FDA Promoting Clinical Trial Patient Diversity: CDER

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CDER director of professional affairs and stakeholder engagement John Whyte says the agency has taken steps to promote patient diversity in clinical trials. Writing in a Clinical Leader guest column, Whyte references a 2014 action plan with 27 recommendations in three broad categories: improving the completeness and quality of the demographic subgroup data in medical product applications; identifying barriers to enrolling members of demographic subgroups into clinical trials and using strategies to address the barriers; and making demographic subgroup data more readily available to the public.

Drug Trial Snapshots are released for each new molecular entity within 30 days of approval, he says. They show who participated in pivotal clinical trials used to approve the drug and stratify the data by sex, race, and age subgroups. They also have statements on whether there were any observed differences in safety and efficacy by demographic subgroups at the time of approval.

“Collecting demographic data on sex, race, and age is critical to identifying population-specific signals,” Whyte writes. “Any INDA is required to present annual reports on the participation in clinical trials by age group, gender, and race. As part of their marketing applications, drug sponsors are required to present both safety and effectiveness data by sex, age, racial, and any other subgroups of the population of patients treated, when appropriate. Although there are currently no statutory or regulatory requirements for sponsors to include specific sex, race, or age subgroups as participants in clinical trials, regulations do require presentation and inclusion of analyses of demographic data in marketing applications.”

“By providing the data to begin the conversation on what is the right number of diverse participants to include, where appropriate, FDA is engaging with the scientific community to better understand what health variables are important to capture and may prove to personalize therapies for us beyond our basic demographics,” Whyte concludes. “Additional discussion is needed on ways to improve our understanding of when and why biologic variability in drug response occurs, when it should be measured, and how best to design clinical trials to capture it.” 

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