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Dataset Information

Prediction of distant organ metastasis and overall survival of lung cancer patients: a SEER population-based cohort study.


ABSTRACT:

Background

Distant organ metastasis is a common event in lung cancer (LC). However, the preferential metastatic pattern of different pathological types of LC and its effect on prognosis have not been comprehensively elucidated. This study aimed to explore the distant metastasis pattern and construct nomograms predicting the metastasis and survival of LC patients using the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

LC data were downloaded from the SEER database to conduct logistic regression and investigate risk factors for developing organ metastasis. A Cox regression analysis was conducted to investigate prognostic factors of LC. A Kaplan-Meier analysis was used to estimate overall survival outcomes. Nomograms were constructed to predict the probab

SUBMITTER: Hao Y 

PROVIDER: S-EPMC10291234 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature