may be present and certain injury patterns are recognized as causing airway compromise including the ‘flail’ mandible, where loss of support for the tongue anteriorly encourages it to fall backwards. Additionally, there may be severe haemorrhage and other debris present in the airway, which can make fibre-optic techniques impractical. There is invariably a full stomach with the associated risk of aspiration and finally, one must always consider injuries to the cervical spine. Cervical spine injury Approximately, 5% of severe, blunt injuries to the head and neck have cervical spine damage. Up to 14% of these injuries may be unstable, and between 1% and 5% of these injuries are initially missed. Fractures most commonly occur at the level of C2 and dislocations at the C5/6/7 regions (Figure 18.1). All such injuries may predispose to further airway obstruction from haematoma formation and soft tissue oedema in the neck (Table 18.1). Sadly, about 5% of patients admitted to hospital with cervical spine trauma will suffer a neurological deterioration after admission. Some of these deteriorations occur for no discernible reason, but some are associated with general anaesthesia. It seems sensible, therefore, to assume that there is an un-quantified risk of neurological deterioration in patients undergoing general anaesthesia with cervical spine injuries.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".