Significant Response to Denosumab Yet with Severe Rebound Hypercalcemia in a 9-Year-Old Boy with Aneurysmal Bone Cyst: A Case Report
Bibliographic record
Abstract
A 9-year-old boy presented with edema of the left cheek. He was diagnosed with a large aneurysmal bone cyst of the mandibular bone. Off-label treatment with denosumab for 17 months resulted in a significant reduction in the lesion. Five months after discontinuing denosumab, the patient developed severe rebound hypercalcemia and acute kidney injury, which resolved with corticosteroids. Two years after treatment discontinuation, the lesion continues to decrease in size. This case highlights the efficacy of denosumab as an off-label treatment for aneurysmal bone cysts, though it can be associated with hypercalcemia and acute kidney injury. We conclude that the use of denosumab should be considered on a case-by-case basis, with regular monitoring for side effects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".