Musculoskeletal Inflammation is an indication for drug development with over 70 pipeline drugs currently active. According to GlobalData, preregistered drugs for Musculoskeletal Inflammation have a 83.33% 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 Musculoskeletal Inflammation 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.
Musculoskeletal Inflammation overview
Musculoskeletal inflammation refers to the body’s response to irritation, injury, or infection affecting muscles, bones, joints, ligaments, or tendons. Conditions like arthritis, tendinitis, bursitis, or muscle strains often trigger this response. Inflammation manifests as pain, swelling, stiffness, and reduced mobility in the affected area. Causes vary—from overuse or trauma to autoimmune disorders like rheumatoid arthritis. Treatment aims to reduce inflammation and manage symptoms, involving rest, ice or heat therapy, medications (such as NSAIDs or corticosteroids), physical therapy, or lifestyle modifications. In chronic cases, ongoing management focuses on controlling inflammation to improve quality of life and maintain functionality.
For a complete picture of PTSR and LoA scores for drugs in Musculoskeletal Inflammation, 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.
