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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: OBJECTIVE, METHODS, METHODS, METHODS, METHODS, METHODS, RESULTS. Meshes: Embryo Transfer, Female, Fertilization in Vitro, Humans, Models, Biological, Pregnancy, Probability.
user
Does heterogeneity in patient populations explain differences in in vitro fertilization programs? Context: To evaluate the efficacy of in vitro fertilization and embryo transfer (IVF-ET). Two different models for pregnancy rates in IVF-ET have been developed: a beta-geometric model and a split population model. All IVF cycles were performed at the Yale University School of Medicine in New Haven, Connecticut. All patients undergoing 1,257 IVF-ET cycles performed between the years 1983 through 1987. None. The probability of achieving a viable pregnancy per cycle. Because both models provide excellent explanations for our data distribution, the decline in the conditional probability of achieving pregnancy after a given number of unsuccessful cycles may be inferred.
assistant
These findings question the justification of continuing IVF-ET treatment beyond some threshold number of cycles. Final Decision: yes