Improvement of fatigue, physical functioning, and well-being among patients with severe impairment at baseline receiving ibrutinib in combination with bendamustine and rituximab for relapsed chronic lymphocytic leukemia/small lymphocytic lymphoma in the HELIOS study
Bibliographic record
Abstract
Health-related quality of life (HRQoL) is an important endpoint, especially in clinical trials for malignancies with a long course of disease, such as chronic lymphocytic leukemia (CLL). Patient-reported outcomes were examined in the randomized, double-blind, placebo-controlled HELIOS study to assess the impact of treatment with the Bruton's tyrosine kinase inhibitor ibrutinib, added to bendamustine plus rituximab (BR) background therapy. Measures included FACIT-Fatigue, EORTC QLQ-C30, QLQ-CLL16, and EQ-5D-5L. Of 578 patients enrolled, 540 (93%) provided FACIT-Fatigue responses at baseline. Most had only a moderate degree of impairment at baseline; mean values did not appear to change over time in either treatment arm, suggesting that adding ibrutinib to BR did not impact health-related quality of life. However, post-hoc analyses showed that subgroups of patients with the worst fatigue, physical functional status, and well-being at baseline had greater improvements in these outcomes with ibrutinib plus BR treatment versus placebo.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".