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Dataset Information

Development and validation of two prognostic nomograms for predicting survival in patients with non-small cell and small cell lung cancer.


ABSTRACT:

Purpose

This study aimed to construct two prognostic nomograms to predict survival in patients with non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) using a novel set of clinical parameters.

Patients and methods

Two nomograms were developed, using a retrospective analysis of 5384 NSCLC and 647 SCLC patients seen during a 10-year period at Xiang Ya Affiliated Cancer Hospital (Changsha, China). The patients were randomly divided into training and validation cohorts. Univariate and multivariate analyses were used to identify the prognostic factors needed to establish nomograms for the training cohort. The model was internally validated via bootstrap resampling and externally certified using the validation cohort. Predictive accuracy and discriminatory capabi

SUBMITTER: Xiao HF 

PROVIDER: S-EPMC5610004 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature