Prognostic nomogram for predicting long-term survival in bronchopulmonary carcinoid tumor patients receiving resection.

ABSTRACT:

Background

We analyzed bronchopulmonary carcinoid tumor (BPC) patients receiving resection from the Surveillance, Epidemiology, and End Results (SEER) database to identify the predictive factors of their survival. Then, we developed and validated nomograms to predict overall survival (OS) and cancer-specific survival (CSS) in BPC patients.

Methods

BPC patients registered in the SEER database were included. They were divided into a training set and an internal validation set (7:3). BPC patients from our center were included as an external validation set. Independent prognostic factors identified by a Cox regression model in the training set were used to construct nomograms to predict survival. Discrimination and calibration plots were used to evaluate the predictive accuracy

SUBMITTER: Li Q 

PROVIDER: S-EPMC8506713 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature