Siremadlin succinate is under clinical development by Novartis and currently in Phase II for Post-Essential Thrombocythemia Myelofibrosis (Post-ET MF). According to GlobalData, Phase II drugs for Post-Essential Thrombocythemia Myelofibrosis (Post-ET MF) have a 67% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Siremadlin succinate’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.
Siremadlin succinate overview
Novartis overview
Novartis is a healthcare company that focuses on the discovery, development, manufacture and marketing of prescription and generic pharmaceutical products and eye care products. It provides drugs for the treatment of cancer, cardiovascular diseases, dermatological conditions, neurological disorders, ophthalmic and respiratory diseases, hematologic diseases, solid tumors, immune disorders, and infections, among others. Novartis conducts research in various disease areas through the BioMedical Research division. The company operates through a network of subsidiaries and offices across the Americas, Europe, the Middle East, Africa, and Asia-Pacific. Novartis is headquartered in Basel, Switzerland.
For a complete picture of Siremadlin succinate’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.
