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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".