Meta-Analytic Bayesian Model For Differentiating Intestinal Tuberculosis from Crohn's Disease.

ABSTRACT:

Objectives

Distinguishing intestinal tuberculosis (ITB) from Crohn's disease (CD) is difficult, although studies have reported clinical, endoscopic, imaging, and laboratory findings that help to differentiate these two diseases. We aimed to produce estimates of the predictive power of these findings and construct a comprehensive model to predict the probability of ITB vs. CD.

Methods

A systematic literature search for studies differentiating ITB from CD was conducted in MEDLINE, PUBMED, and EMBASE from inception until September 2015. Fifty-five distinct meta-analyses were performed to estimate the odds ratio of each predictive finding. Estimates with a significant difference between CD and ITB and low to moderate heterogeneity (I²<50%) were incorporated into a Bay

SUBMITTER: Limsrivilai J 

PROVIDER: S-EPMC5551982 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature