Xu H, Shi L, Feng G, et al. - Previously, the AAFA (anti-Müllerian hormone level–antral follicle count–follicle-stimulating hormone level–age) model using following 4 predictors [anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age] was proposed for assessing ovarian reserves. Researchers examined whether a model for predicting ovarian reserves can be established using only 3 factors: AMH level, FSH level, and age. They retrospective collected oocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist at their reproductive center and defined poor ovarian response (< 5 oocytes retrieved) as an outcome variable. The proposed model was referred as the AFA (anti-Müllerian hormone level–follicle-stimulating hormone level–age) model and was created performing a multivariable logistic regression analysis on data from 2017. Validation of the performance of the model was done using data from 2018. Using the AFA and AAFA models, similar clinical pregnancy rate, live-birth rate, and specific differences were predicted. Outcomes suggest that relative to original AAFA model, this AFA model is more convenient, cost-effective, and objective for assessing the true ovarian reserve.