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The Next Horizon of Drug Development: External Control Arms and Innovative Tools to Enrich Clinical Trial Data
Kelly H Zou1, Chelsea Vigna2, Aniketh Talwai2
1Viatris, Canonsburg, PA, USA.
Abstract:
Conducting clinical trials (CTs) has become increasingly costly and complex in terms of designing and operationalizing. These challenges exist in running CTs on novel therapies, particularly in oncology and rare diseases, where CTs increasingly target narrower patient groups. In this study, we describe external control arms (ECA) and other relevant tools, such as virtualization and decentralized clinical trials (DCTs), and the ability to follow the clinical trial subjects in the real world using tokenization. ECAs are typically constructed by identifying appropriate external sources of data, then by cleaning and standardizing it to create an analysis-ready data file, and finally, by matching subjects in the external data with the subjects in the CT of interest. In addition, ECA tools also include subject-level meta-analysis and simulated subjects' data for analyses. By implementing the recent advances in digital health technologies and devices, virtualization, and DCTs, realigning of CTs from site-centric designs to virtual, decentralized, and patient-centric designs can be done, which reduces the patient burden to participate in the CTs and encourages diversity. Tokenization technology allows linking the CT data with real-world data (RWD), creating more comprehensive and longitudinal outcome measures. These tools provide robust ways to enrich the CT data for informed decision-making, reduce the burden on subjects and costs of trial operations, and augment the insights gained for the CT data.
Insights
External control arms (ECAs) and digital health tools like virtualization and decentralized clinical trials (DCTs) streamline complex clinical trials. Tokenization links trial data with real-world data (RWD) for richer insights and reduced costs.
Area of Science:
- Clinical trial design and operations
- Digital health technologies
- Real-world data utilization
Background:
- Clinical trials (CTs) face escalating costs and complexity, especially for novel therapies in oncology and rare diseases targeting smaller patient populations.
- Traditional site-centric trial designs present significant patient burden and can limit diversity.
Purpose of the Study:
- To describe external control arms (ECAs) and other innovative tools like virtualization, decentralized clinical trials (DCTs), and tokenization for enhancing clinical trial design and data analysis.
- To highlight how these technologies can create more patient-centric, diverse, and cost-effective clinical trials.
Main Methods:
- Construction of ECAs involves identifying, cleaning, and standardizing external data sources, followed by subject matching with the clinical trial cohort.
- Leveraging digital health technologies, virtualization, and DCTs to shift from site-centric to virtual, decentralized, and patient-centric trial models.
- Utilizing tokenization to link clinical trial data with real-world data (RWD) for longitudinal outcome measurement.
Main Results:
- ECAs can be augmented with subject-level meta-analysis and simulated data for robust analysis.
- Virtualization and DCTs reduce patient burden, encourage diversity, and enable real-world data integration.
- Tokenization facilitates comprehensive, longitudinal outcome measures by connecting CT data with RWD.
Conclusions:
- External control arms, virtualization, DCTs, and tokenization offer powerful strategies to enrich clinical trial data.
- These tools support informed decision-making, reduce operational costs, and enhance the insights derived from clinical trial data.
- Adoption of these technologies can lead to more efficient, patient-friendly, and insightful clinical research, particularly in challenging therapeutic areas.
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