Analyzing and predicting the LNM rate and prognosis of patients with intraductal papillary mucinous neoplasm of the pancreas.

ABSTRACT:

Background

Current the surveillance and management are controversial for patients with IPMN. We aimed to develop an alternative nomogram to individualize IPMN prognosis and LNM.

Methods

Based on the data from SEER database of patients diagnosed with IPMN between 2004 and 2015, a nomogram predicting the survival and LNM of IPMN based on univariate and multivariate and Lasso regression analysis was performed, internally and externally validated, and measured by C-index, and decision curve analysis (DCA), and compared to the 7^th TNM stage.

Results

A total of 941 patients were included. Age, T stage examined nodes, tumor size, and pathology grade were identified as an independent factor for predicting LNM. The nomogram we established to predict LNM had a high p

SUBMITTER: Tang CT 

PROVIDER: S-EPMC7957210 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature