Evidence for the efficacy of enzalutamide in postchemotherapy metastatic castrate-resistant prostate cancer
Bibliographic record
Abstract
The treatment of metastatic castrate-resistant prostate cancer (mCRPC) has evolved rapidly with the recent approval of a number of treatments and agents, including docetaxel, sipuleucel T, abiraterone, cabazitaxel, and enzalutamide. Enzalutamide (previously MDV-3100) is a novel oral androgen receptor inhibitor that targets multiple steps in the androgen receptor signaling pathway. The randomized phase III AFFIRM study demonstrated significant improvements in a number of efficacy endpoints, including the primary endpoint of overall survival and secondary endpoints of progression-free survival, and time to prostate-specific antigen progression in patients with progressive mCRPC who had received prior treatment with docetaxel. Enzalutamide was well tolerated and there were comparable incidences of grade 3 or greater adverse events reported for the enzalutamide and placebo control arms in AFFIRM. Unlike some other treatments for mCRPC, enzalutamide does not require administration with steroids. The ongoing randomized phase III PREVAIL trial will investigate the efficacy and safety of enzalutamide in chemotherapy-naïve patients with mCRPC. Additional trials are investigating the use of enzalutamide in a number of disease settings.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".