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ABSTRACT: Purpose
Patients with gastric neuroendocrine neoplasms (GNENs) face elevated risks of second primary malignancies (SPMs), yet tools for personalized risk prediction are lacking. This study aimed to explore the risk factors associated with the development of SPMs in patients with GNENs and to establish a new competing-risk nomogram to predict the occurrence of SPMs.Methods
We obtained clinical data for GNENs patients from the Surveillance, Epidemiology, and End Results (SEER) database covering the period from 2000 to 2015. Using Fine and Gray's proportional sub-distribution hazards model, potential risk factors for SPM development in GNENs' patients were identified. A competing-risk nomogram was then constructed to quantify the probability of SPMs' occurrence and was evaluat
SUBMITTER: Yang P
PROVIDER: S-EPMC12018659 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature