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Full-Text Articles in Medicinal and Pharmaceutical Chemistry
Meta-Analysis To Identify And Evaluate Factors Associated With Regulatory Approval Of Orphan Drugs (Od) To Develop An Algorithm For Predicting Regulatory Approval (Success) And To Develop A Standardized Tool To Improve Orphan Drug Portfolio Decision-Making, Milky C. Florent
Seton Hall University Dissertations and Theses (ETDs)
Background and Purpose of the Study: Developed an algorithm (AODI) for predicting probability of regulatory success (PRS) for new orphan drugs after phase II testing has been conductedwith the objective of providing a tool to improve drug portfolio decision-making.Methods: Examined 132 studies from recent publications (2005 onwards). Data on safety, efficacy, operational, market, and company characteristics were obtained from public sources. Meta-analysis and meta-regressions were used to provide an unbiased approach to assess overall predictability and to identify the most important individual predictors.Results: Found that a simple three-factor model (disease prevalence, clinical trial duration and clinical trial …