Secondary Progressive Multiple Sclerosis (SPMS) is an indication for drug development with over 40 pipeline drugs currently active. According to GlobalData, preregistered drugs for Secondary Progressive Multiple Sclerosis (SPMS) have a 95.24% likelihood of approval (LoA) indication benchmark. GlobalData’s report assesses how phase transition success rate (PTSR) and likelihood of approval (LoA) scores for pipeline drugs in Secondary Progressive Multiple Sclerosis (SPMS) compared to historical 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.
Secondary Progressive Multiple Sclerosis (SPMS) overview
Secondary progressive multiple sclerosis (SPMS) is a form of MS that follows relapsing-remitting MS (RRMS). In RRMS, people experience periods of relapses, when symptoms get worse, and remissions, when symptoms get better. In SPMS, symptoms gradually worsen over time without any clear relapses or remissions. SPMS usually occurs 10 to 15 years after the first MS symptoms, but it can be delayed or prevented by effective disease-modifying therapies (DMTs). SPMS can be active or not active, and with progression or without progression, depending on the presence of relapses, new MRI activity, or increased disability. SPMS is diagnosed by a neurologist based on the clinical history, neurological exam, and MRI scans. MRI scans can show the level of cell death and brain atrophy in MS. Treatment for SPMS may include DMTs to reduce the risk of relapses and slow down the progression of disability, as well as symptom management and rehabilitation strategies to improve quality of life.
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For a complete picture of PTSR and LoA scores for drugs in Secondary Progressive Multiple Sclerosis (SPMS), 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.
