Prognostic nomogram predicts overall survival in pulmonary large cell neuroendocrine carcinoma

• DOI: 10.1371/journal.pone.0223275
• Publication Date: 2019-09-27T17:31:44Z
• Authors: Yanqi He; Han Liu; Shuai Wang; Yu Chen
• Keywords: Nomogram; Concordance; Univariate; T-stage

Background Large cell neuroendocrine carcinoma (LCNEC) is a rare and typically aggressive malignancy with poor prognosis. This study developed nomogram model to predict the overall survival (OS) of patients LCNEC. Methods LCNEC were identified from Surveillance, Epidemiology, End Results database between 2004–2014. Univariate multivariate Cox regression models used determine demographic clinicopathological features associated OS. A was generated OS its performance assessed by Harrell's concordance index (C-index), calibration plots, subgroup analysis risk scores. Of 3048 eligible LCNEC, 2138 randomly grouped into training set 910 validation set. Age at diagnosis, gender, tumor stage, N size, surgery primary site independent prognostic factors C-index values 0.75 (95% CI, 0.74–0.76) 0.76 0.74–0.77) in sets, respectively. In both cohorts, plots showed good predicted observed 3 5 years. Kaplan-Meier curves revealed significant differences stratified nomogram-based score, higher-than-median score had poorer Conclusion first validated large population-based cohort for predicting it shows favorable discrimination abilities. Use this proposed has potential improve prediction risk, lead individualized clinical decisions