An objective way to predict remission and relapse in Cushing disease using Bayes ’ theorem of probability

ConclusionsUsing various parameters, remission of Cushing disease can be predicted by applying Bayes ’ theorem of conditional probability with a sensitivity and a specificity of 82% and 94%, respectively. This study provided an objective way of predicting remission after TSS and relapse in patients with Cushing disease giving a weightage advantage to every parameter.

Source: Journal of Endocrinological Investigation - April 15, 2024 Category: Endocrinology Source Type: research