SGNDV-001: disitamab vedotin with pembrolizumab in HER2-expressing locally advanced or metastatic urothelial carcinoma
Bibliographic record
Abstract
INTRODUCTION: Platinum-based chemotherapy for the treatment of locally advanced or metastatic urothelial carcinoma (la/mUC), has been the first-line standard of care for many decades. Enfortumab vedotin, an antibody-drug conjugate, combined with pembrolizumab, a programmed death 1 (PD-1) inhibitor, recently demonstrated improved efficacy versus chemotherapy in la/mUC. Since 60%-80% of patients with UC have tumors expressing human epidermal growth factor receptor 2 (HER2), HER2-directed vedotin-based antibody-drug conjugates may also be beneficial in la/mUC. PATIENTS AND METHODS: The phase 3 trial SGNDV-001 (C5731001; NCT05911295) is evaluating disitamab vedotin (HER2-directed antibody-drug conjugate) with pembrolizumab compared with chemotherapy in treatment-naive patients with HER2-expressing la/mUC. Dual primary endpoints are progression-free survival (per blinded independent central review) and overall survival. Potential synergistic effects of disitamab vedotin and pembrolizumab could establish this combination as a novel therapeutic option for HER2-expressing la/mUC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".