The Effect of n-3 Polyunsaturated Fatty Acid Supplementation on Androgen Status in Patients with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis of Clinical Trials
Bibliographic record
Abstract
The anti-androgenic role of n-3 polyunsaturated fatty acids (PUFAs) among patients with polycystic ovary syndrome (PCOS) has recently been proposed. The present study aimed to systematically review clinical trials assessing the effects of n-3 PUFAs consumption on androgen status among adult females with PCOS. PubMed, ISI Web of Science, Google Scholar, and Scopus were searched up to December 2015. Clinical investigations assessing the effect of n-3 PUFAs on adult females with PCOS were included. Mean±standard deviation of change in serum total testosterone, sex hormone binding globulin (SHBG), and dehydroepiandrostrone sulfate (DHEAS) were extracted. Eight clinical trials with 298 participants were eligible. Meta-analysis showed that n-3 PUFAs supplementation marginally reduces total testosterone (mean difference [MD]: - 0.19 nmol/l; 95% CI: - 0.39 to 0.00; p=0.054), but not SHBG (MD: 1.75 nmol/l; 95% CI: -0.51 to 4.01; p=0.129) or serum DHEAS levels (Hedes' g: -0.11 nmol/l; 95% CI: -0.29 to 0.06; p=0.19) among adult females with PCOS. Subgroup analyses showed that only before-after studies (Hedges' g: 0.15; 95% CI: -0.27 to -0.04; p=0.01) and long-term interventions (>6 weeks) (Hedges' g: -0.17; 95% CI, -0.29 to -0.05; p=0.004) had reducing effects on serum DHEAS levels. The majority of long-term trials utilized a single group design (no control group). It does not appear that n-3 PUFAs supplementation significantly affects the androgenic profile of females with PCOS; however, some before-after and long-term intervention studies show reduced DHEAS levels. Future studies incorporating double blinded placebo controlled clinical trials with long follow-up periods are warranted.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.032 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".