Development of a nomogram model to predict survival outcomes in patients with primary hepatic neuroendocrine tumors based on SEER database.

ABSTRACT:

Background

Primary hepatic neuroendocrine tumors (PH-NETs) are extremely rare and unknown. Because of its rarity, its prognosis features and influencing factors are not well established.

Methods

Data of 140 patients with PH-NETs diagnosed in the SEER database from 1975 to 2016 were collected. The demographics and clinic-pathological features were described. By using propensity-score matching (PSM) analysis, three associated cohorts were selected to describe the malignancy of PH-NETs and univariate analysis was conducted. Then, multivariate Cox analyses were performed and a predicting nomograph was constructed. C-index, receiver operating characteristic (ROC) curve and calibration curves were used to evaluate the predictive value of nomogram.

Results

The overall surviv

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC8130428 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature