Prognostic nomogram and epidemiological analysis for lung atypical carcinoid: A SEER database and external validation study.

ABSTRACT:

Purpose

Our study aims to delineate the epidemiological distribution of pulmonary carcinoids, including atypical carcinoid (AC) and typical carcinoid (TC), identify independent prognostic factors, develop an integrative nomogram and examine the effects of various surgical modalities on atypical carcinoid-specific survival (ACSS).

Methods

Joinpoint regression model and age-group distribution diagram were applied to determine the epidemiological trend of the pulmonary carcinoids. Univariate and least absolute shrinkage and selection operator (LASSO)-based Cox regression models were used to identify independent factors, and a nomogram and web-based predictor were developed to evaluate prognosis of AC patients individually. We performed Kaplan-Meier survival analyses to compare

SUBMITTER: Yi X 

PROVIDER: S-EPMC10807636 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature