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ABSTRACT: Introduction
Lung large cell neuroendocrine carcinoma (L-LCNEC) is a rare, aggressive tumor, for which the optimal treatment strategies for LCNEC have not yet been established. In order to explore how to improve the outcome of prognosis for patients with LCNEC, this study investigated the effect of different treatments based on the data obtained from the Surveillance, Epidemiology, and End Results (SEER) database.Methods
A total of 2594 LCNEC cases with conditional information were extracted from SEER database. Propensity Score Matching (PSM) method was conducted to reduce possible bias between groups. One-way ANOVA was used to test the differences of characteristics between groups. Univariate and multivariate Cox proportional hazard models were applied to identify prognost
SUBMITTER: Gu J
PROVIDER: S-EPMC6558599 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature