Taking Advantage of the Teachable Moment at Initial Diagnosis of Prostate Cancer—Results of a Pilot Randomized Controlled Trial of Supervised Exercise Training
Bibliographic record
Abstract
BACKGROUND: Increased physical activity (PA) levels are associated with improved prostate cancer (PCa) outcomes. Sustainable PA has been linked to improved health-related quality of life (QoL) in cancer patients. The time of diagnosis of PCa may offer a critical time point when patients might be more likely to consider lifestyle changes. This, in turn, may contribute to sustainable PA and its likely benefits. OBJECTIVE: The aims of this study were to determine if a structured PA intervention introduced at the time of diagnosis can (1) lead to sustainable PA and (2) help improve psychosocial and QoL outcomes as compared with usual PA. INTERVENTIONS/METHODS: This was a pilot randomized controlled trial enrolling patients with intermediate-risk PCa into either arm A (supervised 8- to 12-week physical exercise program; n = 10) or control arm B (usual PA; n = 10). Primary outcome was PA at 6 months. Secondary outcomes were QoL, psychological well-being, physical fitness, and functional outcomes postintervention. Change over time was compared using a nonparametric Wilcoxon test. RESULTS: Demographic variables were the same between arms. Comparing parameters at the start and 6 months post-radical prostatectomy, PA significantly improved in arm A (self-reported Godin score 24.7 vs 42.8 units, P < .01, objective number of chair stands [14-19, P < .01]), but not in arm B. There were no significant differences between arms in QoL and psychosocial outcomes. CONCLUSIONS: A preoperative supervised exercise training program increases long-term PA. IMPLICATIONS FOR PRACTICE: Future trials should evaluate PA sustainability beyond 6 months and if this leads to improved psychosocial and QoL outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".