Late Effects of Childhood Cancer, Participation, and Quality of Life of Adolescents
Bibliographic record
Abstract
This study investigated the late effects of childhood cancer on participation and quality of life. Ninety-two percent of survivors (9 to 18 years of age) reported living with late effects of lower extremity pain and numbness, memory and attention deficits, and fatigue, depression, or both. Semistructured interviews with 25 survivors using the Canadian Occupational Performance Measure and the Adolescent Activity Card Sort captured frequencies, interests, and barriers for a range of activities. Survivors reported diminished engagement in vigorous leisure activities, chores, and community activities. Lower engagement in social activities was correlated with lower quality of life scores, as measured by the Pediatric Cancer Quality of Life Inventory-32. Despite these findings of significant cognitive and physical problems, none of the 25 survivors had individualized education programs in school, nor were any receiving occupational therapy at the time the survey was completed. The findings emphasize the importance of advocacy for occupational therapy services for survivors of childhood cancer and examination of adolescent survivor participation in, and goals for, typical activities.
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 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".