Predicting Survival in Patients with a Neuroendocrine Tumor of the Small Intestine (SI-NET) Abstract #2977

Introduction: SI-NET comprise the largest group of neuroendocrine tumors. Because of their heterogeneity, predicting survival has proven challenging. A nomogram (NG) to assess SI-NET disease specific survival (DSS) has been developed in 2010 by Modlin, et al. based on analysis of retrospective data from the Surveillance, Epidemiology and End Results (SEER) database.
Aim(s): To assess the validity of this NG and identify predictors of survival in a large Dutch cohort.
Materials and methods: Four hundred consecutive patients (pts) with a grade 1 or 2 SI-NET were included between January 2000 and June 2016. NG scores were calculated and 5- and 10-year survival probabilities were subsequently divided in high, medium and low risk categories based on NG score. Actual survival in the patient groups was calculated and cox regression was used to identify predictors of survival.
Conference: 17th Annual ENETS Conference 2020 (2020)
Category: Epidemiology/Natural history/Prognosis - Registries, nationwide and regional surveys
Presenting Author: MD Sonja Levy
Keywords: SI-NET, Nomogram, Survival

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