Development and validation of a predictive model for choledocholithiasis.
Raúl Huerta-ReynaLorenzo Guevara-TorresMario Aurelio Martínez-JiménezFrancisco Armas-ZarateJorge Aguilar-GarcíaLuis Ivan Waldo-HernándezMarco Ulises Martínez-MartínezPublished in: World journal of surgery (2024)
The developed algorithm accurately predicts choledocholithiasis non-invasively in patients with symptomatic gallstones. This tool has the potential to reduce reliance on costly or invasive procedures like magnetic resonance cholangiopancreatography and ERCP, offering a more efficient and cost-effective approach to patient management. The user-friendly calculator developed in this study could streamline diagnostic procedures, particularly in resource-limited healthcare settings, ultimately improving patient care.