Prospective observational study to assess the performance accuracy of clinical decision rules in children presenting to emergency departments with possible cervical spine injuries: the Study of Neck Injuries in Children (SONIC)
Bibliographic record
Abstract
INTRODUCTION: Paediatric cervical spine injury (CSI) is uncommon but can have devastating consequences. Many children, however, present to emergency departments (EDs) for the assessment of possible CSI. While imaging can be used to determine the presence of injuries, these tests are not without risks and costs, including exposure to radiation and associated life-time cancer risks. Clinical decision rules (CDRs) to guide imaging decisions exist, although two of the existing rules, the National Emergency X-Radiography Low Risk Criteria and the Canadian C-Spine Rule (CCR), focus on adults and a newly developed paediatric rule from the Pediatric Emergency Care Applied Research Network (PECARN) is yet to be externally validated. This study aims to externally validate these three CDRs in children. METHODS AND ANALYSIS: This is a multicentre prospective observational study of children younger than 16 years presenting with possible CSI following blunt trauma to 1 of 14 EDs across Australia, New Zealand and Singapore. Data will be collected on presenting features (history, injury mechanism, physical examination findings) and management (diagnostic imaging, admission, interventions, outcomes). The performance accuracy (sensitivity, specificity, negative and positive predictive values) of three existing CDRs in identifying children with study-defined CSIs and the specific CDR defined outcomes will be determined, along with multiple secondary outcomes including CSI epidemiology, investigations and management of possible CSI. ETHICS AND DISSEMINATION: Ethics approval for the study was received from the Royal Children's Hospital Melbourne Human Research Ethics Committee in Australia (HREC/69436/RCHM-2020) with additional approvals from the New Zealand Human and Disability Ethics Committee and the SingHealth Centralised Institutional Review Board. Findings will be disseminated through peer-reviewed publications and future management guidelines. TRIAL REGISTRATION NUMBER: Registration with the Australian New Zealand Clinical Trials Registry prior to the commencement of participant recruitment (ACTRN12621001050842). 50% of expected patients have been enrolled to date.
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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".