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Therapeutic Innovation & Regulatory Science
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https://doi.org/10.21203/rs.3....
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Adopting a Framework for Rapid Real-World Data Analyses in Safety Signal Assessment

Authors: Wang, Lu; Golchin, Negar; Klot, Stephanie von; Salinas, Claudia A.; Manlik, Katrin; Patadia, Vaishali; Miller, Mary K.; +4 Authors

Adopting a Framework for Rapid Real-World Data Analyses in Safety Signal Assessment

Abstract

Abstract The expanding availability of real-world data (RWD) has led to an increase in both the interest and possibilities for using this information in postmarketing safety analyses and signal management. While there is enormous potential value from the safety insights generated through RWD, the analysis preparation, execution, and communication required to reliably deliver the evidence can be time consuming. Since the safety signal assessment process is a regulated and timebound process, any supporting RWD analyses require a rapid turnaround of well-designed and informative results. To address this challenge, a TransCelerate BioPharma working group was formed and developed a framework to help teams responsible for safety signal assessment overcome the challenges of working with RWD rapidly to deliver analyses within regulatory timelines. Here, a previously performed safety assessment was evaluated within the context of the developed framework to illustrate how the framework may be adopted in practice.

Keywords

Data Analysis, Drug-Related Side Effects and Adverse Reactions, Product Surveillance, Postmarketing, Humans, Adverse Drug Reaction Reporting Systems, Data Analysis [MeSH] ; Rapid data analysis ; Drug-Related Side Effects and Adverse Reactions [MeSH] ; Safety signal assessment ; Adverse Drug Reaction Reporting Systems [MeSH] ; Pharmacovigilance ; Product Surveillance, Postmarketing [MeSH] ; Humans [MeSH] ; Analysis ; Minimal protocol ; Transcelerate ; Real-world data (RWD), Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid