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Published on: March 20, 2021
Optimizing collection of adverse event data in cancer clinical trials supporting supplemental indications
Lee D Kaiser1, Allen S Melemed, Alaknanda J Preston
1Genentech, South San Francisco, CA, USA.
Purpose:
Although much is known about the safety of an anticancer agent at the time of initial marketing approval, sponsors customarily collect comprehensive safety data for studies that support supplemental indications. This adds significant cost and complexity to the study but may not provide useful new information. The main purpose of this analysis was to assess the amount of safety and concomitant medication data collected to determine a more optimal approach in the collection of these data when used in support of supplemental applications.
Methods:
Following a prospectively developed statistical analysis plan, we reanalyzed safety data from eight previously completed prospective randomized trials.
Results:
A total of 107,884 adverse events and 136,608 concomitant medication records were reviewed for the analysis. Of these, four grade 1 to 2 and nine grade 3 and higher events were identified as drug effects that were not included in the previously established safety profiles and could potentially have been missed using subsampling. These events were frequently detected in subsamples of 400 patients or larger. Furthermore, none of the concomitant medication records contributed to labeling changes for the supplemental indications.
Conclusion:
Our study found that applying the optimized methodologic approach, described herein, has a high probability of detecting new drug safety signals. Focusing data collection on signals that cause physicians to modify or discontinue treatment ensures that safety issues of the highest concern for patients and regulators are captured and has significant potential to relieve strain on the clinical trials system.
Insights
Optimizing data collection for supplemental cancer drug indications can improve safety signal detection. Focusing on critical adverse events reduces clinical trial costs and complexity without missing key safety information.
Area of Science:
- Oncology
- Clinical Trial Methodology
- Pharmacovigilance
Background:
- Anticancer agent safety is well-documented at initial approval.
- Supplemental indications require extensive safety data collection, increasing costs and complexity.
- Existing data collection may not yield significant new safety insights.
Purpose of the Study:
- To assess the volume of safety and concomitant medication data collected for supplemental indications.
- To determine an optimized approach for collecting such data.
- To evaluate the efficiency of current data collection methods.
Main Methods:
- Reanalysis of safety data from eight prospective randomized trials.
- Utilized a prospectively developed statistical analysis plan.
- Reviewed over 100,000 adverse events and 130,000 concomitant medication records.
Main Results:
- Identified 13 drug-related adverse events (4 mild, 9 severe) not in initial safety profiles.
- These critical events were often detectable in subsamples of 400 patients.
- Concomitant medication data did not influence labeling for supplemental indications.
Conclusions:
- An optimized data collection method can effectively detect new drug safety signals.
- Focusing on events prompting treatment modification captures crucial safety information.
- This approach can reduce the burden on clinical trial systems.
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