Bringing liraglutide to market: a CER case study.

BACKGROUND

Faced with competition from other drugs and therapies, drug manufacturers may be able to use comparative effectiveness research (CER) to help reduce barriers to a new drug's adoption and integration into formularies. But few examples exist to show how CER can be used effectively and whether the data can make a difference.

OBJECTIVES

To examine how CER can help strengthen a new drug's entry into the market and integration into formularies, and how ongoing CER might be valuable as a drug is implemented in the real world.

SUMMARY

A roundtable of 9 representatives from health plans, including formulary decision makers, evaluated how CER in phase 3 development of a new drug can add to the drug's strength of evidence, helping decision makers understand how and where to integrate that drug into a formulary. The round table participants viewed, as a case study, the development of liraglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist for adults with type 2 diabetes that was approved by the FDA in January 2010. With this drug, CER was incorporated into an extensive type 2 diabetes clinical development program, comparing how the drug worked in comparison with other established therapies. Although there are many antidiabetic drugs available for use, patients with type 2 diabetes often need additional agents. The FDA approved liraglutide with the conclusion that benefits of the drug outweighed potential risks but noted the association with pancreatitis in humans and animal data that showed rare medullary thyroid cancer associated with liraglutide. Roundtable participants agreed that while pre-launch CER can be valuable, ongoing real-world research is also important for confirming expected results, identifying additional uses and indications and managing risks. The participants also suggested opportunities for additional CER studies and made recommendations for manufacturers.

CONCLUSIONS

Roundtable thought leaders agreed that well-planned trial designs incorporating CER result in high-quality evidence that may provide sufficient data to support adoption of a new therapy onto the formulary. When more real-world data become available and confirm the phase 3 clinical trial results, decision makers may be able to use the results to change the drug's position and either lessen or extend its use.