Background Efforts to reduce cesarean delivery rates to 12–15% have been undertaken
worldwide. Special focus has been directed towards parturients who undergo a trial of labor …

OBJECTIVE: To create a simple tool for predicting the likelihood of successful trial of labor
after cesarean delivery (TOLAC) during the pregnancy after a primary cesarean delivery …

Background Investigators have attempted to derive tools that could provide clinicians with an
easily obtainable estimate of the chance of vaginal birth after cesarean delivery for those …

Objective: Our aim was to assess the utility and effectiveness of a neural network for
predicting the likelihood of success of a trial of labor, relative to standard multivariate …

OBJECTIVE: To develop a model based on factors available at the first prenatal visit that
predicts chance of successful vaginal birth after cesarean delivery (VBAC) for individual …

OBJECTIVE: To evaluate whether an existing vaginal birth after cesarean delivery (VBAC)
prediction model validated for women with one prior cesarean delivery also accurately …

Objective To investigate the validity of a prediction model for success of vaginal birth after
cesarean delivery (VBAC) in an ethnically diverse population. Methods We performed a …

OBJECTIVE: To develop and validate a predictive risk calculator for cesarean delivery
among women undergoing induction of labor. METHODS: We performed a population …

Objective: To develop a model to predict vaginal birth after cesarean (VBAC) in our
population and to compare the accuracy of this model to the accuracy of a previously …

Objective We aimed to validate a widely used US prediction model for vaginal birth after
cesarean (Grobman et al.[8]) and modify it to suit Swedish conditions. Study design Women …