Zoledronic Acid and Survival in Breast Cancer Patients with Bone Metastases and Elevated Markers of Osteoclast Activity
Bibliographic record
Abstract
OBJECTIVE: Most breast cancer patients with bone metastases will receive bisphosphonate treatment. This post hoc analysis investigated whether early normalization of urinary N-telopeptide of type I collagen (NTX) levels during bisphosphonate therapy correlates with a long-term reduction in skeletal-related event (SRE) risk and mortality in patients with breast cancer. METHODS: This was a retrospective subset analysis of a phase III randomized trial comparing i.v. zoledronic acid with pamidronate treatment in patients with bone metastases from breast cancer or multiple myeloma. Patients with breast cancer who had NTX assessments at baseline and at months 1 and 3 (n = 342) were classified as normal (NTX < 64 nmol/mmol creatinine) or elevated (NTX > or = 64 nmol/mmol creatinine). The relative risk for an SRE or death was estimated with Cox regression models. RESULTS: Among the 328 evaluable patients treated with zoledronic acid, 196 patients (59.7%) had elevated baseline NTX, with 149 of those patients (76.0%) having normalized NTX levels and 31 patients (15.8%) having persistently elevated NTX levels at 3 months. The normalized NTX group had significantly lower risks for a first SRE, a first fracture or surgery to bone, or death than the group that had persistently elevated NTX levels. CONCLUSIONS: These results suggest that early normalization of elevated baseline NTX while receiving zoledronic acid is associated with longer event-free and overall survival times compared with persistently elevated NTX. Further analyses in cancer patients with elevated marker levels are warranted to confirm the implications of these findings.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".