Lupus Nephritis is an indication for drug development with over 70 pipeline drugs currently active. According to GlobalData, preregistered drugs for Lupus Nephritis 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 Lupus Nephritis 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.

Lupus Nephritis overview

Lupus nephritis is a severe complication of systemic lupus erythematosus (SLE), an autoimmune disease that affects various organs, tissues, and systems within the body. Lupus nephritis specifically involves inflammation of the kidneys, leading to kidney damage and impaired kidney function. In systSLE, the body’s immune system mistakenly attacks its own tissues and organs, including the kidneys, causing inflammation. Not all individuals with SLE develop lupus nephritis, but it can significantly impact those who do. Symptoms of lupus nephritis can vary widely, ranging from mild to severe, and can include high blood pressure; swelling, particularly in the legs, feet, hands, or face; dark urine or blood in the urine; proteinuria (excessive protein in the urine); reduced urine output; fatigue; and general discomfort.

For a complete picture of PTSR and LoA scores for drugs in Lupus Nephritis, 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.