Ontology highlight
ABSTRACT: Background
An accurate and early diagnosis of bladder cancer (BC) is essential to offer patients the most appropriate treatment and the highest cure rate. For this reason, patients need to be best stratified by class and risk factors. We aimed to develop a score able to better predict cancer outcomes, using serum variables of inflammation.Methods
A total of 1,510 high-risk non-muscle invasive bladder cancer (NMIBC) patients were included in this retrospective observational study. Patients with pathologically proven T1 HG/G3 at first TURBT were included. Systemic combined inflammatory score (SCIS) was calculated according to systemic inflammatory markers (SIM), modified Glasgow prognostic score (mGPS), and prognostic nutritional index (PNI) dichotomized (final score from 0 t
SUBMITTER: Ferro M
PROVIDER: S-EPMC7947442 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature