The Role of Naturopathic Medicine During Active Surveillance in Prostate Cancer
Bibliographic record
Abstract
Background: Active surveillance (AS) is increasingly used in low-risk prostate cancer, presenting an opportunity for integrative interventions to delay progression and improve overall health. This review explores the role of diet, exercise, and nutritional supplements in AS. Methods: A narrative review of clinical and observational studies on dietary patterns, physical activity (PA), and nutritional supplements in AS and pre-surgical prostate cancer research. Results: Plant-based and Mediterranean diets may reduce Gleason-grade progression, though randomized controlled trials (RCTs) show mixed results. Exercise, particularly high-intensity interval training (HIIT), may influence prostate-specific antigen (PSA) kinetics. Nutritional supplements such as vitamin D, green tea polyphenols, lycopene, mushroom mycelium extract, glucoraphanin, and fish oil show potential but inconsistent effects. Cardiovascular disease mortality surpasses prostate cancer mortality in men with localized disease, underscoring the need for cardiometabolic support alongside AS. Multimodal approaches integrating diet, exercise, and supplementation may offer the greatest benefit. Conclusion: While no single intervention is proven to prevent prostate cancer progression, a comprehensive, personalized approach, including diet, exercise, and additional integrative therapies, may optimize outcomes in motivated patients. Future research should focus on evaluating multimodal integrative strategies in AS.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".