Bibliographic record
Abstract
Gallium nitrate is an approved therapy for symptomatic, cancer-related hypercalcemia unresponsive to adequate hydration, the most common life-threatening metabolic disorder of cancer. Initially developed because of its antineoplastic properties, gallium nitrate demonstrated the ability to reduce serum calcium levels in early trials. Although the mechanism by which gallium nitrate corrects hypercalcemia is not fully understood, it appears to involve multiple effects (inhibition of osteoclast-mediated bone resorption, stimulation of bone formation, and alteration of the mineral composition and properties of bone); however, gallium nitrate is not cytotoxic to bone cells. In randomized trials for moderate-to-severe cancer-related hypercalcemia, gallium nitrate was well tolerated and produced a higher rate and longer duration of normocalcemia relative to calcitonin and the bisphosphonates etidronate and pamidronate. Gallium nitrate induced normocalcemia in 72% to 82% of patients; in contrast to the comparator agents, it was effective regardless of epidermoid tumor status. Epidermoid tumors are associated with high levels of parathyroid hormone-related protein (PTHrP), the principal mediator of cancer-related hypercalcemia in solid tumors. High levels of PTHrP appear to adversely impact the calcium-lowering potential of bisphosphonates. The recommended schedule of gallium nitrate for the treatment of cancer-related hypercalcemia is 200 mg/m2 per day as a 5-day continuous intravenous infusion, administered with adequate hydration and close monitoring of renal function. Gallium nitrate is an effective treatment option for moderate-to-severe cancer-related hypercalcemia, a setting in which morbidity and mortality are high.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".