Previous Head Injury Is a Risk Factor for Subsequent Head Injury in Children: A Longitudinal Cohort Study
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to determine whether children who sought care for a head injury were at greater risk of having a subsequent head injury within the following 6 and 12 months compared with children who sought care for an injury other than to the head. DESIGN/SETTING: This was a longitudinal cohort study conducted in the emergency departments of 2 Montreal (Quebec, Canada) pediatric hospitals. PARTICIPANTS: The parents of 11,867 injured children aged 1 to 18 years were interviewed by telephone at 6 (n = 10,315) and 12 (n = 9486) months after their child's injury to ascertain outcome (ie, subsequent head injury) and to provide information on potential risk factors (age, gender, chronic medical condition, activity level, and socioeconomic status). MAIN OUTCOME MEASURE: The outcome of interest was a head injury requiring medical attention within the following year ascertained by parental recall or physician claims data. RESULTS: A total of 245 and 386 previously head-injured children sustained a subsequent head injury within 6 and 12 months, respectively. Children who sought care for an initial head injury (n = 3599) were at higher risk of having a subsequent head injury within 6 months than children who sought care for an injury not to the head (n = 6716). The adjusted odds ratio suggested weak confounding by age, gender, and history of previous head injury. Results were consistent on the basis of physician claims data and 12-month follow-up interview data. CONCLUSIONS: These results provide evidence that having a head injury increases a child's risk of having a subsequent head injury. Although age, gender, and history of previous head injury confound the relationship, the effect remains substantial.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".