A randomised trial comparing 6-monthly adjuvant zoledronate with a single one-time dose in patients with early breast cancer
Bibliographic record
Abstract
PURPOSE: While adjuvant bisphosphonate use in early breast cancer (EBC) is associated with improvements in breast cancer-specific outcomes, questions remain around optimal bisphosphonate type, dose and scheduling. We evaluated a single zoledronate infusion in a prospective randomised trial. METHODS: Postmenopausal patients with EBC were randomised to receive a single infusion of zoledronate (4 mg IV) or 6-monthly treatment for 3 years. Outcomes measured were; Quality of Life (QoL; EQ-5D-5L), bisphosphonate-related toxicities, including acute phase reactions (APRs), recurrence-free survival (RFS), bone metastasis-free survival (BMFS) and overall survival (OS). RESULTS: 211 patients were randomized to either a single infusion (n = 107) or six-monthly treatment (n = 104). After 3 years of follow up there were no significant differences between the arms for QoL and most toxicity endpoints. APRs following zoledronate occurred in 81% (171/211) of patients (77.6% in single infusion arm and 84.6% in the 6-monthly group). While the frequency of APRs decreased over 3 years in the 6-monthly arm, they still remain common. Of 34/104 (32.7%) patients who discontinued zoledronate early in the 6-monthly treatment group, the most common reason was APRs (16/34, 47%). At the 3 year follow up, there were no differences between arms for RFS, BMFS or OS. CONCLUSION: A single infusion of zoledronate was associated with increased patient convenience, less toxicity, and lower rates of treatment discontinuation. Despite the common clinical impression that APRs decrease with time, this was not observed when patients were specifically questioned. While the study is not powered for non-inferiority, longer-term follow-up for confirmation of RFS and OS rates is ongoing.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".