Bone health in the prostate cancer patient receiving androgen deprivation therapy: a review of present and future management options
Bibliographic record
Abstract
Osteoporosis and bone fractures are frequently overlooked complicationsof androgen deprivation therapy in men with nonmetastaticprostate cancer. All such patients should have their bone mineraldensity (BMD) monitored and be offered preventive measures,such as calcium and vitamin D supplementation; patients withlow BMD should be offered treatment. Several agents, includingbisphosphonates, are available (although this use is currently offlabel),and upcoming treatments, such as denosumab and toremifene,have shown promise in reducing fracture risk in these patients.L’ostéoporose et les fractures osseuses sont des complications souventnégligées du traitement antiandrogénique chez les hommesatteints d’un cancer de la prostate non métastatique. La teneurminérale des os de ces patients devrait être surveillée, et des mesurespréventives, comme la prise de suppléments de calcium et de vita -mine D, devraient être offertes. Les patients présentant une faibleteneur minérale des os devraient se voir offrir un traitement approprié.Plusieurs agents, y compris des bisphosphonates, sont offertssur le marché (quoique cette indication ne soit pas officiellementapprouvée à l’heure actuelle), et des traitements en cours d’étude,comme le dénosumab et le torémifène, se sont révélés prometteursdans la réduction du risque de fracture chez ces patients.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".