Which Measure of Stone Burden is the Best Predictor of Interventional Outcomes in Urolithiasis: A Systematic Review and Meta-analysis by the YAU Urolithiasis Working Group and EAU Urolithiasis Guidelines Panel

Which Measure of Stone Burden is the Best Predictor of Interventional Outcomes in Urolithiasis: A Systematic Review and Meta-analysis by the YAU Urolithiasis Working Group and EAU Urolithiasis Guidelines Panel

Background and objective: Stone size has traditionally been measured in one dimension. This is reflected in most of the literature and in the EAU guidelines. However, recent studies have shown that multidimensional measures provide better prediction of outcomes. Methods: We performed a systematic re...

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Bibliographic Details
Main Authors: Robert Geraghty, Amelia Pietropaolo, Lazaros Tzelves, Riccardo Lombardo, Helene Jung, Andreas Neisius, Ales Petrik, Bhaskar K. Somani, Niall F. Davis, Giovanni Gambaro, Romain Boissier, Andreas Skolarikos, Thomas Tailly
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:European Urology Open Science
Subjects:
Urolithiasis
Stone burden
Single linear measurement
Multidimensional measures
Stone-free rate
Predictor
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168324014125
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