MK-0616 by Merck for Heterozygous familial hypercholesterolemia (heFH): Likelihood of Approval

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

MK-0616 overview

MK-0616 is under development for the treatment of atherosclerotic cardiovascular disease (ASCVD), hypercholesterolemia and heterozygous familial hypercholesterolemia (heFH). It is administered through oral route in the form of tablet or capsule. The drug candidate acts by targeting proprotein convertase subtilisin/kexin type 9 (PCSK9).

Merck overview

Merck is a biopharmaceutical company focused on the discovery, development, manufacturing and marketing of prescription medicines, biologic therapies, vaccines, and animal health products. It offers prescription products for therapy areas related to cardiovascular, cancer, immune disorders, infectious, respiratory, and diabetes. The company provides animal health products such as vaccines, poultry products, livestock products and aquaculture products. Merck sells medicines to drug wholesalers, retailers, hospitals, government agencies and managed health care providers; and animal health products to veterinarians, distributors and animal producers. The company and its subsidiaries operate in the Americas, Europe, the Middle East, Africa, Asia Pacific, and Latin America. Merck is known as MSD outside the US and Canada and is headquartered in Kenilworth, New Jersey, the US.

For a complete picture of MK-0616’s drug-specific PTSR and LoA scores, buy the report here.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.