Survival prediction by Bayesian network modeling for pseudomyxoma peritonei after cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy

Autor:	Xin Zhao, Xinbao Li, Yulin Lin, Ru Ma, Ying Zhang, Dazhao Xu, Yan Li
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	Bayesian network cytoreductive surgery hyperthermic intraperitoneal chemotherapy pseudomyxoma peritonei survival prognostic model Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Zdroj:	Cancer Medicine, Vol 12, Iss 3, Pp 2637-2645 (2023)
Druh dokumentu:	article
ISSN:	2045-7634
DOI:	10.1002/cam4.5138
Popis:	Abstract Objectives To establish a survival prognostic model for pseudomyxoma peritonei (PMP) treated with cytoreductive surgery (CRS) plus hyperthermic intraperitoneal chemotherapy (HIPEC) based on Bayesian network (BN). Methods 453 PMP patients were included from the database at our center. The dataset was divided into a training set to establish BN model and a testing set to perform internal validation at a ratio of 8:2. From the training set, univariate and multivariate analyses were performed to identify independent prognostic factors for BN model construction. The confusion matrix, receiver operating characteristic (ROC) curve and the area under curve (AUC) were used to evaluate the performance of the BN model. Results The univariate and multivariate analyses identified 7 independent prognostic factors: gender, previous operation history, histological grading, lymphatic metastasis, peritoneal cancer index, completeness of cytoreduction and splenectomy (all p
Databáze:	Directory of Open Access Journals
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