Sorafenib for Metastatic Renal Cancer
Bibliographic record
Abstract
OBJECTIVE: Sorafenib, an oral multikinase inhibitor, prolonged progression-free survival when compared with placebo, as second-line therapy for patients with metastatic renal carcinoma (MRC). Grade 3/4 adverse events were reported in 12% of patients. This study presents sorafenib's efficacy and safety in a less selected cohort of patients enrolled in an expanded access program. METHODS: Patients with MRC received sorafenib 400 mg twice daily until disease progression. Tumor response was evaluated by RECIST criteria. Adverse events were graded by NCI common toxicity criteria. RESULTS: From November 2005 to August 2006, 58 patients were enrolled. The median progression-free survival was 7.5 months (95% CI: 5.4-11.3), and the best responses among 54 patients were 11 (20%) confirmed partial responses, 15 (28%) stable diseases for > or =6 months; 10 patients (18%) had early progression at 8 weeks. Grade 3/4 adverse events occurred in 37 patients (64%; 95% CI: 50%-76%), the most frequent being skin rash in 17 patients (29%), and hand-foot syndrome in 9 patients (15%). Thirty-six (62%) patients required dose reductions and/or treatment interruptions. CONCLUSIONS: Sorafenib is effective in a less selected patient population with MRC but leads to more toxicity than described previously.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".