Denosumab for the prevention of symptomatic skeletal events in patients with castration-resistant advanced prostate cancer: A comparison with skeletal-related events.
Bibliographic record
Abstract
35 Background: In a randomized controlled trial of men with castration-resistant prostate cancer (CRPC) and bone metastases, denosumab was superior to zoledronic acid (ZA) for reducing skeletal-related events (SRE, defined as pathological fracture, surgery or radiation to bone [including the use of radioisotopes], or spinal cord compression) (Fizazi, et al. Lancet 2011;377:813-822.). Recently, the composite endpoint of symptomatic skeletal event (SSE, defined as symptomatic fracture, surgery or radiation to bone, or spinal cord compression) was introduced as an alternative term/clinical trial endpoint to describe skeletal morbidity. Methods: Men with CRPC, ≥ 1 bone metastasis, and no prior IV bisphosphonate use received either SC denosumab 120 mg or IV ZA 4 mg (adjusted for creatinine clearance) in a blinded fashion every 4 weeks. Oral calcium and vitamin D supplements were recommended. SSEs included pathologic fractures considered symptomatic by the investigator, spinal cord compression and surgery and radiation to bone. Results: As previously reported, fewer men who received denosumab than ZA had confirmed first SREs, and experienced multiple SREs (Table). Similarly, fewer patients in the denosumab group than the ZA group had confirmed first SSE and multiple SSEs. The median (95% CI) estimate of time to first SSE (superiority analysis) for denosumab was not reached (28.8 mo, not estimable), and for ZA it was 24.2 (20.7, 30.2) mo (HR = 0.78 (0.66, 0.93) P = 0.01). Conclusions: Denosumab reduced the risk of skeletal events in men with CRPC regardless of endpoint definition as SRE or SSE. The risk of developing SSEs was reduced by up to 22% when comparing denosumab with ZA. Clinical trial information: NCT00321620. [Table: see text]
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".