Acromegaly is an indication for drug development with over 10 pipeline drugs currently active. According to GlobalData, preregistered drugs for Acromegaly 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 Acromegaly compared to historical benchmarks. Buy the report here.

Smarter leaders trust GlobalData

Report-cover

Data Insights Likelihood of Approval Analysis for Acromegaly

Buy the Report

Data Insights

The gold standard of business intelligence.

Find out more

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.

Acromegaly overview

Acromegaly is a hormonal disorder that develops when pituitary gland produces too much growth hormone during adulthood. Symptoms include body odor, easy fatigue, headache, large feet, excessive height, swelling of the bony areas around a joint, widely spaced teeth, and sleep apnea. Treatment includes surgery, dopamine agonists, and growth hormone antagonists.

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