Long-term quality of life in children treated for posterior fossa brain tumors
Bibliographic record
Abstract
OBJECT: In the face of increasing survival, quality of life (QOL) has become an important indicator of treatment success in children with posterior fossa brain tumors (PFBTs). The authors' objective was to assess the long-term QOL in survivors of PFBT. METHODS: The authors conducted a cross-sectional study of children who, between birth and age 18 years at diagnosis, had previously been treated at their institution for a PFBT. At the time of assessment for this study, children were between 5 and 19 years old and had received standard treatment for PFBT ending at least 6 months before the assessment. The QOL was measured with the Pediatric Quality of Life Inventory (PedsQL) generic score scales and the Health Utilities Index Mark 3 (HUI3). Multivariate analyses were used to assess several variables (patient related, treatment related, and socioeconomic) for association with QOL. RESULTS: A total of 62 children participated in the study (median age at assessment 11.9 years, interquartile range [IQR] 7.8-14.8, and median age at tumor diagnosis of 4.9 years, IQR 2.5-6.9). Median time since active treatment for their PFBT was 5.2 years (IQR 2.4-10.1). Tumor types included cerebellar pilocytic astrocytoma (45.2%), medulloblastoma (30.6%), ependymoma (11.3%), and brainstem astrocytoma (11.3%). Adjuvant therapy included chemotherapy (40.3%) or radiotherapy (14.5% focal and 21.0% craniospinal radiotherapy). Permanent treatment for hydrocephalus was required in 38.7% of the patients. Tumors recurred in 11.3%, requiring repeat treatment in these patients. The median HUI3 utility score was 0.91 (IQR 0.71-1.00) and the median PedsQL total score was 78.3 (IQR 64.1-92.4). Only the following variables were significantly associated with decreased QOL in multivariable model testing (all p < 0.05): need for permanent hydrocephalus treatment, large ventricle size, decreased family functioning, and lower family income. CONCLUSIONS: As a group, long-term survivors of pediatric PFBT appear to have QOL indicators that are similar to those of the general population, although a reasonable minority of patients experience poor outcomes. Although several confounding variables likely remain in this retrospective study, important associations with QOL include the presence of hydrocephalus and socioeconomic factors. The study sample size, however, was limited and the presence of other important factors cannot be excluded.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".