Metabolic, cardiac, and bone health testing in patients with prostate cancer on androgen‐deprivation therapy: A population‐based assessment of adherence to therapeutic monitoring guidelines
Bibliographic record
Abstract
BACKGROUND: Androgen-deprivation therapy (ADT) remains a cornerstone in treatment for patients with advanced prostate cancer. ADT is associated with several adverse effects, including osteoporosis, metabolic syndrome, and cardiovascular events, leading to guidelines recommending routine testing to monitor for these toxicities. There is a lack of data assessing adherence to these recommendations. METHODS: The authors conducted a retrospective cohort study using administrative data from Ontario, Canada between 2008 and 2021. They identified all older men (aged 65 years and older) who received ADT for prostate cancer using comprehensive provincial health databases. The primary outcomes were the use of testing for lipids, dysglycemia (glucose), bone health serum, and bone density between 6 weeks before and 1 year after the initiation of ADT. RESULTS: In total, 29,097 patients were examined, of whom 52.8% were prescribed ADT by urologists, 37.9% were prescribed ADT by radiation oncologists, 2.8% were prescribed ADT by medical oncologists, and 2.4% were prescribed ADT by other physicians. Adherence to guidelines was low: only 21.3% of patients received a bone density scan, 41.2% underwent bone health-related serum tests, 51.3% completed a lipid profile, and 65.9% underwent dysglycemia testing within 1 year of diagnosis. Overall, only 11.9% of patients received all of the recommended investigations. Adherence to testing did not appear to improve over time (2008-2021) or with guideline publication. Patient (age) and physician (specialty) factors had important associations with adherence to testing. CONCLUSIONS: Most patients receiving ADT for prostate cancer do not receive recommended testing to monitor for treatment-related toxicity. Further study is required to address barriers to therapeutic monitoring of men on ADT and to reduce treatment-associated adverse events.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".