Bibliographic record
Abstract
Introduction: Androgen deprivation therapy (ADT) is a staple of advanced prostate cancer (PCa) treatment, however, several side effects are associated with its long-term use.Notably, loss of bone mineral density (BMD) is accelerated, which increases fracture risk.Although guidelines recommend BMD testing when initiating ADT to properly assess baseline fracture risk, there is scarce data to support this recommendation in the PCa patient population.The objective was to examine the association between baseline BMD testing (bBMDT) and the risk of fractures in men initiating ADT for PCa.Methods: The cohort consists of men extracted from Quebec public healthcare insurance administrative databases who were diagnosed with PCa from 2004-2015 and treated by ADT.Only patients who received at least one year of continuous ADT treatment were included.bBMDT was defined as a BMD test performed from 12 months prior to ADT initiation and up to three months after.The primary study outcomes were incidence of any fracture and incidence of fractures resulting in hospitalization.Adjustment for confounders was performed with inverse probability of treatment weights (IPTW) and included baseline characteristics, such as patient demographic variables, comorbidities, and risk factors for fractures.Results: We identified 13 352 patients during the study period, of which 2070 (15.3%) underwent bBMDT.In adjusted analyses, bBMDT (hazard ratio [HR] 0.92, 95% confidence interval [CI] 0.76-1.12)was not associated with the risk of fracture.For fractures requiring hospitalization, bBMDT was associated with a lower risk (HR 0.72, 95% CI 0.52-0.98),with an IPTW-adjusted five-year incidence 6.8% for patients not receiving bBMDT and 4.7% for patients receiving bBMDT.Conclusions: In our study population, bBMDT was associated with a lower risk of fractures resulting in hospitalization.Given the low uptake of bBMDT, additional efforts emphasizing the importance of BMD testing in 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.471 | 0.239 |
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".