Prevalence of congenital malformation among neonates born after the use of progesterone for luteal support during IVF and ICSI cycles
Bibliographic record
Abstract
Introduction: This study assessed the prevalence of congenital malformation among neonates born after using progesterone for luteal support in patients undergoing IVF and ICSI cycles. Methods: This retrospective cohort study was conducted in the Reproductive Endocrinology and Infertility Department of a tertiary hospital. Two groups were compared: one group received only Cyclogest or Crinone gel, and the other group received a combination of Cyclogest or Crinone gel with Proluton Depot injection Results: A total of 91 patients were included, all of whom took progesterone during their IVF and ICSI cycles. The minimum age of the participants was 21, and the maximum was 41. 16.5% (n=15) patients who received progesterone for luteal support during their IVF and ICSI cycles gave birth to infants with congenital malformation, while 76 (83.5%) did not. The most commonly observed congenital malformation was patent ductus arteriosus, observed in 5 cases (5.49%), followed by delayed speech observed in 2 (2.2%). Brachydactyly, Down syndrome, autism spectrum disorder, and a number of other conditions were observed at a rate of 1.1%. Ultimately, no significant association was found between the two groups and the incidence of congenital malformations (p = 0.121). Conclusion: Our review indicates that the incidence of congenital anomalies was similar across the different treatment groups.
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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 | 0.002 | 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".