Bibliographic record
Abstract
PURPOSE OF REVIEW: Bone is the most common site of metastasis in prostate cancer. The burden of disease from bone metastasis has repercussions in terms of cost to society, decreased quality of life, and decreased survival. Given the magnitude of bone-related morbidity in advanced prostate cancer, physicians need to be aware of preventive and therapeutic measures, and to be proactive in implementing them. RECENT FINDINGS: Patients with prostate cancer are often osteopenic at baseline. Implementing androgen-deprivation therapy further increases bone mineral density loss. Lifestyle changes, vitamin D and calcium supplementation may slow the rate of bone mineral density loss. Bisphosphonates reduce androgen-deprivation therapy-related bone loss in prostate cancer patients. Zoledronic acid is the only bisphosphonate proven to decrease skeletal-related events in a randomized controlled trial in patients with metastatic prostate cancer. Newer agents such as selective oestrogen receptor modifiers and antibodies targeting receptor activator of nuclear factor-kappaB ligand are under investigation. SUMMARY: Bone mineral density loss and skeletal complications are directly related to androgen-deprivation therapy and metastases in prostate cancer patients. Preventive and therapeutic modalities are available to physicians, who should be proactive in implementing them. Novel agents are under investigation and data pertaining to their efficacy should become available in the near future.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".