Project Details
Project Description
Progesterone is a predictor of outcomes during fresh IVF cycles with higher progesterone levels at trigger being associated with lower implantation and ongoing pregnancy rates in fresh embryo transfer (ET) cycles5-7. This has been shown to be mediated through a direct negative effect on endometrial receptivity and, for that reason, using a freeze-only strategy has been suggested as the preferred strategy in such cases. However, what remains an elusive concept is whether a cut-off exists where employing a freeze-all strategy clearly leads to improved outcomes.
We plan a formal analysis with BIG data from the clinics in Asia and Viet Nam mentioned above as well as from other clinics, for a total of at least 100,000 cycles.
We will evaluate the potential of progesterone for treatment selection and will develop a logistic regression model to predict live birth rate and marker-by-treatment interaction
We plan a formal analysis with BIG data from the clinics in Asia and Viet Nam mentioned above as well as from other clinics, for a total of at least 100,000 cycles.
We will evaluate the potential of progesterone for treatment selection and will develop a logistic regression model to predict live birth rate and marker-by-treatment interaction
Status | Finished |
---|---|
Effective start/end date | 10/12/19 → 31/12/20 |
Keywords
- progesterone
- biomarker
- embryo transfer
- fresh embryo
- frozen embryo