Prospective randomized study of human chorionic gonadotrophin priming before immature oocyte retrieval from unstimulated women with polycystic ovarian syndrome
Bibliographic record
Abstract
The present study examined whether the rates of oocyte maturation, fertilization and development, as well as pregnancy rate could be improved by human chorionic gonadotrophin (HCG) priming 36 h before immature oocyte retrieval in patients with polycystic ovarian syndrome (PCOS). Immature oocyte retrieval was performed on day 10-14 of the cycles and patients were randomly allocated either to be primed with 10 000 IU of HCG before the retrieval, or not primed. Immature oocytes were cultured for 24-48 h in TC-199 medium with 20% (v/v) inactivated fetal bovine serum (FBS) supplemented with 75 mIU/ml follicle stimulating hormone (FSH) and luteinizing hormone (LH). Intracytoplasmic sperm injection (ICSI) was performed in all mature oocytes and the resulting embryos were transferred on day 2 or 3 after ICSI. A total of 17 patients underwent 24 completed treatment cycles. Thirteen cycles were primed with HCG and 11 other cycles were not primed. The mean number of oocytes retrieved was comparable in the two groups (7.8 +/- 3.9 versus 7.4 +/- 5.2). The percentage of oocytes achieving maturation at 48 h was significantly higher (P < 0.05) in the HCG-primed group (84.3%, 86/102) than in the non-HCG-primed group (69.1%, 56/81). Oocyte maturation was hastened in the HCG-primed group. Following 24 h of culture, 78.2 +/- 7.1% of oocytes were matured in the HCG-primed group compared with 4.9 +/- 2.5% of oocytes in the non-HCG-primed group (P < 0.001). There were no significant differences in the rates of oocyte fertilization and cleavage in these two groups. There were five clinical pregnancies (38.5%) in the HCG-primed group, and three pregnancies (27.3%) in the non-HCG-primed group.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".