Denosumab and zoledronic acid treatment in patients with genitourinary cancers and bone metastases.
Bibliographic record
Abstract
5079 Background: Phase III trial results showed that denosumab is superior to zoledronic acid (ZA) in preventing skeletal-related events (SREs) in patients with cancer and metastatic bone disease (Lipton et al; 2012, Eur J Cancer). Genitourinary (GU) cancers are some of the most commonly diagnosed cancers worldwide. We now compare the efficacy and safety of denosumab (DMAb) or ZA in a subgroup analysis of patients with GU cancers enrolled in the pivotal phase III trials. Methods: Patients were randomized 1:1 to receive DMAb (120 mg, SC) or ZA (4 mg, IV, adjusted for renal function) every 4 weeks. Daily calcium and vitamin D supplements were strongly recommended. Time to 1st on-study SRE, using a Cox proportional hazards model, time to 1st and subsequent on-study SRE, using the Anderson-Gill model, and safety were evaluated for the GU subgroup in an ad hoc analysis. Results: 2,128 patients (1,052 DMAb; 1,076 ZA) had GU cancers (prostate = 1,901, renal = 155, bladder = 63, and transitional cell = 9). DMAb significantly delayed the time to 1st on-study SRE by 4.0 months compared with ZA (20.7 months vs 16.7 months) in patients with GU cancers (Table). DMAb also significantly delayed the time to 1st and subsequent on-study SRE. Time to disease progression and overall survival were similar between treatment groups. Adverse events (AEs) and serious AEs were reported by similar percentages of patients in both groups (AEs: 96.9% denosumab, 96.8% ZA; serious AEs: 62.8% denosumab, 60.2% ZA). 14.6% of DMAb pts and 15.9% of ZA pts had a renal AE. Hypocalcemia was reported for 12.9% of DMAb patients and 6.2% of ZA patients. There was no significant difference in the incidence of positively adjudicated osteonecrosis of the jaw between the DMAb (2.2%) and ZA (1.6%) groups (p=0.34). Conclusions: Among patients with GU cancers and metastatic bone disease, DMAb was superior to ZA in preventing SREs. Clinical trial information: NCT00330759 and NCT00321620. [Table: see text]
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".