Bunch of small mushrooms

Bayesian Network Meta-analysis

1 minute read

Published: December 4th, 2021

Hepatitis B virus (HBV) infection is among the most common persistent viral infections in humans. Chronic infection of HBV (CHB) can lead to serious medical complications such as cirrhosis, hepatocellular carcinoma, and liver failure. Surrogate markers are often used to monitor the progression of the disease and patients are treated with antiviral agents to reduce the risk of developing complications. A wide variety of competing drugs are available to patients but measuring how effective these treatments are can be problematic. The only network meta-analysis in this area had a several methodological limitations, reducing the confidence in the results produced. The systematic review was updated with additional trials, and additional methodological requirements accounted for in the network. The aim was to determine which treatment is the most effective in treating CHB patients by analysing surrogate outcomes in CHB.

Complete the form below to read the full case study

Related articles

Translating Real-World Data into Commercial Success with Outcome Modelling 

Translating Real-World Data into Commercial Success with Outcome Modelling 

July 13th, 2026 1 minute read

Demonstrating real-world value is critical for securing pricing and market access, but bridging the gap between clini...

Scaling Real-World Evidence to Maximize Drug Lifecycle Value 

Scaling Real-World Evidence to Maximize Drug Lifecycle Value 

July 13th, 2026 1 minute read

Biopharma organizations have access to vast amounts of real-world data, but extracting meaningful, actionable insight...

Extending Trial Value with Long-Term Benefit–Risk Simulation in Prostate Cancer

Extending Trial Value with Long-Term Benefit–Risk Simulation in Prostate Cancer

July 13th, 2026 1 minute read

Demonstrating short-term efficacy is no longer enough, regulators increasingly require a clear understanding of long-...