Validation of the Canadian c-spine rule in the UK emergency department setting
Bibliographic record
Abstract
AIM: To determine the potential of the Canadian Cervical Spine Rule (CCR) to safely reduce the number of cervical spine (c-spine) radiographs performed in the UK emergency department setting. METHODS: The study was conducted in two UK emergency departments with a combined annual attendance of >150,000 adult patients. Over the 24 month trial period, 148 doctors were provided training in the use of the CCR and instructed to assess eligible patients presenting with potential c-spine injury. Doctors were instructed to manage patients according to existing practice and not according to the decision obtained from the rule. A subsample of patients was reassessed by a second doctor to test interobserver reliability. RESULTS: A total of 1420 patients were enrolled in the study (50.4% male). 987 (69.5%) had c-spine radiography performed, with 8 (0.6%) having a c-spine injury. If the decision for radiography had been made according to the outcome of the CCR, only 815 (57.4%) would have had c-spine radiography and all 8 abnormal cases would have undergone imaging. Doctors were comfortable using the rule in 91% of cases. Interobserver reliability was good (κ=0.75 95% CI 0.44 to 1.06). CONCLUSION: The CCR can be applied successfully in the UK. Had the CCR been in use during the study period, a 17.4% reduction in radiography could have been achieved without compromising patient care.
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 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 teacher head, 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".