biostudies-literatureUnknown19(12)Alimohamed NS<h4>Introduction</h4>Approximately 25% of patients diagnosed with bladder cancer have muscle-invasive disease (MIBC). While real-world data have highlighted opportunities to improve curative-intent treatment rates, comprehensive population-level data in Canada are limited. This study aimed to assess patterns of care and outcomes in a real-world cohort of MIBC in Canada.<h4>Methods</h4>This retrospective, observational study describes baseline characteristics, treatment patterns, and overall survival (OS) of individuals with de novo MIBC diagnosed between 2010 and 2020 in Alberta, Canada. Data from adult patients with MIBC (T2-T4, N0/1, M0) were obtained from administrative databases and analyzed using basic statistics, multivariate regression analyses, and the Kaplan-Meier method.<h4>ResulCanadian Urological Association journal = Journal de l'Association des urologues du Canada393-402https://www.ebi.ac.uk/biostudies/studies/S-EPMC12705154biostudies-literatureA population-based analysis of patterns of care in patients with de novo muscle-invasive bladder cancer from Alberta, Canada.PMC12705154Blais NWallis CJDKulkarni GSStephen MOsborne BJWEigl BJCheung WYBlack PCGotto GLalani AASridhar SSKokorovic AKassouf WAlimohamed NSfalseA population-based analysis of patterns of care in patients with de novo muscle-invasive bladder cancer from Alberta, Canada.<h4>Introduction</h4>Approximately 25% of patients diagnosed with bladder cancer have muscle-invasive disease (MIBC). While real-world data have highlighted opportunities to improve curative-intent treatment rates, comprehensive population-level data in Canada are limited. This study aimed to assess patterns of care and outcomes in a real-world cohort of MIBC in Canada.<h4>Methods</h4>This retrospective, observational study describes baseline characteristics, treatment patterns, and overall survival (OS) of individuals with de novo MIBC diagnosed between 2010 and 2020 in Alberta, Canada. Data from adult patients with MIBC (T2-T4, N0/1, M0) were obtained from administrative databases and analyzed using basic statistics, multivariate regression analyses, and the Kaplan-Meier method.<h4>Resul2025-01-01T00:00:00Z2025 Dec2026-06-06T03:45:02.809Z2026-05-25T03:11:23.967ZS-EPMC127051544089310010.5489/cuaj.9111