Educational and social late effects of childhood cancer and related clinical, personal, and familial characteristics
Bibliographic record
Abstract
BACKGROUND: The objectives of this study were to compare educational and social outcomes for young survivors of childhood cancer with a population control group of individuals who were never diagnosed with cancer and to identify risk and protective factors for these outcomes. METHODS: In this multicenter, Canadian, retrospective cohort study, 800 survivors age 17 years or younger were matched by age and gender with a group of 923 control participants. Using a mailed survey that was completed by parents, educational outcomes were assessed with questions about the child's enrollment in disability or special-education programs, repeating a grade, and academic or other school problems. Using friendships was the measure of social outcomes. RESULTS: Based on parental reports, significantly more survivors than controls repeated a grade (21% vs. 9%), attended learning-disability (19% vs. 7%) or special-education programs (20% vs. 8%), had educational or other school problems (46% vs. 23%), had no close friends (19% vs. 8%), and were less likely to use friends as confidants (58% vs. 67%). Survivors of central nervous system (CNS) tumors reportedly were more likely than controls to have educational problems and no close friends, followed by survivors of leukemia, and survivors of neuroblastoma. Among survivors, cranial radiation increased the likelihood of having educational difficulties and having no close friends compared with survivors who did not receive cranial radiation. Survivors who reportedly had high self-esteem and whose parents had postsecondary education had fewer educational and social problems. CONCLUSIONS: Children and adolescents who survived cancer, particularly those who had CNS tumors, leukemia, and neuroblastoma, required close monitoring for early educational and social difficulties, and such children should be offered educational rehabilitation and social skills training to maximize their academic and social success.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".