Effect of high LH/FSH ratio on women with polycystic ovary syndrome undergoing in vitro maturation treatment.
Bibliographic record
Abstract
OBJECTIVE: To determine whether high luteinizing hormone/follicle-stimulating hormone (LH/FSH) ratios have a clinical impact on women with polycystic ovary syndrome (PCOS) undergoing in vitro maturation (IVM) treatment. STUDY DESIGN: Women with PCOS who underwent IVM treatment were divided into those with LH/FSH ratio > 1.5 and LH/FSH 0.5-1.5. We analyzed baseline characteristics of the patients, number of oocytes retrieved, number of mature oocytes, and pregnancy rates. RESULTS: Women with LH/FSH ratio of > 1.5 had higher basal serum testosterone (2.2 vs. 1.4, p < 0.005, CI 0.1-1.0) and estradiol (188.7 +/- 16.2 vs. 143.7 +/- 6.9, p < 0.01, CI 23-96). The antral follicle count (AFC) was also higher in the patients with high LH/FSH (46.2 +/- 3.5 vs. 32.9 +/- 1.3, p < 0.001, CI 7-21). The total number of retrieved oocytes and number of mature oocytes was also significantly higher in women with LH/FSH ratio of > 1.5 than in those with a lower ratio. However, the pregnancy rate in women with LH/FSH ratio of > 1.5 (16.7%) was significantly lower than in those with a ratio of 0.5-1.5 (40.4%), p < 0.05, odds ratio 0.32. CONCLUSION: PCOS patients with LH/FSH ratio of > 1.5 had higher basal testosterone, E2, and AFC but decreased pregnancy rate. This could be due to the deleterious effect of LH on folliculogenesis and endometrial receptivity.
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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 | 0.000 | 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".