A nomogram predicting the risk of extrathoracic metastasis at initial diagnosis of T_≤3cmN₀ lung cancer.

ABSTRACT:

Background

The risk and risk factors of extrathoracic metastasis at initial diagnosis in T_≤3cmN₀ lung cancer patients are not fully understood. We aimed to develop a model to predict the risk of extrathoracic metastasis in those patients.

Methods

Clinicopathological data of patients were collected from Surveillance, Epidemiology, and End Results (SEER) database. Univariable and multivariable analyses using logistic regression were conducted to identify risk factors. A predictive model and corresponding nomogram were developed based on the risk factors. The model was assessed using the area under the receiver operating characteristic curve (AUC), Hosmer-Lemeshow test, and decision curve.

Results

A total of 20,057 T_≤3cmN₀ pati

SUBMITTER: Wang T 

PROVIDER: S-EPMC11384498 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature