Quality of life (QoL) of patients with metastatic castration resistant prostate cancer (mCRPC) treated with cabazitaxel.
Bibliographic record
Abstract
e16088 Background: The effects of cabazitaxel on QoL, pain response and preference/utility data have not been well studied in men with CRPC treated post-docetaxel. As part of a single-arm multicenter Sanofi-funded Early Access Program (EAP) for cabazitaxel, QoL data were collected on Canadian patients. Methods: Between May 2011 and February 2012, 61 patients (pts) were enrolled at 9 centers. QoL was assessed at the start of each cycle using the FACT-P and its subscales, and the EQ 5D-3L. EQ 5D-3L health state index (HIS) data were converted into utility values (Canadian tariff, Bansback 2011). Present pain intensity (PPI) and analgesic scores were assessed using the McGill-Melzack questionnaire. Results: QoL data were evaluable in 55 pts. Baseline pt characteristics were: median age 65 years (range, 42-79), 92.7% of pts were ECOG PS 0 or 1, 87% had bone metastases, and 56% (31/55) received at least 6 cycles of cabazitaxel. Statistically significant changes from baseline in mean QoL scores were observed on FACT-P total score at cycle 2, and prostate cancer specific subscale (PCS) at cycles 1 to 4. As a measure of QoL response, increases were observed and maintained for > 2 consecutive cycles in 9% (>16 points) and 25% (≥10) of pts for FACT-P total score. Improvements to the level of Minimal Important Differences (MID) (Cella 2009) maintained for > 2 consecutive cycles were observed in 36% of pts for FACT-P total score (MID=6), 49% for PCS subscale (MID=2), and 26% for PCS-Pain subscale (MID=2), respectively. The percentage of pts reporting "no problem" in the EQ-5D pain/discomfort domain were above baseline levels at every cycle and improved from baseline to end of treatment from 19% to 29% (p < 0.05). Other EQ-5D dimensions (anxiety/depression, mobility, self-care and usual activities) remained stable over the course of treatment. Improvement from baseline in utility value (HIS) was observed at cycle 4 with a utility value of 0.769 (vs 0.713 at baseline). PPI scores improved despite stable analgesic use and were significantly different from baseline at cycles 2, 4 and 9. Conclusions: Data from this EAP suggest improvements in QoL, pain and prostate cancer specific symptoms with second-line cabazitaxel treatment. Clinical trial information: NCT01254279.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".