Pediatric sibling donor bone marrow transplant: Assessing distress in donors and family members
Bibliographic record
Abstract
e20625 Background: When a child is diagnosed with cancer, the entire family is affected. In qualitative studies, 28–81% of siblings of children with cancer display behavioral maladjustment. Quantitative studies show similar findings, documenting up to a three-fold increase in clinically significant behavioral problems among siblings of children with cancer. Methods: In order to better understand sibling distress we conducted 3–4 interviews using grounded theory methodology (a qualitative strategy to explore common themes and develop theory) with each family member over 9 years old of 7 families with a child undergoing a sibling donor bone marrow transplant for cancer or sickle cell anemia. Participants also completed standardized scales related to coping. Results: Of the 29 subjects interviewed, 6 were African American, 4 Hispanic and 19 white. Six parents had at least a college degree and income was evenly distributed from $5,000 to >$80,000 a year. Children, including 4 patients, 6 donor siblings and 5 other siblings, ranged in age from 9 to 18. Based on the grounded theory analysis of each interview, we theorize that siblings experience less distress if the parents share the patient care giving. Our data support this hypothesis, with analysis of interviews indicating improved coping in families that shared care giving for the transplant recipient, and increased distress in families in which all the patient care giving was performed by the mother, a commonly used strategy. Conclusion: In order to potentially facilitate increased family functioning and decrease caregiver burden, parents should be encouraged to share care giving when feasible. Our study shows that systematic interviews can explore the family experience of pediatric transplantation and allow development of improved support systems for families of children undergoing sibling donor bone marrow transplantation. No significant financial relationships to disclose.
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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 | 0.003 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".