Determinants of quality of life outcomes for survivors of pediatric brain tumors
Bibliographic record
Abstract
INTRODUCTION: To describe the quality of life (QOL) of pediatric brain tumor survivors (PBTSs) prospectively and to identify potential medical, personal and family contextual factors associated with QOL. METHODS: Ninety-one PBTSs (8-16 years) who were off treatment and attending a regular classroom participated. Self- and caregiver-proxy-reported on QOL at baseline, 2 and 8 months. At baseline, cognitive, executive function, attention and memory, medical and demographics information were attained. RESULTS: Significant improvements over time in PBTS's emotional QOL were self- and proxy-reported (P < 0.01) and global QOL proxy-reported (P = 0.04). Receiving cranial irradiation therapy (CIT) and poor behavioral regulation predicted poor global QOL scores reported by both informants (P < 0.017). Poor behavioral regulation also predicted poor self-reported school functioning, and poor proxy-reported emotional and social QOL (P < 0.037). Boys reported better emotional QOL (P = 0.029), and PBTSs over 11 years old were reported to have better emotion and school-related QOL. Finally, being non-White and having low income predicted poor self-reported global and emotional QOL (P = 0.041). CONCLUSIONS: Receiving CIT, having poor behavioral regulation, being a female, under 11 years old and coming from low-income, non-White families place PBTSs at risk for poor QOL.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".