Do Concussive Symptoms Really Resolve in Young Children?
Bibliographic record
Abstract
OBJECTIVES: To examine the frequency and nature of postconcussive symptoms (PCSs) and behavioral outcomes in young children following mild traumatic brain injury (mTBI) or concussion. SETTING: Emergency department. PARTICIPANTS: Children aged 2 to 12 years presenting with either a concussion or minor bodily injury (control). OUTCOME MEASUREMENT: Parent ratings of PCS were obtained within 72 hours of injury, at 1 week, and 1, 2, and 3 months postinjury using a comprehensive PCS checklist. Preinjury behavior was examined at baseline using the Clinical Assessment of Behavior, which was readministered 1 and 3 months postinjury. RESULTS: PCS burden following mTBI peaked in the acute phase postinjury but reduced significantly from 1 week to 1 month postinjury. Parents of children with mTBI reported more persistent PCSs up to 3 months postinjury than trauma controls, characterized mostly by behavioral and sleep-related symptoms. Subtle increases in problematic behaviors were observed from baseline (preinjury) to 1 month postinjury and persisted at 3 months postinjury; however, scores were not classified as clinically "at risk." CONCLUSIONS: A significant minority of young children experienced persistent PCS and problematic behavior following mTBI. Care must be taken when assessing PCS in younger children as method of PCS assessment may influence parental reporting.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".