Development and Validation of a Nomogram for Predicting Overall Survival in Pancreatic NeuroendocrineTumors

Translational Oncology
Dong-Liu MiaoLei Chen

Abstract

The objective of current study was to develop and validate a nomogram to predict overall survival in pancreatic neuroendocrine tumors (PNETs). The Surveillance, Epidemiology, and End Results (SEER) database was queried for patients with PNETs between 2004 and 2015. Patients were randomly separated into the training set and the validation set. Cox regression model was used in training set to obtain independent prognostic factors to develop a nomogram for predicting overall survival (OS). The discrimination and calibration plots were used to evaluate the predictive accuracy of the nomogram. A total of 3142 patients with PNETs were collected from the SEER database. Sex, age, marital status, primary site, TNM stage, tumor grade, and therapy were associated with OS in the multivariate models. A nomogram was constructed based on these variables. The nomogram for predicting OS displayed better discrimination power than the Tumor-Node-Metastasis (TNM) stage systems 7th edition in the training set and validation set. The calibration curve indicated that the nomogram was able to accurately predict 3- and 5-year OS. The nomogram which could predict 3- and 5-year OS were established in this study. Our nomogram showed a good performance, su...Continue Reading

Citations

Apr 3, 2021·Journal of Affective Disorders·Emma BrännAlkistis Skalkidou

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Software Mentioned

R
Hmisc
Stat
rcorrp
SEER
cens
SPSS

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