Effect of Metformin on Obesity, Hyperandrogenism and Insulin Resistance in Population with PCOS: A Clinical Analysis
Bibliographic record
Abstract
Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder in women, therapeutic methods include reducing obesity, hyperandrogenism and insulin resistance. This paper sorts out data from a clinical study that contains 83 Chinese PCOS patients in Control group, and 87 in Metformin group and analyzes the variation of parameters between baseline and after 4-month treatment. The Wilcoxon signed-rank test shows Metformin has a significant effect on obesity, hyperandrogenism and insulin resistance. They are measured by BMI, FAI and HOMA-IR respectively. The Spearman correlation analysis shows ΔFAI (variation after 4 months) is a mediator that is strongly correlated with ΔBMI and ΔHOMA-IR variation in PCOS patients. Linear regression concludes it as 10.64ΔBMI~ΔFAI~10.20ΔHOMA-IR. Metformin treatment has a stronger effect on decreasing HOMA-IR and BMI than FAI, as the relationship turns to 4.17ΔBMI~ΔFAI~5ΔHOMA-IR. This study fills the gap left by previous research which rarely focused on relationship of characteristic changes in PCOS patients, further explains Metformin treatment mechanism in evidence-based medicine perspective and provides strategy for new use of old medicine.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".