How to dose follitropin delta for the first insemination cycle according to the ESHRE and ASRM guidelines; a retrospective cohort study
Bibliographic record
Abstract
BACKGROUND: Follitropin Delta (FD) is indicated exclusively for in-vitro fertilization however, being a gonadotropin it could be used for other purposes. A dosing algorithm exists for FD and IVF but is needed for intrauterine insemination (IUI) cycles. The objective of this study is to determine dosing for FD for the first controlled ovarian hyperstimulation (COH) cycle according to current stimulation guidelines. RESULTS: A retrospective study of 157 subjects from a single university fertility center from January 2017 to March 2020, was performed. All patients stimulated with FD for IUI were included. The number of failed, normal, or overstimulation cycles was determined based on stimulating not more than 2 mature follicles. We then stratified the group based on the AFC, AMH, and body weight. Of 157 subjects, 49% stimulated correctly, 5.6% failed and 45.4% overstimulated. An analysis of the COH IUI cycles based on stratification and over or lack of stimulation per published guidelines found that women with a bodyweight < 80 kg or AMH ≥ 1.5 ng/ml or AFC ≥ 10 initially stimulate with FD 2.0 to 3.0mcg daily. For women with an AFC of 6-9 stimulate with Follitropin Delta 3.0mcg daily. For women with an AFC < 6 or serum AMH < 1.5 ng/ml stimulate with FD 3.0-4.0mcg daily. For women with body weight > 80 kg stimulate initially with daily with 4.0-6.0mcg FD. CONCLUSIONS: Follitropin Delta can be used safely for controlled ovarian stimulation and insemination at doses easily dispensed by the current methods of delivery, within the current published guidelines for follicle development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".