Unusual cause of hypercalcaemia in end stage renal failure patients
Bibliographic record
Abstract
Immobility-induced hypercalcaemia is rarely considered in patients on dialysis and is a challenging diagnosis to make. This is especially so due to the lack of biomarkers as well as the notion that calcium metabolism is mostly related to chronic kidney disease-metabolic bone disorder due to the role of iPTH. We present two cases of our dialysis patients, who were clinically unwell from hypercalcemia. We were initially uncertain of the cause of hypercalcemia as despite our attempts to adjust treatment based on their biochemical findings, we were unable to correct the hypercalcemia. We did not have appropriate bone turnover markers to guide us and out of desperation, anti-resorptives-calcitonin and bisphosphonate were given with good clinical response. We concluded that the hypercalcemia was related to immobility-induced hypercalcemia and the inappropriately low iPTH was a red herring. Immobility-induced hypercalcaemia should be considered in patients with end stage renal failure on renal replacement therapy, especially in those with recent and significant immobility. In these patients, pamidronate can be considered should the hypercalcaemia persist.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".