Health-related Quality of Life in Long-term Survivors of Brain Tumors in Childhood and Adolescence
Bibliographic record
Abstract
Survivors of brain tumors in childhood experience adverse sequelae that are greater in prevalence and severity than those encountered by survivors of all other forms of cancer in early life, reflected in a burden of morbidity by instruments measuring health-related quality of life (HRQL). However, there are few studies of the change in HRQL over time in such populations. Patients who were above 5 years of age, at least 2 years from completion of therapy, and able to communicate in English were eligible for study of HRQL by the Health Utilities Index HUI2 and HUI3 at study entry, and again 5 and 10 years later. An initial cohort of 40 patients was reduced to 37 and 25 at the second and third time points, respectively, although only 1 death occurred during the study. HRQL showed a progressive decline over the decade, reaching conventional levels of clinical significance for the sizes of the changes. Median scores for HUI2 were 0.93, 0.90, and 0.88; and for HUI3 were 0.88, 0.85, and 0.77 at baseline, 5, and 10 years, respectively. The serial decline in HRQL demands further examination and an exploration of potential targets for therapeutic intervention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".