1412 Cervical spine immobilisation in ambulatory patients
Bibliographic record
Abstract
Aims, Objectives and Background Approximately 2500 people suffer a traumatic cervical spinal fracture per year in the UK, of which 10–14% have an associated spinal cord injury. Emergency department practice was changed after Sundstrom et al (2014) found existing evidence for cervical spine collars to be weak. From April 2015 a new guideline was implemented in the Royal Derby Hospital removing the routine use of cervical collars for certain groups. This allowed patients who self-presented to the ED who met the Canadian C-spine criteria for radiographic imaging to remain free from immobilisation devices and undergo standing plain films or self-position for CT imaging. Method and Design A retrospective case note review was carried out from April 2009 to September 2021. Patients with a confirmed diagnosis of cervical spine fracture were identified and those who did not arrive by ambulance were selected for analysis. Their case notes were reviewed for fracture site, time since injury, neurological symptoms and clinical management. Results and Conclusion Cervical spine fracture was diagnosed in 30 patients each year on average over the study period. Fifteen per cent were not conveyed by ambulance. Over 70% of patients presented more than 4 hours after their injury. The most common site of injury was C6/7 (50%) followed by C2 (30%). Those patients who self-presented to the emergency department and were subsequently diagnosed with a cervical spine fracture suffered no adverse outcomes. Self-presentation to the emergency
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.008 | 0.001 |
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".