Sponsors are generally aware of the commonly held Type B FDA meetings, from pre-IND to End of Phase 2 (EOP2) to pre-NDA/BLA, but how often do you take advantage of additional Type C meetings for agency feedback? Continued discussion and input from the agency can be very beneficial, even outside of the milestones that allow for a Type B Meeting.
The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) adopted a harmonized drug-drug interaction (DDI) guidance (ICH M12) in May 2024. The next step is for this guidance to be implemented by ICH members; the FDA and EMA have already implemented the guidance. Read our blog for key highlights of the 2024 ICH M12 Guidance.
Sponsors often rely on Standardized MedDRA Queries (SMQs) to group adverse events for detection of safety signals across clinical trials. Additionally, the FDA has introduced their own version of adverse event groupings – FDA MedDRA Queries (FMQs). So, what’s the difference?
Diversity Action Plans will soon be required for phase 3 clinical trials and other pivotal studies of drugs and biological products conducted in the US. Are you ready for this requirement?
Responding to information requests (IRs) from FDA during review of a marketing application can be stressful. How do you survive the rollercoaster of requests? We have outlined useful tips and best practices for managing responses to IRs during FDA review of your marketing application.
Regulatory agencies like the FDA require substantial evidence of the drug’s effectiveness for its intended use and sufficient information to conclude that the drug is safe. However, flexibility is given in how the standard can be met given the challenges associated with the limited number of subjects available in rare disease.
Reviewing recent FDA approvals, you may be struck by the total absence of odds ratios. Browsing the labels from the 2023 novel approvals, you can find proportions, differences in proportions, Chi-Squared analyses, CMH and variants, but logistic regression and odds ratios have practically disappeared from labeling. What gives?
FDA’s Benefit-Risk Framework is the presentation for communicating the assessment of the benefits and risks based on the therapeutic context, available evidence and uncertainties for the product in development.
To those of us who regularly create or review adverse event (AE) incidence tables for randomized controlled trials, it may come as a surprise that your typical AE incidence table can be misleading if data was combined from more than one trial. This is due to “Simpson’s paradox,” which, simply put, is the phenomenon that the mere grouping of data can introduce confounding or bias otherwise not present.
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