Variability of Commercial Saw Palmetto–Based Supplements for the Management of Benign Prostatic Hyperplasia/Lower Urinary Tract Symptoms
Bibliographic record
Abstract
ABSTRACT Purpose: Some men with mild-to-moderate benign prostatic hyperplasia/lower urinary tract symptoms use saw palmetto supplements to proactively manage their symptoms as an alternative to watchful waiting and/or to avoid prescription medication side effects. This study assessed the potency and authenticity of commercially available saw palmetto–based supplements in the United States. Materials and Methods: Twenty-eight saw palmetto berry powders, powdered extracts, berry blends, lipid extracts, and multiactive products (lycopene, pumpkin oil, etc) were purchased from major online retailers and retail stores. Total fatty acid content (% weight/weight) and individual fatty acid profile of each product were determined using validated gas chromatography-fatty acid methyl ester methodology and compared with the US Pharmacopeia monograph standards for lipidosterolic extracts of Serenoa repens. Results: Total fatty acid content ranged from 0.796% for a berry powder product to 89.923% for a lipid extract product. None of the berry powders or powdered extracts, 6 of 9 lipid extracts, and 1 multiactive product met criteria for ≥80% total fatty acid content. Only 1 of the 28 products met the US Pharmacopeia criteria for a standardized lipidosterolic extract, defined as total fatty acid content ≥80% and a fatty acid profile indicative of authentic S. repens based on the ratios of the lauric acid concentration to 9 other individual fatty acid concentrations. Conclusions: There is substantial heterogeneity in fatty acid content and profile in saw palmetto supplements. Lipidosterolic extracts of saw palmetto berries standardized to ≥80% fatty acids are most likely to meet established criteria for quality and identity.
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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) | 0.000 | 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".