Machine learning-based nomogram for 30-day mortality prediction for patients with unresectable malignant biliary obstruction after ERCP with metal stent: a retrospective observational cohort study

Machine learning-based nomogram for 30-day mortality prediction for patients with unresectable malignant biliary obstruction after ERCP with metal stent: a retrospective observational cohort study

Abstract Background This study aimed to investigate the risk factors for 30-day mortality in patients with malignant biliary obstruction (MBO) after endoscopic retrograde cholangiopancreatography (ERCP) with endobiliary metal stent placement. Furthermore, we aimed to construct and visualize a predic...

Full description

Bibliographic Details
Main Authors: Zongdong Zhu, Kaixin Hu, Fengqing Zhao, Wen Liu, Hongkun Zhou, Zongliang Zhu, Huangbao Li
Format: Article
Language:English
Published: BMC 2023-08-01
Series:BMC Surgery
Subjects:
Endoscopic retrograde cholangiopancreatographies
Nomogram
Stent
Malignant bile duct obstruction
Biliary drainage
Mortality
Online Access:https://doi.org/10.1186/s12893-023-02158-5

Internet

https://doi.org/10.1186/s12893-023-02158-5

Similar Items