Longitudinal trajectories of posttraumatic headache after pediatric mild traumatic brain injury
Bibliographic record
Abstract
Objective This prospective, longitudinal cohort study examined the trajectory, classification, and features of posttraumatic headache after pediatric mild traumatic brain injury. Methods Children ( N = 213; ages 8.00 to 16.99 years) were recruited from two pediatric emergency departments <24 hours of sustaining a mild traumatic brain injury or mild orthopedic injury. At 10 days, three months, and six months postinjury, parents completed a standardized questionnaire that was used to classify premorbid and posttraumatic headache as migraine, tension-type headache, or not otherwise classified. Multilevel mixed effects models were used to examine posttraumatic headache rate, severity, frequency, and duration in relation to group, time postinjury, and premorbid headache, controlling for age, sex, and site. Results PTH risk was greater after mild traumatic brain injury than mild orthopedic injury at 10 days (odds ratio = 197.41, p < .001) and three months postinjury (odds ratio = 3.50, p = .030), especially in children without premorbid headache. Posttraumatic headache was more frequent after mild traumatic brain injury than mild orthopedic injury, β (95% confidence interval) = 0.80 (0.05, 1.55). Groups did not differ in other examined headache features and classification any time postinjury. Conclusions Posttraumatic headache risk increases after mild traumatic brain injury relative to mild orthopedic injury for approximately three months postinjury, but is not clearly associated with a distinct phenotype.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".