Atezolizumab (atezo) + platinum/gemcitabine (plt/gem) vs placebo + plt/gem for first-line (1L) treatment (tx) of locally advanced or metastatic urothelial carcinoma (mUC): Final OS from the randomized Phase 3 IMvigor130 study.
Bibliographic record
Abstract
LBA440 Background: The IMvigor130 primary analysis demonstrated statistically significant PFS benefit with 1L atezo + plt/gem (Arm A) vs placebo + plt/gem (Arm C) in pts with mUC (Galsky Lancet 2020). Interim data showed improved OS with Arm A vs C but did not cross the pre-specified threshold for significance (Galsky Lancet 2020; Galsky AACR 2021). In exploratory analyses, OS improved when atezo was combined with cisplatin (cis) vs carboplatin (carbo) regardless of PD-L1 status. Here, we report final OS data from Arms A and C. Methods: Pts were randomly assigned 1:1:1 to Arm A, B (atezo alone) or C. Arm A and C pts received cis or carbo per investigator (INV) choice. Co-primary endpoints were PFS per INV RECIST 1.1 and OS (Arm A vs C), and OS (Arm B vs C), tested hierarchically. Safety, ORR and DOR, disease control rate (DCR; confirmed CR, PR or [SD ≥ 6 mo]) and pre-specified exploratory OS data are also reported. Results: As of data cutoff Aug 31, 2022 (49 mo since last pt randomly assigned), in ITT pts, OS benefit was not statistically significant; in the cis subgroup, HR was 0.76 (95% CI 0.57, 1.01; Table). In ITT pts, DCR was 65% (290/447) in Arm A and 60% (239/397) in Arm C. 81% of safety-evaluable pts (370/454) in Arm A and 80% (312/389) in Arm C had a Gr 3/4 tx-related AE (TRAE). Gr 5 TRAEs occurred in 9 pts (2%) in Arm A and 4 (1%) in Arm C; Gr 3/4 AEs of special interest were seen in 41 pts (9%) in Arm A and 17 (4%) in Arm C. Conclusions: In this final analysis, improved OS with atezo + plt/gem vs placebo + plt/gem did not reach statistical significance in ITT pts with mUC. As seen with prior exploratory data, improved OS with atezo + plt/gem was greater when pts received cis vs carbo. No new safety signals were seen. Clinical trial information: NCT02807636 . [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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".