Analysis of risk factors for esophagojejunal anastomotic leakage after total gastrectomy based on Bayesian network model

Analysis of risk factors for esophagojejunal anastomotic leakage after total gastrectomy based on Bayesian network model

ObjectivesThis research aims to develop a nomogram for predicting esophagojejunal anastomotic leakage (EJAL) after total gastrectomy and analyze the relationship between individual risk factors through the Bayesian network model.Materials and methodsThe research enrolled 238 patients who underwent t...

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Bibliographic Details
Main Authors: Yun-Feng Wang, Zi-Qi Guo, Jing-Xiang Han, Lin-Na Gao, Yu-Ming Liu, Kai Jia, Hao Chen, Tian Yao, He Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Medicine
Subjects:
gastric cancer
esophagojejunal anastomotic leakage
type of anastomosis
prediction model
Bayesian network model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1632214/full
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