Unknown

Dataset Information

Development and Validation of a Nomogram Prognostic Model for SCLC Patients.


ABSTRACT: INTRODUCTION:SCLC accounts for almost 15% of lung cancer cases in the United States. Nomogram prognostic models could greatly facilitate risk stratification and treatment planning, as well as more refined enrollment criteria for clinical trials. We developed and validated a new nomogram prognostic model for SCLC patients using a large SCLC patient cohort from the National Cancer Database (NCDB). METHODS:Clinical data for 24,680 SCLC patients diagnosed from 2004 to 2011 were used to develop the nomogram prognostic model. The model was then validated using an independent cohort of 9700 SCLC patients diagnosed from 2012 to 2013. The prognostic performance was evaluated using p value, concordance index and integrated area under the (time-dependent receiver operating characteristic) curve (AUC)

SUBMITTER: Wang S 

PROVIDER: S-EPMC7678404 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature