Comparing the Effect of Metformin and Acarbose Accompanying Clomiphene on the Successful Ovulation Induction in Infertile Women with Polycystic Ovary Syndrome
Bibliographic record
Abstract
The aim of this study was to compare the effects of Metformin and Acarbose accompanying Clomiphene on the successful ovulation induction in infertile women with polycystic ovary syndrome.This randomized double blind clinical trial study was performed on 60 women with polycystic ovary syndrome. Women were selected and randomly divided in two control and intervention groups. Intervention group received Acarbose 100 mg/day for 3 months. In the first, second, and third weeks, they received 1 tablet, 2 tablets, and 3 tablets per day respectively. In addition, they received 100 mg Clomiphene from third to seventh day of menstruation, during the 3 month treatment period. The control group received Metformin 500 mg/day for 3 months. In the first, second, and third weeks, they received 1 tablet, 2 tablets, and 3 tablets per day respectively. In addition, they received 100 mg Clomiphene from third to seventh day of menstruation, during the 3 month treatment period. All the subjects in both groups before and after the treatment were examined for hirsutism, acne, oral glucose tolerance test, serum triglycerides, cholesterol, LDL, HDL. Also, induction of ovulation was assessed by vaginal ultrasound. The Mean of BMI and fasting glucose tolerance test in Acarbose group was less than Metformin group (P = 0.05). The mean of triglycerides, LDL and HDL levels did not differ between the two groups after the intervention (P > 0.05). The mean of cholesterol levels were different in the two groups after the intervention (P = 0.04). Frequency of ovulation induction in those who received Acarbose (78.5%) was more than those who received Metformin (46.6) (P = 0.012). Comparing with Metformin, Acarbose accompanying Clomiphene was more effective in ovulation induction and decreasing body mass index in infertile women with polycystic ovary syndrome.
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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) | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".