The role of elagolix in ovulation suppression during controlled ovarian stimulation: a retrospective cohort study
Bibliographic record
Abstract
Objective: To compare in vitro fertilization treatment outcomes for the oral gonadotropin-releasing hormone (GnRH) antagonist elagolix (E) to the conventionally used injectable GnRH antagonist ganirelix (G) for achieving pituitary gonadotropin suppression during a controlled ovarian stimulation (COS) cycle. Design: Retrospective cohort study. Setting: Private university-affiliated fertility center. Patients: One hundred and ninety-four infertility patients receiving either E or G for pituitary suppression during the COS cycle. Exposure: Use of E for ovulation suppression during the COS cycle. Main Outcome Measures: Biochemical pregnancy, sustained implantation, and cycle cancellation rates were the primary outcome measures. Secondary outcomes included miscarriage, fertilization, and blastulation rates. Results: The groups did not differ in their baseline demographic characteristics (age, body mass index, hormone profiles, total dosage of gonadotropins, number of oocytes retrieved, and number of embryos transferred). The overall cycle cancellation rates were 7.0% and 4.9% for e and G, respectively, and the difference was not statistically significant. For the frozen embryo transfers, the biochemical pregnancy, sustained implantation, and miscarriage rates for E were 74.5%, 51.0%, and 31.6%, respectively. For G, these were 55.9%, 39.8%, and 28.8%. Out of these outcomes, only the biochemical pregnancy rates were significantly different. For the fresh embryo transfers, biochemical pregnancy, sustained implantation, and miscarriage rates for E were 33.3%, 33.3%, and 0.0%, and for G, they were 37.5%, 25.0%, and 33.3%. None of the differences reached significance. Conclusions: The oral GnRH antagonist, E, may be as effective as the injected antagonist, G, regarding embryological and clinical outcomes and could offer a less invasive, more cost-effective, and "patient-friendly" approach to pituitary suppression for in vitro fertilization treatment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".