Real-World Treatment Patterns, Sequencing, and Outcomes in Patients with Locally Advanced or Metastatic Urothelial Carcinoma Receiving Avelumab First-Line Maintenance in the United States
Bibliographic record
Abstract
For patients with locally advanced/metastatic urothelial carcinoma (la/mUC), first-line (1L) treatment with platinum-based chemotherapy (PBC) followed by avelumab 1L maintenance (1LM) is a recommended therapy per treatment guidelines in patients without disease progression. However, contemporary real-world (rw) data among patients receiving this treatment are necessary to understand clinical outcomes and optimal treatment sequencing. This retrospective cohort study analyzed rw treatment patterns and clinical outcomes, including overall survival (rwOS) and progression-free survival (rwPFS), in patients with la/mUC receiving avelumab 1LM. From the Flatiron Health database, 214 patients who received avelumab 1LM following 1L PBC were included. From the start of avelumab 1LM, median rwOS was 23.8 months (95% CI: 18.2-not estimable [NE]) and median rwPFS was 5.1 months (95% CI: 4.1-7.0). A total of 96 patients received second-line (2L) therapy, with 53 receiving enfortumab vedotin (EV). From the start of 2L EV, median rwOS was 11.2 months (95% CI: 6.8-NE) and median rwPFS was 4.9 months (95% CI: 3.9-8.8). Treatment patterns and clinical outcomes in this study align with guidelines and outcomes observed in the JAVELIN Bladder 100 and EV-301 clinical trials and other rw studies, supporting the use of 1L PBC followed by avelumab 1LM and 2L EV for eligible patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".