Survival analysis and nomogram for pulmonary sarcomatoid carcinoma: an SEER analysis and external validation.

ABSTRACT:

Objective

Uncommon and particularly deadly, pulmonary sarcomatoid carcinoma (PSC) is an aggressive type of lung cancer. This research aimed to create a risk categorisation and nomogram to forecast the overall survival (OS) of patients with PSC.

Methods

To develop the model, 899 patients with PSC were taken from the Surveillance, Epidemiology, and End Results database from the USA. We also used an exterior verification sample of 34 individuals with PSC from Fujian Provincial Hospital in China. The Cox regression hazards model and stepwise regression analysis were done to screen factors in developing a nomogram. The nomogram's ability to discriminate was measured employing the area under a time-dependent receiver operating characteristic curve (AUC), the concordance index (C-i

SUBMITTER: Wu W 

PROVIDER: S-EPMC10583103 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature