The Pediatric Emergency Care Applied Research Network intermediate-risk predictors were not associated with scanning decisions for minor head injuries
Bibliographic record
Abstract
AIM: This study determined the predictors associated with the decision to perform a computed tomography (CT) scan in children with a minor head injury (MHI). We focused on those facing an intermediate risk of clinically important traumatic brain injury (ciTBI), according to the Pediatric Emergency Care Applied Research Network (PECARN) prediction rule. METHODS: A 1-year, cross-sectional study was performed in an Italian paediatric emergency department, focusing on children presenting within 24 h of an MHI and meeting the PECARN intermediate-risk criteria. RESULTS: We included 308 children, and 47% were younger than 2 years of age. CT scans were carried out on 13%, 1.3% had a ciTBI and one was initially missed but did not need neurosurgery following diagnosis. Single and multiple PECARN intermediate-risk predictors were not associated with whether a CT scan was carried out. The only clinical variable associated with the decision to perform a CT scan was if the child was <3 months of age (OR 18.1, 95% CI, 4.91-66.61). CONCLUSION: The PECARN intermediate-risk predictors did not play a major role in the decision to perform a CT scan. The only factor significantly associated with the decision to perform a CT scan was when the patient was younger than 3 months of age.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".