Quality of Life and Symptoms in Pediatric Brain Tumor Survivors
Bibliographic record
Abstract
Little is known about the quality of life of children and youth under the age of 20 who have completed treatment for a pediatric brain tumor. This systematic review was conducted to (a) describe the health-related quality of life (HRQL) outcomes in pediatric brain tumor survivors, (b) identify instruments used to measure HRQL, and (c) determine the relationship between symptoms and HRQL. Using a systematic search and review methodology, databases searched included CINAHL, Medline, Embase, and PsycInfo. No date restrictions were used. Search results elicited 485 articles, of which16 met the inclusion criteria. Compared with their healthy peers, pediatric brain tumor survivors did worse on most measures of physical, psychosocial, social, and cognitive domains of HRQL. Compared with other cancer patients, survivors scored themselves significantly lower on the Pediatric Quality of Life Inventory (PedsQL) social functioning scale, and parents of brain tumor survivors reported lower PedsQL social and total functioning scores for their children. Other variables that were associated with decreased HRQL were degree of hypothalamic tumor involvement, osteopenia, need for special education, older age at diagnosis, greater than 1 year since treatment, and radiation treatment. In these studies, pediatric brain tumor survivors fared worse compared with other cancer survivors or healthy peers on several HRQL domains. Only 3 studies explored the relationship between symptoms, including pain or fatigue, and HRQL in pediatric brain tumor survivors. The relationship between symptoms and HRQL was not well elucidated. More research is needed to explore the multidimensional symptom experience and HRQL outcomes in pediatric brain tumor survivors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".