The Utilization of Externally Sourced Data and Data Collected and Analyzed from Previously Completed Studies Using

Nancy A Sherman1, Kevin D Wolter2, Elena Soto3

  • 1Internal Medicine Clinical Development, Pfizer Inc., 66 Hudson Blvd., 13Th Floor, New York, NY, USA. nancy.sherman@pfizer.com.

Insights

Leveraging external data and prior internal studies can overcome clinical trial recruitment challenges. This strategy supplements data gaps, enhancing regulatory submissions for successful trial completion.

Area of Science:

  • Clinical research
  • Regulatory affairs
  • Data science

Background:

  • Clinical trials face numerous challenges, including rare diseases, limited sites, complex procedures, and parental consent issues in pediatric studies.
  • These difficulties can impede the successful and timely achievement of regulatory commitments.
  • Strategies to supplement trial data are crucial for meeting regulatory requirements.

Purpose of the Study:

  • To review clinical trials and regulatory commitments that successfully incorporated external data.
  • To assess the use of data from previously completed internal studies in regulatory submissions.
  • To highlight the potential of these strategies in overcoming common clinical trial barriers.

Main Methods:

  • Conducted a review of clinical trials and regulatory commitments.
  • Identified instances where externally sourced data was utilized.
  • Analyzed the inclusion of data from previously completed internal studies.

Main Results:

  • Externally sourced data and data from completed internal studies can supplement clinical trial data.
  • This approach can add robustness to regulatory submissions.
  • The strategy is effective in addressing gaps caused by recruitment barriers and other challenges.

Conclusions:

  • The utilization of external data and prior internal study data is a valuable strategy.
  • This method can significantly enhance regulatory submissions, especially when facing recruitment difficulties.
  • Increased awareness and adoption of these data supplementation techniques are recommended.

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