Anemia in Chronic Kidney Disease (Renal Anemia) is an indication for drug development with over 40 pipeline drugs currently active. According to GlobalData, preregistered drugs for Anemia in Chronic Kidney Disease (Renal Anemia) have a 75% 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 Anemia in Chronic Kidney Disease (Renal Anemia) compared to historical benchmarks. Buy the report here.

Smarter leaders trust GlobalData

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.

Anemia in Chronic Kidney Disease (Renal Anemia) overview

Renal anemia is a disease in which the patient has an unusually low count of red blood cells associated with kidney disease. This type of anemia is caused by a lack of erythropoietin, a protein produced in the kidneys that helps to create red blood cells. Symptoms caused by renal anemia include pale skin and gums, shortness of breath, dizziness, and inability to think clearly.

For a complete picture of PTSR and LoA scores for drugs in Anemia in Chronic Kidney Disease (Renal Anemia), buy the report here.

Data Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

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.