Quality-of-life after brain injury in childhood: Time, not severity, is the significant factor
Bibliographic record
Abstract
OBJECTIVE: Little is known about the impact of acquired brain injury (ABI) on the long-term quality-of-life (QoL) in children and youth. The objectives of this study were to illustrate the long-term QoL trajectories at 5 years post-ABI. METHODS: The QoL of children between 5-18 years (n = 94) admitted to McMaster Children's Hospital with ABI were assessed longitudinally for a minimum of 5 years post-injury using the Child Health Questionnaire. Independent t-tests were used to examine differences in QoL between the study cohort and a normative sample at different time points. Mixed-effects models were used to identify predictors for QoL. RESULTS: The QoL of children with ABI was significantly poorer (p < 0.05) than the normative data on all domains and at all-time points except at baseline. The CHQ physical summary score (PHSS) showed a significant decline immediately after injury and a significant recovery at 8 months post-injury; while the CHQ psychosocial summary score (PSSS) showed a significant immediate decline, which remained over the course of the study. Pre-morbid school record, time post-injury and mechanism of injury significantly predicted the CHQ PSSS. CONCLUSIONS: QoL is impacted by ABI regardless of severity. This impact is further affected by time post-injury.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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; both teacher heads agree on what is shown here.
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".