Risks, benefits, and approaches to hormonal blockade in prostate cancer. Highlights from the European Association of Urology Meeting, March 20-24, 2015, Madrid, Spain.
Bibliographic record
Abstract
Several abstracts presented at the 2015 European Association of Urology Meeting highlighted new developments in hormone therapy for prostate cancer management. One abstract described how the luteinizing hormone-releasing hormone (LHRH)/gonadotropin-releasing hormone (GnRH) agonist leuprolide, but not the LHRH/GnRH antagonist degarelix, induced plaque instability in a mouse model. A second abstract showed that in patients with a history of severe cardiovascular disease, degarelix was associated with fewer cardiovascular events than treatment with an LHRH agonist. A third abstract showed how primary androgen-deprivation therapy was linked with increased all-cause mortality in a US registry. A fourth abstract showed that in the ANAMEN study, cognitive performance was not significantly affected by 6 months of treatment with GnRH agonists. Last, a fifth abstract showed that low-dose prednisone, with or without abiraterone, was associated with an overall low incidence of corticosteroid-associated adverse events.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".