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The evolving role of data & safety monitoring boards for real-world clinical trials

INTRODUCTION: Clinical trials provide the “gold standard” evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data sources – data not intended for research and often collected in f...

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Detalles Bibliográficos
Autores principales: Bunning, Bryan J., Hedlin, Haley, Chen, Jonathan H., Ciolino, Jody D., Ferstad, Johannes Opsahl, Fox, Emily, Garcia, Ariadna, Go, Alan, Johari, Ramesh, Lee, Justin, Maahs, David M., Mahaffey, Kenneth W., Opsahl-Ong, Krista, Perez, Marco, Rochford, Kaylin, Scheinker, David, Spratt, Heidi, Turakhia, Mintu P., Desai, Manisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514684/
https://www.ncbi.nlm.nih.gov/pubmed/37745930
http://dx.doi.org/10.1017/cts.2023.582
Descripción
Sumario:INTRODUCTION: Clinical trials provide the “gold standard” evidence for advancing the practice of medicine, even as they evolve to integrate real-world data sources. Modern clinical trials are increasingly incorporating real-world data sources – data not intended for research and often collected in free-living contexts. We refer to trials that incorporate real-world data sources as real-world trials. Such trials may have the potential to enhance the generalizability of findings, facilitate pragmatic study designs, and evaluate real-world effectiveness. However, key differences in the design, conduct, and implementation of real-world vs traditional trials have ramifications in data management that can threaten their desired rigor. METHODS: Three examples of real-world trials that leverage different types of data sources – wearables, medical devices, and electronic health records are described. Key insights applicable to all three trials in their relationship to Data and Safety Monitoring Boards (DSMBs) are derived. RESULTS: Insight and recommendations are given on four topic areas: A. Charge of the DSMB; B. Composition of the DSMB; C. Pre-launch Activities; and D. Post-launch Activities. We recommend stronger and additional focus on data integrity. CONCLUSIONS: Clinical trials can benefit from incorporating real-world data sources, potentially increasing the generalizability of findings and overall trial scale and efficiency. The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.