Outcomes of second targeted therapy in metastatic renal carcinoma: A retrospective chart review in the EU.
Bibliographic record
Abstract
558 Background: This study describes the real-world outcomes of metastatic renal cell carcinoma (mRCC) patients treated with everolimus (EVE), sorafenib (SOR), and axitinib (AXI) as 2nd targeted therapy in the UK, Germany, and France. Methods: A retrospective chart review was conducted among oncologists and urologists in the UK, Germany and France. Charts were reviewed for adult mRCC patients satisfying the following eligibility criteria: 1) experienced disease progression on 1st targeted therapy with sunitinib or pazopanib; 2) initiated 2nd targeted therapy with EVE, AXI, or SOR between 10/2012 and 6/2013. Kaplan-Meier analysis was used to estimate overall survival (OS) after initiation of 2nd targeted therapy among all patients and stratified by type of 2nd targeted therapy. Results: A total of 281 charts were reviewed, with 99, 91, and 91 mRCC patients receiving EVE, AXI, and SOR as 2nd targeted therapy, respectively. Mean age was 60.6 years old at initial mRCC diagnosis and 65.5% were male. The majority of patients used sunitinib (79.4%), with the rest using pazopanib (20.6%) as 1st targeted therapy. Median duration of 1st targeted therapy was 9.7 months. At the initiation of 2nd targeted therapy, 91.8% of patients had an ECOG score ≤ 2. The most common sites of metastases were lung (71.2%), bone (53.0%), and lymph nodes (47.0%). Median OS from the initiation of 2nd targeted therapy among all patients was 21.8 months (95% CI: 16.5-26.2). The median OS was 23.0, 23.5, and 18.7 for EVE, AXI, and SOR respectively. The majority of patients (87.5%) initiated 2nd targeted therapy on the recommended dose. Patients receiving AXI had a higher rate of dose increase (13.2%), compared to EVE (1.0%) and SOR (0.0%), while patients on EVE had a higher rate of dose decrease (12.1%), compared to AXI (5.5%) and SOR (8.8%). Conclusions: In this retrospective chart review study of several EU countries, the observed median OS was numerically comparable for EVE and AXI, but rates of dose adjustment differed by treatments. Retrospective chart reviews may be subject to selection bias and errors in data entry, and further analysis is underway to address confounding effects of unobserved patient characteristics.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".