Neisseria Infections is an indication for drug development with over 60 pipeline drugs currently active. According to GlobalData, preregistered drugs for Neisseria Infections have a 100% 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 Neisseria Infections 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.

Neisseria Infections overview

Meningococcal disease refers to any illness caused by bacteria called Neisseria meningitidis. These illnesses are often severe, can be deadly, and include infections of the lining of the brain and spinal cord (meningitis) and bloodstream. Bacteria called Neisseria meningitidis cause meningococcal disease. About 1 in 10 people have these bacteria in the back of their nose and throat without being ill. This is called being ‘a carrier.’ Sometimes the bacteria invade the body and cause certain illnesses, which are known as meningococcal disease. Symptoms include genital discharge, pain or discomfort during urination, and, in women, pelvic inflammatory disease (PID)

For a complete picture of PTSR and LoA scores for drugs in Neisseria Infections, 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.