The pharmaceutical industry and its global regulators have routinely used frequentist statistical methods, such as null hypothesis significance testing and p values, for evaluation and approval of new treatments. The clinical drug development process, however, with its accumulation of data over time, can be well suited for the use of Bayesian statistical approaches that explicitly incorporate existing data into clinical trial design, analysis and decision-making. Such approaches, if used appropriately, have the potential to substantially reduce the time and cost of bringing innovative medicines to patients, as well as to reduce the exposure of patients in clinical trials to ineffective or unsafe treatment regimens.
View Article and Find Full Text PDFIntroduction And Objectives: Left dominant arrhythmogenic cardiomyopathy (LDAC) has recently been recognized as falling on the spectrum of arrhythmogenic cardiomyopathy. It is characterized by fibroadipose replacement of the left ventricle. The aim of this study was to describe the most frequent forms of clinical presentation of LDAC, imaging findings, and events at follow-up, highlighting the importance of cardiac magnetic resonance (CMR).
View Article and Find Full Text PDFTher Innov Regul Sci
November 2017
Background: The purpose of this study is to address concerns that expanded access may negatively impact the ultimate regulatory action and product labeling for new drugs.
Methods: We performed queries of FDA's Center for Drug Evaluation and Research (CDER) document tracking system to determine the effect of expanded access on FDA's regulatory decision making from 2010 through 2016. We also examined product labeling to determine whether safety events occurring under expanded access had an adverse effect on the approved product labeling.