Family, demographic and illness‐related determinants of HRQL in children with brain tumours in the first year after diagnosis
Bibliographic record
Abstract
AIMS: To evaluate the relationship between parent- and child-report Health-Related Quality of Life (HRQL) and demographic, tumour and family variables in children with a brain tumour in the first year after diagnosis and to identify determinants of HRQL at 12 months. PROCEDURE: Longitudinal prospective study: Semi-structured interviews took place approximately 1, 6 and 12 months after diagnosis. HRQL was measured using the self- and parent-report PedsQL 4.0 Total Scale Score. Tumour and treatment variables considered included tumour site and grade, hydrocephalus at diagnosis, chemotherapy and radiotherapy. Family variables included measures of family function, family support and family stress, the primary carer's coping strategies and symptoms of depression and anxiety. Univariate analyses were used at all three time points, and to identify potential early predictors of HRQL at 1 year. Regression analysis was then used to identify the most important determinants of HRQL at 1 year. RESULTS: Thirty-five patients completed the 12-month interviews. There were consistent significant negative correlations between concurrent family impact of illness and parent and self-report HRQL, and positive correlations between concurrent family support and parent-report HRQL. Treatment with radio- or chemotherapy correlated with child-report HRQL only at some time points. Multivariate analysis showed infratentorial tumour site, and poor HRQL at 1 month best predicted poor self- and parent-report HRQL at 12 months. CONCLUSION: Children with infratentorial tumours and poor HRQL early after diagnosis tend to have poor HRQL at 1 year. While family factors are important modulators of concurrent HRQL, they do not appear important in predicting HRQL.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".