Health‐related quality of life of children and adolescents prior to hematopoietic progenitor cell transplantation: Diagnosis and age effects
Bibliographic record
Abstract
BACKGROUND: The health-related quality of life (HRQOL) may vary among children before undergoing hematopoietic progenitor cell transplantation (HPCT). This study examined the HRQOL of children scheduled for HPCT, the effects of diagnosis and age on HRQOL, and the convergent validity of one generic and two disease-specific measures of HRQOL. PROCEDURE: The sample consisted of 111 children (mean age = 10.4 years) diagnosed with acute lymphoblastic leukemia (ALL; 22%), other leukemias (26%), neuroblastoma (19%), other solid tumors (18%), and hematologic disorders (15%). Convergence validity was tested with 67 children (mean age = 10.3 years) who had an equivalent distribution of diagnoses except for neuroblastoma (12%). The Child Health Questionnaire (CHQ), a generic measure, and the Pediatric Oncology Quality of Life Scale (POQOL) and the Play Performance Scale (PPS), disease-specific measures, were completed by one parent prior to HPCT. RESULTS: Compared to the norms for healthy children, the CHQ Physical summary scores for every diagnostic subgroup and the CHQ Psychosocial summary scores for ALL were poorer. Compared to the cancer norms for Total POQOL and PPS scores, scores for ALL and neuroblastoma were the poorest. These measures also revealed that adolescents' HRQOL was perceived to be worse than children's. Total POQOL scores showed strong convergent validity with CHQ Physical and Psychosocial scores and moderate convergent validity with the PPS scores. CONCLUSIONS: Based on parental reports, children treated for ALL and neuroblastoma appear to be at the greatest risk for poor HRQOL before undergoing HPCT, and adolescents seem to be more compromised than younger children, based on parental reports. The POQOL measure seems to be the best predictor of HRQOL. These results have clinical implications for the care of children undergoing HPCT.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".