Adiposity and Muscle Strength in Men With Prostate Cancer and Cardiovascular Outcomes
Bibliographic record
Abstract
There are limited data on the physical effects of androgen deprivation therapy (ADT) for prostate cancer (PC), and on the relationships of such measures of adiposity and strength to cardiovascular outcomes. The primary objective of this study was to evaluate the relationships of measures of adiposity and strength to cardiovascular outcomes (cardiovascular death, myocardial infarction, stroke, heart failure, arterial revascularization, peripheral arterial disease, and venous thromboembolism) in patients with PC. A secondary objectives was to characterize the relationships between ADT use and 12-month changes in these physical measures. This international, prospective cohort study included 3,967 patients with PC diagnosed in the prior 12 months or being treated with ADT for the first time. Median follow-up duration was 2.3 years. Participants’ mean age was 68.5 years, and 1,731 (43.6%) were exposed to ADT. ADT was associated with a 1.6% increase in weight, a 2.2% increase in waist circumference, a 1.6% increase in hip circumference, a 0.1% increase in waist-to-hip ratio, a 27.4% reduction in handgrip strength, and a 0.1% decrease in gait speed. High waist circumference and low handgrip strength were associated with adverse cardiovascular outcomes. Adjusting for age, education, race, tobacco and alcohol use, physical activity, cardiovascular disease, glomerular filtration rate, and ADT use, waist circumference above the highest quartile (110 cm) and handgrip strength below the lowest quartile (29.5 kg) were associated with higher likelihoods of a future cardiovascular event, with respective HRs of 1.40 (95% CI: 1.03-1.90; P = 0.029) and 1.59 (95% CI: 1.14-2.22; P = 0.006). ADT was associated with increased adiposity and reduced strength over 12-month follow-up. High waist circumference and low baseline strength were associated with future adverse cardiovascular outcomes.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".