KSP-1007 is under clinical development by Sumitomo Pharma and currently in Phase I for Complicated Intra-Abdominal Infections. According to GlobalData, Phase I drugs for Complicated Intra-Abdominal Infections have an 86% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how KSP-1007’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.
KSP-1007 overview
Sumitomo Pharma overview
Sumitomo Pharma, formerly Sumitomo Dainippon Pharma Co Ltd, develops, manufactures, sells, imports and exports pharmaceutical products. The company drugs are focused on major therapeutic areas which include regenerative diseases, oncology, psychiatry and neurology and infectious diseases. It also offers veterinary medicines for companion animals, primarily dogs, and cats, as well as for livestock such as cattle, swine, poultry, horses, and aquacultured fish. The company offers food additives, chemical product materials, food ingredients, and other products. Sumitomo Pharma has research laboratories and manufacturing and distribution facilities in Japan. The company operates through subsidiaries and offices in North America, Europe, and Asia Pacific. Sumitomo Pharma is headquartered in Chuo-ku, Osaka, Japan.
For a complete picture of KSP-1007’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.
