Health-related quality of life and symptoms in patients with rituximab-refractory indolent non-Hodgkin lymphoma treated in the phase III GADOLIN study with obinutuzumab plus bendamustine versus bendamustine alone
Bibliographic record
Abstract
We present health-related quality of life (HRQoL) data from GADOLIN, comparing bendamustine (B) alone or combined with obinutuzumab (G-B) in rituximab-refractory indolent non-Hodgkin lymphoma patients. The Functional Assessment of Cancer Treatment-Lymphoma (FACT-Lym) questionnaire was administered on day 1 of cycles 1, 3, and 5 during treatment, at end of induction (EOI), bi-monthly for 2 years during maintenance/follow-up, and annually during extended follow-up until progression/death. Time to first ≥6-point worsening from baseline in the FACT-Lym trial outcome index (TOI) was estimated. Minimally important differences at individual subscale and total score level were used to define the proportion of patients reporting improvement on the FACT-Lym lymphoma-specific subscale (≥3 points), FACT-Lym TOI (≥6 points), and FACT-Lym total score (≥7 points). Overall, 396 patients were randomized. Analysis was conducted when 175 Independent Review Committee-assessed progression-free survival (PFS) events were observed. Questionnaire completion rates were generally balanced between arms at baseline, EOI, and final follow-up. Median time to ≥6-point worsening from baseline on the FACT-Lym TOI was 8.0 months in the G-B arm and 4.6 months in the B arm (HR 0.74; 95% CI 0.56-0.98). More G-B patients reported meaningful improvements on the FACT-Lym questionnaire subscales. Results were similar when follicular lymphoma patients were analyzed separately. The delayed time to worsening and greater proportion of patients reporting meaningful improvement in HRQoL in the G-B arm suggest that benefit in PFS is not at the expense of an increase in treatment-related toxicity that could lead to reduced HRQoL.
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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) | 0.000 | 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 | 0.000 | 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".