Social adjustment in adolescent survivors of pediatric central nervous system tumors: A report from the <scp>C</scp> hildhood <scp>C</scp> ancer <scp>S</scp> urvivor <scp>S</scp> tudy
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to examine the prevalence and predictors of social difficulties in adolescent survivors of central nervous system (CNS) tumors. METHODS: Six hundred sixty-five survivors of CNS tumors (53.8% male and 51.7% treated with cranial radiation therapy [CRT]), who had a current median age of 15.0 years (range, 2.0-17.0 years) and were a median of 12.1 years (range, 8.0-17.7 years) from their diagnosis, were compared with 1376 survivors of solid tumors (50.4% male), who had a median age of 15.0 years (range, 12.0-17.0 years) and were a median of 13.2 years (range, 8.3-17.9 years) from their diagnosis, and 726 siblings (52.2% male), who had a median age of 15.0 years (range, 12.0-17.0 years). Social adjustment was measured with parent-proxy responses to the Behavior Problems Index. Latent profile analysis defined social classes. Multinomial logistic regression, adjusted for age, sex, and age at diagnosis, identified predictors of class membership. Path analyses tested mediating effects of physical limitations, sensory loss, and cognitive impairment on social outcomes. RESULTS: Caregivers reported that survivors of CNS tumors were more likely to have 0 friends (15.3%) and to interact with friends less than once per week (41.0%) in comparison with survivors of solid tumors (2.9% and 13.6%, respectively) and siblings (2.3% and 8.7%, respectively). Latent profile analysis identified 3 social classes for survivors of CNS tumors: well-adjusted (53.4%), social deficits (16.2%), and poor peer relationships (30.4%). However, 2 classes were identified for survivors of solid tumors and siblings: well-adjusted (86.2% and 91.1%, respectively) and social deficits (13.8% and 8.9%, respectively). CRT predicted class membership for CNS survivors (odds ratio [OR] for poor peer relationships, 1.16/10 Gy; 95% confidence interval [CI], 1.08-1.25; OR for social deficits 1.14/10 Gy; 95% CI, 1.04-1.25; reference, well-adjusted). Cognitive impairment mediated the association between all social outcomes and CRT (P values < .001). CONCLUSION: Almost 50% of survivors of CNS tumors experience social difficulties; the pattern is unique in comparison with solid tumor and sibling groups. Cognitive impairment is associated with increased risk, and this highlights the need for multitargeted interventions.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".