Longitudinal Health-Related Quality of Life Among Patients With High-Risk Pediatric Hodgkin Lymphoma Treated on the Children's Oncology Group AHOD 1331 Study
Bibliographic record
Abstract
PURPOSE There have been no previous longitudinal assessments of health-related quality of life (HRQoL) during treatment for pediatric Hodgkin lymphoma (HL). The addition of brentuximab vedotin (BV) to a multidrug chemotherapy backbone demonstrated superior efficacy to standard chemotherapy for patients with pediatric high-risk HL in the AHOD 1331 trial. However, the impact on HRQoL is unknown. PATIENTS AND METHODS After treatment random assignment, 268 participants older than 11 years were enrolled in a prespecified, longitudinal, patient-reported outcomes substudy. HRQoL was assessed using the seven-item Child Health Ratings Inventories (CHRIs)–Global scale before treatment (T1) and at cycle 2 (T2), cycle 5 (T3), and end of treatment (T4). A clinically meaningful increase in HRQoL was considered 7 points on the CHRIs-Global. Multivariable linear regression estimated associations between demographic/clinical variables and HRQoL at T1. Linear mixed models estimated changes in HRQoL across the treatment arm. RESULTS Participant characteristics were balanced by treatment arm. Ninety-three percent of participants completed the CHRIs at T1, 92% at T2, 89% at T3, and 77% at T4. At T1, female sex and fever ( P < .05) were each associated with worse HRQoL. By T2, participants in the BV arm experienced a statistically and clinically significant improvement in HRQoL (β = 7.3 [95% CI, 3.2 to 11.4]; P ≤ .001), which was greater than the change in the standard arm (difference in change β = 5.1 [95% CI, −0.2 to 10.3]; P = .057). The standard arm did not experience a statistically or clinically significant increase in HRQoL until T4 (β = 9.3 [95% CI, 4.7 to 11.5]; P < .001). CONCLUSION These data demonstrate successful collection of serial HRQoL from youth with high-risk pediatric HL and improvement in HRQoL over the course of initial therapy, sooner and to a greater extent in the group receiving the novel agent BV.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".