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.

Cervical Intraepithelial Neoplasia (CIN) overview

Cervical intraepithelial neoplasia (CIN), also known as cervical dysplasia, is characterized by the abnormal appearance of cells on the surface of the cervix. Cervical dysplasia usually occurs in women ages 25 to 35. Most cases of cervical dysplasia are caused by human papillomavirus (HPV). Factors contributing to cervical dysplasia include using immunosuppressants and smoking. Signs and symptoms include genital warts, abnormal bleeding, spotting after intercourse, vaginal discharge, and low back pain.

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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.

Data Insights Likelihood of Approval Analysis for Cervical Intraepithelial Neoplasia (CIN)