• admin@hevantra
• June 12, 2024

Objective

To evaluate and rank the comparative clinical efficacy of targeted therapeutics in prostate cancer using a Bayesian network meta-analysis (NMA) framework

Methods

• Conducted a systematic literature review (SLR) and feasibility assessments to ensure the validity of indirect comparisons
• Constructed a connected evidence network and implemented a Bayesian network meta-analysis (NMA) in R (gemtc)
• Assessed between-study heterogeneity (I², DIC), model convergence (Gelman–Rubin diagnostics), and performed extensive sensitivity analyses
• Estimated treatment effects on progression-free survival (PFS) and overall survival (OS), generating SUCRA-based rankings for all comparators

Outcome

Delivered decision-grade comparative efficacy inputs to support cost-effectiveness modelling and strengthen the payer value proposition for access submissions