Nomograms for predicting cancer-specific survival in patients with primary central nervous system lymphoma: a population-based analysis.

ABSTRACT:

Background

This study identified the risk factors for survival in patients with primary central nervous system lymphoma (PCNSL). Nomograms were developed and validated to predict individualized overall survival (OS) and cancer-specific survival (CSS) in this particular cohort.

Methods

Patients diagnosed with PCNSL between 1975 and 2016 were selected from the Surveillance, Epidemiology, and End Results (SEER) database for this study. The Cox regression model, the Fine and Grey's model, and the backward method were applied to determine the risk factors for OS and CSS. Nomograms were established accordingly. Internal and external validation was performed in an Asian population to examine the accuracy of the nomograms.

Results

A total of 5,900 patients with PCNSL were ide

SUBMITTER: Yang C 

PROVIDER: S-EPMC8339814 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature