Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis.

ABSTRACT:

Purpose

In recent decades, diverse nomograms have been proposed to predict extraprostatic extension (EPE) in prostate cancer (PCa). We aimed to systematically evaluate the accuracy of MRI-inclusive nomograms and traditional clinical nomograms in predicting EPE in PCa. The purpose of this meta-analysis is to provide baseline summative and comparative estimates for future study designs.

Materials and methods

The PubMed, Embase, and Cochrane databases were searched up to May 17, 2023, to identify studies on prediction nomograms for EPE of PCa. The risk of bias in studies was assessed by using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). Summary estimates of sensitivity and specificity were obtained with bivariate random-effects model. Heterogeneity was investiga

SUBMITTER: Zhu M 

PROVIDER: S-EPMC10444717 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature