Impact of androgen deprivation therapy (ADT) on bone mineral density (BMD) over 3 years in men with nonmetastatic prostate cancer.
Bibliographic record
Abstract
193 Background: Decreased BMD is a common side effect of ADT, leading to increased fracture risk. Although loss of BMD appears to be greatest within the first 12 months of starting ADT, few data on BMD changes exist beyond 12 months, and other risk factors for bone loss in men on ADT are not well-characterized. Methods: Men age 50+ with non-metastatic prostate cancer and starting continuous ADT were enrolled in a prospective longitudinal study. BMD was determined by dual-energy x-ray absorptiometry at baseline and yearly for 3 years. A matched control group of men with prostate cancer but not on ADT was also enrolled. Medication use was recorded at each visit. Multivariable regression analyses were done to examine predictors of BMD loss. Results: 80 ADT users and 80 controls were enrolled (mean age 69.4 y); 49.7% had osteopenia and 4.6% had osteoporosis at baseline. ADT was associated with significant losses in lumbar spine BMD in year 1 compared to controls (p=0.004) and trends towards greater declines at femoral neck and total hip sites. Changes in year 2 and 3 were much smaller and not statistically different from controls (Table). Vitamin D use but not calcium use was associated with improved BMD at the lumbar spine in year 1 (+5.77%, p=0.006) with positive trends at other sites (+2.19% femoral neck, +1.76% total hip) primarily in year 1. Age was not associated with changes in BMD. Conclusions: Losses in BMD with ADT use are greatest at the lumbar spine and in the first year compared to years 2 and 3 and are independent of age. Vitamin D appears to be protective particularly in the first year of ADT use. [Table: see text]
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".