Relationship between Number of Mature Follicles and Pregnancy Rates in IUI Cycles in Women 38 to 43 Years Old
Bibliographic record
Abstract
Background: Although the number of follicles at intrauterine insemination (IUI) is associated with the pregnancy rates and multiple pregnancy rates. Multiple pregnancy rates are low in older women. Therefore, this study was undertaken to determine the clinical pregnancy rate of IUI in women 38–43 years of age based on the number of stimulated mature follicles. Methods: A retrospective cohort study was performed including all the first to third stimulated IUI cycles conducted after the age of 38 years in a single academic fertility center between January 2011 and March 2018. Results: A total of 1574 IUI cycles were included in the study. The patients were divided according to the number of mature follicles (>14 mm in diameter) at the last ultrasound before the human chorionic gonadotropin (hCG) trigger. The total pregnancy rate was 9.1% and only 5 multiple pregnancies occurred. The parity (p = 0.049), the number of follicles 10–14 mm (p = 0.002), and the peak endometrial thickness (p = 0.003) were significantly different between the groups. No statistical difference was observed between the groups regarding pregnancy rates (p = 0.93) and clinical pregnancy rates (p = 0.21). Multivariate logistic regression controlling for confounding effects comparing clinical pregnancy rates with the standard as 1 follicle 14 mm or greater as benchmark did not alter the results. Conclusions: In women 38 to 43 years of age undergoing controlled ovarian hyperstimulation (COH)/IUI, one mature follicle yielded similar pregnancy and clinical pregnancy rates compared to multiple follicles, possibly due to the aneuploidy rate at this age.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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".