The role of bone-targeted therapies for prostate cancer in 2017
Bibliographic record
Abstract
PURPOSE OF REVIEW: Bone-targeted agents (BTAs), such as zoledronic acid and denosumab, delay the occurrence of skeletal-related events (SREs) in metastatic prostate cancer (PCa) patients. Recently, several agents, such as abiraterone acetate, enzalutamide and radium-223, were approved for the treatment of metastatic castration-resistant PCa (mCRPC). These agents resulted in improved overall survival (OS), pain control and had positive effects on bone health. Combining BTAs to the newly approved agents demonstrates additional benefits that warrant a review of available evidence looking at appropriate combination therapies and timing of BTAs for optimizing the management of advanced and metastatic PCa. RECENT FINDINGS: Post-hoc analyses of randomized trials demonstrated some benefits from combination therapy, such as increased OS when denosumab was used concurrently with radium-223 and when BTAs were used with abiraterone acetate. BTAs were not beneficial for the prevention of bone metastases. SUMMARY: There is a suggestion of synergy or additive effects between BTAs and new agents approved for the treatment of metastatic PCa, resulting in potential clinical benefits. Therefore, prospective randomized studies evaluating the safety and benefits of combination therapies to address gaps in the literature are needed to optimize treatment of mCRPC.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".