Development and validation of prognostic nomograms for patients with periampullary neuroendocrine neoplasms

#3350

Introduction: Periampullary neuroendocrine neoplasms (NENs) are rare tumors that lack a prognostic prediction model.

Aim(s): We aimed to design comprehensive and effective nomograms to predict prognosis in patients with periampullary NENs.

Materials and methods: A total of 1349 periampullary NENs patients were retrieved from the surveillance, epidemiology, and end results database and further randomly assigned to training and validation sets. Cox analysis was used to identify significant factors for the construction of nomograms. The discrimination and calibration of the nomogram were evaluated using calibration plots, concordance index (C‐index), and area under the receiver operating characteristic curve (AUC). Decision curve analysis (DCA) was used to compare the clinical applicability of nomograms, AJCC stage, and SEER stage.

Conference:

Presenting Author: Chen J

Authors: Chen J, Chen Q, Zhou J, Zhao H,

Keywords: periampullary neuroendocrine neoplasm, prognosis, nomogram, SEER,