Nomograms to predict individual prognosis of patients with squamous cell carcinoma of the urinary bladder.

ABSTRACT: BACKGROUND:On the basis of some significant clinical parameters, we had an intent to establish nomograms for estimating the prognosis of patients with squamous cell carcinoma of the urinary bladder (SCCB), including overall survival (OS) and cancer-specific survival (CSS). METHODS:The data of 1210 patients diagnosed with SCCB between 2004 and 2014,were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The Cox proportional hazards regression model was applied to evaluate the association between variables and survival. Nomograms were constructed to predict the OS and CSS of an individual patient based on the Cox model. In the end, the performance of nomograms was internally validated by using calibration curves, concordance index (C-index), and k-fold cross-valid

SUBMITTER: Zhang G 

PROVIDER: S-EPMC6902456 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature