Randomized Feasibility Study of De-escalated (Every 12 wk) Versus Standard (Every 3 to 4 wk) Intravenous Pamidronate in Women With Low-risk Bone Metastases From Breast Cancer
Bibliographic record
Abstract
OBJECTIVES: Despite substantial variability in individual risk of skeletal complications, patients with metastatic bone disease are treated with bisphosphonates at the same dose and dosing interval. This study assessed the feasibility of conducting a randomized trial of less frequent bisphosphonate administration in women with breast cancer and low-risk bone metastases. METHODS: A randomized feasibility study was conducted. Patients receiving intravenous bisphosphonates for ≥3 months and with low-risk baseline serum C-telopeptide (CTx) levels (<600 ng/L) were assigned to pamidronate 90 mg intravenously every 3 to 4 weeks (control) or every 12 weeks (de-escalated). CTx, bone alkaline phosphatase, and pain scores (Brief Pain Inventory and Functional Assessment of Cancer Therapy-Bone Pain) were collected every 12 weeks for 48 weeks. RESULTS: Fifty-four patients were approached, 44 consented, and 38 were randomized. Median age was 55 (range, 29 to 77) and median baseline CTx was 163 ng/L (range, 10 to 526). Fourteen control group participants (73.7%) and 13 de-escalated group participants (68.4%) maintained CTx in the low-risk range (P=0.64). All patients changing to higher-risk range had progressive extraskeletal disease. Compared with the control group, there was a time-dependent increase in CTx in the de-escalated group. There were no significant differences in bone alkaline phosphatase, Brief Pain Inventory, or Functional Assessment of Cancer Therapy-Bone Pain. CONCLUSIONS: It is feasible to conduct randomized trials of de-escalated pamidronate in low-risk women treated with ≥3 months of prior bisphosphonate therapy. De-escalated scheduling satisfied our predefined definition of noninferiority compared with 3- to 4-weekly treatment. Larger trials should assess whether increasing CTx levels with de-escalated therapy lead to higher rates of skeletal complications.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".