Avelumab first-line maintenance (1LM) for advanced urothelial carcinoma (aUC): Long-term patient-reported outcomes (PROs) in the phase 3 JAVELIN Bladder 100 trial.
Bibliographic record
Abstract
581 Background: In the JAVELIN Bladder 100 trial, avelumab 1LM + best supportive care (BSC) significantly prolonged overall survival vs BSC alone in patients (pts) with aUC that had not progressed with 1L platinum-based induction chemotherapy, and health-related quality of life was maintained. We report long-term and exploratory PRO analyses in the overall avelumab + BSC arm (any treatment duration) and in the subgroup with ≥12 months of avelumab treatment. Methods: In JAVELIN Bladder 100 (NCT02603432), PROs were a secondary endpoint assessed at baseline, on day 1 of each 4-week cycle, at end of treatment/withdrawal, and up to 90 days post treatment. PRO instruments used were National Comprehensive Cancer Network/Functional Assessment of Cancer Therapy Bladder Symptom Index-18 (FBlSI-18) and EuroQol 5 Dimensions 5 Levels (EQ-5D-5L). Descriptive and mixed-effect model analyses were conducted. Data were not evaluated in the BSC alone arm because few pts remained on study treatment at later time points. Results: At data cutoff (Jun 4, 2021), median follow-up in the avelumab arm (n=350) was 38.0 months (≥2 years in all pts), and median duration of treatment was 5.8 months. In pts treated for ≥12 months (n=118 [33.7%]), baseline characteristics were similar to those in the overall avelumab + BSC arm, except for a higher proportion with ECOG performance status of 0 (70.3% vs 60.9%) and lower proportion with visceral metastases (47.5% vs 54.6%). In both populations, completion rates for both PRO instruments among evaluable pts were >80% at all time points during treatment. On average, PRO scores remained stable throughout treatment, and no clinically relevant changes from baseline were reported (Table). Among pts treated for ≥12 months, ≈75% of evaluable pts reported no change or a decrease in being bothered by treatment side effects throughout 24 months of treatment. Conclusions: Prolonged avelumab 1LM treatment (≥12 months) was associated with stable PROs, indicating preservation in quality of life. The results further support the use of avelumab 1LM until progression or unacceptable toxicity as standard of care with level 1 evidence in pts with aUC who are progression-free after platinum-based chemotherapy. Clinical trial information: NCT02603432 . [Table: see text]
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".