Sorafenib tolerability in elderly patients with advanced renal cell carcinoma: results from a large pooled analysis
Bibliographic record
Abstract
BACKGROUND: Elderly patients tend to be underrepresented in renal cell carcinoma (RCC) clinical trials. The Sorafenib RCC Integrated Database includes data from six clinical trials and two expanded-access studies evaluating sorafenib monotherapy in >4600 patients with RCC. Using this database, sorafenib tolerability and treatment patterns were analysed according to age group (<55, 55-<65, 65-<75, or ≥ 75 years). METHODS: Dosing patterns, and incidence, prevalence and cumulative incidence of drug-related adverse events (DRAEs) and fatal DRAEs were assessed. RESULTS: Overall, 4684 patients were evaluable (<55 years, n=1126; 55-<65, n=1579; 65-<75, n=1382; ≥ 75, n=559). Treatment patterns were generally similar across subgroups, although sorafenib treatment duration was ∼30% shorter in the ≥ 75-years subgroup. There were no substantial differences in any-grade DRAEs with sorafenib between subgroups. Drug-related adverse events and dose modifications due to DRAEs tended to occur in months 0-3 and declined thereafter; there was no evidence of cumulative toxicity. Fatal DRAEs were rare (0.7% overall; 95% confidence interval, 0.5-1.0%). CONCLUSION: Sorafenib was well tolerated regardless of age in a heterogeneous population of RCC patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 teacher head, 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".