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
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Mauris non dignissim purus, ac commodo diam. Donec sit amet lacinia nulla. Aliquam quis purus in justo pulvinar tempor. Aliquam tellus nulla, sollicitudin at euismod