Impact of Androgen Deprivation Therapy on Weight Gain Differs by Age in Men with Nonmetastatic Prostate Cancer
Bibliographic record
Abstract
PURPOSE: Although androgen deprivation therapy leads to weight gain within the first year in men with prostate cancer, longer term changes and the relationship to patient age are not well characterized. We examined long-term weight gain by age group in men on androgen deprivation therapy for up to 36 months. MATERIALS AND METHODS: Three cohorts matched by age and education were recruited in this prospective study, including men in whom continuous androgen deprivation therapy was initiated, controls with prostate cancer and healthy controls. All patients with prostate cancer had nonmetastatic disease. We performed age stratified (less than 65 vs 65 years or greater) comparisons. Univariate and multivariable associations with weight change with time were evaluated using linear regression. RESULTS: We included 257 men with a mean age of 69.1 years. At baseline the cohorts were similar in age, education, body mass index, weight and comorbidity. Androgen deprivation therapy was associated with weight gain from baseline at 6, 12, 18, 24, 30 and 36 months compared to controls with prostate cancer and healthy controls (p = 0.006, 0.015, 0.028, 0.003, 0.014 and 0.0004, respectively). The proportion of men who gained weight was higher among androgen deprivation therapy users than controls with prostate cancer and healthy controls at most time points. Age stratified analyses showed that younger patients (age less than 65 years) on androgen deprivation therapy had significantly greater weight gain with time than older patients (4.7 vs 1.4 kg, p = 0.005). However, age did not appear to affect weight change with time in men not on androgen deprivation therapy (p = 0.37). CONCLUSIONS: Androgen deprivation therapy was associated with an increase in weight during 36 months and weight gain was significantly higher in patients younger than 65 years.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".