Denosumab treatment for refractory hypercalcemia in a hemodialysis patient with tertiary hyperparathyroidism
Bibliographic record
Abstract
The most appropriate surgical procedure for tertiary hyperparathyroidism is still controversial. Medical management may be considered in those patients with failed previous surgical intervention. There are limited medical options for tertiary hyperparathyroidism with renal dysfunction. The monoclonal antibody denosumab has been used in patients with osteoporosis and hypercalcemia of malignancy. We report a case of medically refractory hypercalcemia caused by tertiary hyperparathyroidism treated with denosumab. A 46-year-old female was on hemodialysis for 10 years. She was diagnosed with tertiary hyperparathyroidism due to hypercalcemia with a high level of intact parathyroid hormone (iPTH, 1411 pg/ml). After right parathyroidectomy 6 weeks, her serum calcium remained persistently elevated (Ca, 3.17 mmoL/L). Denosumab (60 mg) was administered subcutaneously, and her serum calcium quickly decreased (from 3.43 to 2.04 mmoL/L within 8 days) and was slightly elevated (Ca, 2.8 mmoL/L) 3 months later. We conclude that denosumab has a significant effect on the reduction of serum calcium for tertiary hyperparathyroidism patients. The long-term treatment effect and safety warrant more studies in the future.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".