Altered calcium metabolism in patients on long-term bisphosphonate therapy for metastatic breast cancer.
Bibliographic record
Abstract
BACKGROUND: Bisphosphonates (BPs) are considered the standard of care in metastatic breast cancer (MBC) patients with bone metastases. Because the survival for these patients may be prolonged compared with those patients with visceral metastases, they may be prescribed BPs for several years. The effects of this long-term BP use on calcium metabolism in MBC patients have not previously been described. OBJECTIVES: The main objective of this study was to evaluate the effect of long-term BP use on calcium homeostasis in MBC patients. The secondary objective was to assess Vitamin D levels in these patients. MATERIALS AND METHODS: An exploratory analysis of serum calcium, parathyroid (PTH), and 25 hydroxycholecalsiferol (25-(OH)D) levels and their inter-relationships was undertaken in 46 MBC patients who had been on prolonged BP therapy. These results were compared to a historical control group of 420 patients without bone or mineral disease who were matched for gender, age, baseline renal function and season of seological testing. RESULTS: Patients were similar in the two groups with no significant difference in mean age, baseline creatinine or season of testing. Serum calcium was no different between the two groups. However, PTH was significantly higher in MBC patients, compared to controls (5.7 vs. 4.8 pmol/L, p=0.043). Linear regression analysis showed that PTH was significantly higher in the MBC group at lower serum calcium levels and fell sharply with increasing serum calcium levels (p=0.0001). Among the patients with MBC, 62% had suboptimal levels of vitamin D and 18% were found to have insufficient or deficient levels (25-(OH)D < 40 nM) despite taking dietary supplementation. CONCLUSION: In MBC patients with prolonged BP use, there appears to be a state of hyperparathyroidism similar to that seen with BP use in benign bone disease. Supplementation with 400 IU per day of Vitamin D per day was not sufficient to correct this metabolic abnormality.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".