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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Auteurs principaux:	Yun-Feng Wang, Zi-Qi Guo, Jing-Xiang Han, Lin-Na Gao, Yu-Ming Liu, Kai Jia, Hao Chen, Tian Yao, He Huang
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-08-01
Collection:	Frontiers in Medicine
Sujets:	gastric cancer esophagojejunal anastomotic leakage type of anastomosis prediction model Bayesian network model
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1632214/full
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