Development and validation of a nomogram for the prediction of brain metastases in small cell lung cancer.

ABSTRACT:

Introduction

The aim was to develop and validate a nomogram for the prediction of brain metastases (BM) in small cell lung cancer (SCLC), to explore the risk factors and assist clinical decision-making.

Methods

We reviewed the clinical data of SCLC patients between 2015 and 2021. Patients between 2015 and 2019 were included to develop, whereas patients between 2020 and 2021 were used for external validation. Clinical indices were analysed by using the least absolute shrinkage and selection operator (LASSO) logistic regression analyses. The final nomogram was constructed and validated by bootstrap resampling.

Results

A total of 631 SCLC patients between 2015 and 2019 were included to construct model. Gender, T stage, N stage, Eastern Cooperative Oncology Group (ECOG),

SUBMITTER: Li W 

PROVIDER: S-EPMC10214575 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature