Resilience in Children Undergoing Stem Cell Transplantation: Results of a Complementary Intervention Trial
Bibliographic record
Abstract
BACKGROUND: Children undergoing stem cell transplantation (SCT) are thought to be at risk for increased distress, adjustment difficulties, and impaired health-related quality of life (HRQL). We report results of a multisite trial designed to improve psychological adjustment and HRQL in children undergoing SCT. METHODS: A total of 171 patients and parents from 4 sites were randomized to receive a child-targeted intervention; a child and parent intervention; or standard care. The child intervention included massage and humor therapy; the parent intervention included massage and relaxation/imagery. Outcomes included symptoms of depression and posttraumatic stress, HRQL, and benefit finding. Assessments were conducted by patient and parent report at admission and SCT week+24. RESULTS: Across the sample, significant improvements were seen on all outcomes from admission to week+24. Surprisingly, patients who had SCT reported low levels of adjustment difficulties at admission, and improved to normative or better than average levels of adjustment and HRQL at week+24. Benefit finding was high at admission and increased at week+24; however, there were no statistically significant differences between intervention arms for any of the measures. CONCLUSIONS: Although the results do not support the benefits of these complementary interventions in pediatric SCT, this may be explained by the remarkably positive overall adjustment seen in this sample. Improvements in supportive care, and a tendency for patients to find benefit in the SCT experience, serve to promote positive outcomes in children undergoing this procedure, who appear particularly resilient to the challenge.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".