ECC-5004 is under clinical development by AstraZeneca and currently in Phase I for Type 2 Diabetes. According to GlobalData, Phase I drugs for Type 2 Diabetes have a 65% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how ECC-5004’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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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.
ECC-5004 overview
ECC-5004 is under development for the treatment of non-alcoholic steatohepatitis (NASH/MASH), obesity and Type 2 diabetes. It acts by targeting glucagon like peptide (GLP)-1 receptor and it is administered through oral route.
AstraZeneca overview
AstraZeneca is a biopharmaceutical company, which is focused on discovery, production and commercialization of a range of prescription drugs. It develops products related to therapy areas such as respiratory, cardiovascular, renal and metabolic diseases, cancer, autoimmune, infection and neurological diseases. The company’s product portfolio includes biologics, prescription pharmaceuticals and vaccines. AstraZeneca sells its products through wholly- owned local marketing companies, distributors and local representative offices. The company markets its products to primary care and specialty care physicians. The company operates in Europe, the Americas, Asia, Africa and Australasia. AstraZeneca is headquartered in Cambridge, Cambridgeshire, the UK.
For a complete picture of ECC-5004’s drug-specific PTSR and LoA scores, buy the report here.
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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.
