Hypocalcemia After the Administration of Denosumab in a Patient With Osteoporotic Fracture and Vitamin D Deficiency
Bibliographic record
Abstract
Denosumab is a potent antiresorptive agent used for the treatment of osteoporosis and the prevention of skeletal-related events in patients with multiple myeloma or bone metastasis from solid tumors. Although denosumab generally seems to be safe and well tolerated, denosumab-associated hypocalcemia may occur, and the majority of cases are asymptomatic or mild. Underlying malignancy, renal failure, calcium or vitamin D deficiency, and high bone turnover have been reported as risk factors for hypocalcemia. Here, the author reports a case of hypocalcemia and hypophosphatemia following the administration of denosumab for the treatment of osteoporotic fracture in a patient with underlying but unrecognized severe vitamin D deficiency. Following the supplementation of calcium, vitamin D, and phosphorus, serum calcium and phosphorus levels returned to normal levels after about 2 weeks. To avoid denosumab-associated hypocalcemia, calcium and vitamin D status, as well as renal function should be assessed and corrected if appropriate. J Endocrinol Metab. 2022;12(3):111-115 doi: https://doi.org/10.14740/jem810
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".