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

AI Article Synopsis

  • - Clinical trials, considered the "gold standard" for medical evidence, are evolving to include real-world data, which enhances their applicability and effectiveness in practical settings.
  • - Three case studies show how different data sources, like wearables and electronic health records, impact the role and responsibilities of Data and Safety Monitoring Boards (DSMBs).
  • - While real-world trials can improve findings' relevance and efficiency, they require strong data management systems and adapted monitoring practices to maintain the rigor of traditional clinical trials.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514684PMC
http://dx.doi.org/10.1017/cts.2023.582DOI Listing

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