Resiniferatoxin is under clinical development by Grunenthal and currently in Phase III for Osteoarthritis Pain. According to GlobalData, Phase III drugs for Osteoarthritis Pain have a 37% phase transition success rate (PTSR) indication benchmark for progressing into Pre-Registration. GlobalData’s report assesses how Resiniferatoxin’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

Resiniferatoxin overview

Resiniferatoxin is under development for the treatment of chronic osteoarthritic knee joint pain. The drug is administered through intraarticular route. It acts by targeting transient receptor potential vanilloid subtype 1 (TRPV1).

Grunenthal overview

Grunenthal is a research-oriented pharmaceutical company that researches, develops and markets products for the treatment of pain management and related diseases. Its portfolio includes a wide range of medicinal products for chronic and acute pain, nociceptive and neuropathic pain. The company’s products portfolio include Tramal used for the treatment of moderate to severe pain; Transtec used to treat moderate to severe cancer pain; and Vimovo used for the treatment of rheumatoid arthritis, osteoarthritis and ankylosing spondylitis. The company distributes products and operates in Europe, Latin America and the US. Grunenthal is headquartered in Aachen, Nordrhein-Westfalen, Germany.

For a complete picture of Resiniferatoxin’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.