THOUGHT LEADERSHIP

More than 64% of the trials posted on clinicaltrials.gov include at least one country outside of North America. For American-based sponsors, expanding trials outside the scope of North American regulators raises concerns around regulatory compliance, logistical methods, and participant wellbeing. Overarching all of these challenges is the question of how well international trials can be managed. PROMETRIKA has developed a management model to ensure informed and efficient communication and activities during global trials.

As a Senior Medical Writer, I participated in the 2024 annual conference of the American Medical Writers Association (AMWA) to lead a roundtable on protocol QC and keep up to date on trends and best practices in documents related to clinical research. While many of the best attended sessions were related to the current and upcoming use of AI in the field of medical writing, there were plenty of sessions and workshops (as well as discussions during the protocol QC roundtable) that served as reminders that it is still the human aspect of projects that make the greatest impact in the timeliness and quality of a document or project.

Members of PROMETRIKA’s Data Management (DM) team attended the recent Society for Clinical Data Management (SCDM) conference, held in Boston this year. This annual conference brings together the global data management community for discussions of the latest developments and challenges faced by DM professionals.

The win ratio, introduced by S. Pocock in 2012, is an alternative and practical approach for analyzing composite endpoints. It was originally designed to address challenges faced in cardiovascular (CV) trials, but over the years the win ratio has been utilized in multiple therapeutic areas.

At PROMETRIKA, we provide biostatistical analysis and regulatory medical writing services to our sponsor companies who have reached the stage of New Drug Application (NDA) or Biologic Licensing Application (BLA) preparation. One of the many crucial documents in these applications is the Package Insert (a.k.a., Prescribing Information or Product Information; PI), the summary of safety and efficacy data on proposed new drugs and biopharmaceuticals (‘drug’ will be used to refer to both hereafter). In the following discussion, I will trace the source and distillation of the efficacy data presented in the PI.