Health Status and Health-related Quality of Life Measurement in Pediatric Cancer Clinical Trials: An Examination of the DFCI 00-01 Acute Lymphoblastic Leukemia Protocol
Bibliographic record
Abstract
Health-related quality of life (HRQL) improved progressively during therapy and beyond in children treated for acute lymphoblastic leukemia on the Dana-Farber Cancer Institute (DFCI) 95-01 protocol. This study aimed to validate that trajectory in a successor study (DFCI 00-01) and to compare the HRQL of patients in the 2 studies. Children aged above 5 years were assessed during each phase of treatment (N=4) and 2 years after completion of therapy. Health status and HRQL were measured using Health Utilities Index (HUI) instruments, HUI2 and HUI3. Quality-adjusted life years (QALYs) were calculated and compared with the general population, and patients treated on DFCI 95-01. Over 5 intervals and 758 HUI assessments, mean HRQL increased progressively from remission induction to the time after treatment (P<0.001). During intensification, high-risk patients had lower HRQL than standard-risk patients (P<0.001). During remission induction, patients on DFCI 95-01 had lower HRQL than patients on DFCI 00-01. Patients on DFCI 00-01 had ~0.2 and 0.3 fewer QALYs than controls, measured by HUI2 and HUI3, respectively. QALYs for DFCI 00-01 patients during treatment were similar to those for DFCI 95-01 patients. The trajectory of improvement in HRQL during the treatment of acute lymphoblastic leukemia in children was confirmed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.159 | 0.136 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".