Contemporary Population-Based Analysis of Bone Mineral Density Testing in Men Initiating Androgen Deprivation Therapy for Prostate Cancer
Bibliographic record
Abstract
BACKGROUND: Androgen deprivation therapy (ADT) is a cornerstone of treatment for advanced prostate cancer (PCa); however, it accelerates the loss of bone mineral density (BMD), which increases fracture risk. Guidelines recommend BMD testing when initiating ADT to assess baseline fracture risk properly. The objective of this study was to examine the proportion of BMD testing in men initiating ADT in Quebec and to identify factors associated with receipt of this testing. METHODS: The study cohort consisted of men extracted from Quebec public healthcare insurance administrative databases who initiated continuous ADT from 2000 to 2015 for >12 months. The primary study outcome was receipt of BMD testing in the period from 6 months before through 12 months after ADT initiation. Multivariable generalized linear mixed regression modeling with a logit link was performed to identify variables associated with BMD testing. RESULTS: We identified 22,033 patients, of whom 3,910 (17.8%) underwent BMD testing. Rates of BMD testing increased from 4.1% in 2000 to 23.4% in 2015. After multivariable analyses, prior history of osteoporosis (odds ratio [OR], 1.84; 95% CI, 1.32-2.57; P<.001), rheumatoid arthritis (OR, 1.64; 95% CI, 1.15-2.34; P=.006), use of bisphosphonates (OR, 1.47; 95% CI, 1.25-1.73; P<.001), and long-term corticosteroid use (OR, 1.63; 95% CI, 1.15-2.31; P=.006) were associated with higher odds of BMD testing. Patient age >80 years (OR, 0.67; 95% CI, 0.59-0.76; P<.001), metastases (OR, 0.79; 95% CI, 0.70-0.89; P<.001), higher Charlson comorbidity score (OR, 0.65; 95% CI, 0.51-0.81; P<.001), and rural residence (OR, 0.77; 95% CI, 0.68-0.87; P<.001) were associated with lower odds of BMD testing. CONCLUSIONS: In our study population, BMD testing rates in men initiating ADT were low, although they increased over the years especially in the years after the publication of recommendations for BMD testing in these patients. Potential gaps identified include being older, more comorbid, and rural areas. Overall, additional efforts emphasizing the importance of BMD testing in PCa guidelines may be needed.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".