Impact of baseline prognostic factors on progression-free survival at 6 months (PFS6) and response in patients receiving second-line therapy for advanced urothelial carcinoma (UC).
Bibliographic record
Abstract
301 Background: PFS6 was identified to be a robust intermediate endpoint in the setting of second-line therapy for advanced UC (Sonpavde, ESMO Congress, 2012) We studied the impact of second-line prognostic factors (Sonpavde, ESMO Congress 2012) (liver metastasis [LM], anemia [Hb<10 g/dl], ECOG-performance status [PS] ≥1, time from prior chemotherapy [TFPC]) on PFS6 and response rate (RR) to enable comparison of outcomes across phase II trials. Methods: Twelve phase II trials evaluating second-line chemotherapy and/or biologics (n=748) in patients with progressive disease were pooled. PFS was defined as tumor progression or death from any cause. PFS6 was defined from the date of registration and calculated using the Kaplan-Meier method. Results: Data regarding progression, Hb, LM, PS and TFPC were available in 570 patients, who were considered evaluable. The mean age was 65.1 years, 45.3% had ECOG-PS ≥1, 30.2% had LM, 14.6% had anemia and TFPC was <6 months (mo) in 60.2%. The overall median PFS was 2.7 mo, PFS6 was 22.2% (95% CI: 18.8-25.9) and RR was 17.5% (95% CI: 14.5%-20.9%). PFS6 and RR varied significantly according to risk group (Table). For every unit increase in risk group, the hazard of progression in 6 mo increased by 41% and the odds of response decreased by 48%. Conclusions: PFS6 and RR vary as a function of prognostic factors in patients receiving second-line therapy for advanced UC. These data facilitate comparison of outcomes across phase II trials enrolling heterogeneous populations. [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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".