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Heterogeneity in patient populations explains differences in in vitro fertilization programs
A Hershlag1, E H Kaplan, R A Loy
1Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, Connecticut.
Fertility and Sterility
|November 1, 1991
Summary
This study developed models to assess pregnancy rates in in vitro fertilization and embryo transfer (IVF-ET) cycles. Findings suggest limiting IVF-ET treatment after a certain number of unsuccessful attempts due to declining success probabilities.
Area of Science:
- Reproductive Medicine
- Biostatistics
Background:
- In vitro fertilization and embryo transfer (IVF-ET) is a key assisted reproductive technology.
- Evaluating the efficacy of IVF-ET is crucial for patient counseling and treatment decisions.
Purpose of the Study:
- To evaluate the efficacy of in vitro fertilization and embryo transfer (IVF-ET).
- To develop statistical models for predicting pregnancy rates in IVF-ET cycles.
Main Methods:
- Development of two statistical models: a beta-geometric model and a split population model.
- Analysis of 1,257 IVF-ET cycles performed between 1983-1987 at Yale University School of Medicine.
- Focus on the probability of achieving a viable pregnancy per cycle.
Main Results:
- Both developed models effectively explained the observed pregnancy rate data distribution.
- A decline in the conditional probability of achieving pregnancy after a series of unsuccessful IVF-ET cycles was inferred.
Conclusions:
- The study's findings raise questions about the rationale for continuing IVF-ET treatment indefinitely.
- A threshold number of unsuccessful cycles may indicate a point beyond which further treatment is less justifiable.