Trimodal therapy versus radical cystectomy in muscle-invasive bladder cancer: The overlooked influence of informative censoring—A systematic review and meta-analysis.

F Fernando Blank (College of Medicine, University of Cincinnati, Cincinnati, OH) A Aaron Chen Zhang (College of Medicine, University of Cincinnati, Cincinnati, OH) D Daniele Robesti (Università Vita-Salute San Raffaele, Milan, Italy) G Giuseppe Fallara (Division of Urology, ASST Santi Paolo Carlo, Milano, Italy) A Andrea Gallina (Ospedale Regionale di Lugano, Lugano, Switzerland) F Francesco Montorsi (Dipartimento di Chimica industriale “Toso Montanari”, Università di Bologna, via Piero Gobetti 85, Bologna 40129, Italy) A Alberto Briganti (Urological Research Institute, Comprehensive Cancer Center, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan) N Nicola Fossati (Vita-Salute San Raffaele University, Milan, Italy) A Antoine Van Der Heijden (UMC St Radboud, Nijmegen, Netherlands) G Guillaume Ploussard (La Croix du Sud Hospital, Department of Urology, Quint-Fonsegrives, France) B Bernard Malavaud (Institut Universitaire du Cancer de Toulouse - Oncopole, Toulouse, France) A Alberto Martini (College of Medicine, University of Cincinnati, Cincinnati, OH)

Abstract

729 Background: Informative censoring (IC) is a statistical bias that occurs when dropout rates differ between study arms and the mechanism of dropout is not random but related to unmeasured or unaccounted-for factors. Comparative analyses of trimodal therapy (TMT) versus radical cystectomy (RC) in muscle-invasive bladder cancer (MIBC) have produced conflicting results, potentially reflecting such bias. We conducted a systematic review and meta-analysis to quantify the potential impact of informative censoring on reported oncological outcomes in studies comparing these two treatment modalities. Methods: A comprehensive literature search was performed to identify studies including patients with cT2–T4, any N, M0 MIBC treated with TMT or RC. Eligible studies were evaluated for the risk of informative censoring affecting oncological endpoints. Published Kaplan–Meier curves were digitally reconstructed to extract time-to-event data. The inverse Kaplan–Meier method and log-rank test were applied to detect evidence of IC. A simulation analysis was performed to estimate the minimum proportion of events among censored patients required to offset the potential bias introduced by IC. Results: Six studies encompassing 8,594 patients were included in the analysis; only four utilized propensity score matching. Censoring imbalances were detected in 10 of 12 reported outcomes, favoring RC in five cases and TMT in five. Overall, censoring patterns favored RC for overall survival (OS), metastasis-free survival, and disease-free survival (log-rank, all p < 0.01). These results remained consistent despite stratification by propensity score matching and neoadjuvant chemotherapy use. For OS, the minimum event proportion required to offset the influence of IC ranged from 16% to 33%. After adjustment for the potential presence of IC, RC retained a significant survival advantage over TMT (5-year OS: 42% vs. 30%; p < 0.001). Conclusions: Most retrospective studies comparing TMT and RC are at high risk of IC, which tends to bias results in favor of RC. RC was associated with superior oncological outcomes even after accounting for this bias. These findings underscore the methodological limitations of comparing TMT and RC in non-randomized settings and call into question the acceptance of TMT as an equivalent alternative to RC based on retrospective data alone.

Article Details

Volume / Issue Vol. 44, Issue 7_suppl
Published March 01, 2026
Pages 729-729
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (12)

F

Fernando Blank

College of Medicine, University of Cincinnati, Cincinnati, OH

A

Aaron Chen Zhang

College of Medicine, University of Cincinnati, Cincinnati, OH

D

Daniele Robesti

Università Vita-Salute San Raffaele, Milan, Italy

G

Giuseppe Fallara

Division of Urology, ASST Santi Paolo Carlo, Milano, Italy

A

Andrea Gallina

Ospedale Regionale di Lugano, Lugano, Switzerland

F

Francesco Montorsi

Dipartimento di Chimica industriale “Toso Montanari”, Università di Bologna, via Piero Gobetti 85, Bologna 40129, Italy

A

Alberto Briganti

Urological Research Institute, Comprehensive Cancer Center, IRCCS Ospedale San Raffaele, Vita-Salute San Raffaele University, Milan

N

Nicola Fossati

Vita-Salute San Raffaele University, Milan, Italy

A

Antoine Van Der Heijden

UMC St Radboud, Nijmegen, Netherlands

G

Guillaume Ploussard

La Croix du Sud Hospital, Department of Urology, Quint-Fonsegrives, France

B

Bernard Malavaud

Institut Universitaire du Cancer de Toulouse - Oncopole, Toulouse, France

A

Alberto Martini

College of Medicine, University of Cincinnati, Cincinnati, OH