Reducing Uninformative IND Safety Reports: A List of Serious Adverse Events anticipated to Occur in Patients with

Phil Bonomi1, Nina Stuccio2, C J Delgra3

  • 1Rush University Medical Center, Chicago, IL, USA.

Insights

Expedited safety reporting in clinical trials is burdened by over-reporting of anticipated serious adverse events (SAEs). Focusing on aggregate analysis of these events can reduce unnecessary reporting and improve patient safety signal detection.

Area of Science:

  • Clinical trial safety reporting
  • Pharmacovigilance
  • Regulatory science

Background:

  • Expedited reporting of unexpected serious adverse reactions (SAEs) during clinical trials is crucial for patient safety.
  • The US FDA has identified significant issues with uninformative IND safety reporting, leading to over-reporting by sponsors.
  • This over-reporting creates an excessive burden on sponsors, investigators, and FDA reviewers, potentially obscuring true safety signals.

Purpose of the Study:

  • To identify strategies for reducing unnecessary distribution of serious adverse events (SAEs) reports in clinical trials.
  • To propose a framework for distinguishing between events requiring individual reporting and those needing aggregate analysis.

Main Methods:

  • Convened a multi-sector working group (Scientific and Clinical Research Roundtable - SCRT) under the LUNGevity Foundation.
  • Identified "anticipated" serious adverse events in the lung cancer population.
  • Discussed the use of background threshold values derived from real-world data for causality assessment.

Main Results:

  • Defined "anticipated" SAEs related to disease, concomitant therapy, or demographics in lung cancer trials.
  • Recommended that "anticipated" events, while reported to sponsors, should generally not be individually reported to the FDA or investigators.
  • Proposed that aggregate analysis of "anticipated" events is necessary to determine true safety signals.

Conclusions:

  • Reducing individual reporting of "anticipated" SAEs can significantly decrease reporting burden.
  • Utilizing background threshold values can aid sponsors in causality assessments.
  • This approach can serve as a model for other disease areas to improve clinical trial safety reporting efficiency.

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