Multiple trauma in children: predicting outcome and long-term results.
Bibliographic record
Abstract
OBJECTIVE: To analyze the management of pediatric trauma and the efficacy of the Pediatric Trauma Score (PTS) in classifying injury severity and predicting prognosis. DESIGN: A retrospective case series. SETTING: The Children's Hospital of Eastern Ontario, a major pediatric trauma centre. PATIENTS: One hundred and forty-nine traumatized children with 2 or more injuries to 1 body system or a single injury to 2 or more body systems. INTERVENTIONS: Use of the PTS and Glasgow Coma Scale score in trauma management. MAIN OUTCOME MEASURES: Types of injuries sustained, complications, missed injuries, psychosocial effects and residual deficiencies. RESULTS: The average PTS was 8.5 (range from -3 to 11). The total number of injuries sustained was 494, most commonly closed head injury (86). Forty-two percent of children with an average trauma score of 8.5 were treated surgically. There were 13 missed injuries, and complications were encountered in 57 children, the most common being secondary to fractures. Forty-eight (32%) children had residual long-term deficiency, most commonly neurologic deficiency secondary to head injury. CONCLUSIONS: Fractures should be stabilized early to decrease long-term complications. A deficiency of the PTS is the weighting of open fractures of a minor bone. For example, metacarpal fracture is given the same weight as an open fracture of the femur. Neuropsychologic difficulties secondary to trauma are a major sequela of trauma in children.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".