The Efficacy of Metformin Treatment on Insulin Resistance and Hyperandrogenism in Lean Women with Polycystic Ovary Syndrome: A Literature Review
Bibliographic record
Abstract
Background: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in premenopausal women, characterized by insulin resistance and hyperandrogenism. Previous studies have investigated the use of metformin, a well-known insulin sensitizer, on lean PCOS patients, but it remains unclear as to how effective the treatment is. This literature review was carried out to better assess the effects of metformin on lean PCOS patients. Methods: Related literature was fully searched using MEDLINE, EMBASE, Web of Science, and COCHRANE for metformin therapy on lean women with PCOS (last updated May 2022). A review was performed to evaluate the effects of continued metformin treatment on relevant hormonal and metabolic indicators in these women. Results: A total of fourteen studies among 300 related articles were included in the review. Significant changes in total testosterone, sex hormone binding globulin (SHBG), blood insulin, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) were reported in majority of the studies. Several studies observed significant changes in Body Mass Index (BMI), luteinizing hormone (LH), and blood glucose. Nearly none of the studies assessed reported significant changes in follicle-stimulating hormone (FSH) and androstenedione. Discussion: Current literature around the efficacy of metformin treatment on lean PCOS patients remains unclear and uncertain. The majority of studies reviewed indicate that metformin treatment significantly ameliorated total testosterone, SHBG levels, and insulin resistance in lean patients with PCOS. However, the mechanisms and effects of metformin on other treatment outcomes in lean PCOS women is unclear. Conclusion: Metformin may be a putative treatment for lean PCOS women with significant insulin resistance and/or hyperandrogenism. More research involving larger sample sizes and a greater number of clinical outcomes is required.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".