Innovative approaches for vaccine trials as a key component of pandemic preparedness – a white paper

Author:

Bethe UllrichORCID,Pana Zoi D.ORCID,Drosten ChristianORCID,Goossens HermanORCID,König FranzORCID,Marchant ArnaudORCID,Molenberghs GeertORCID,Posch MartinORCID,Van Damme PierreORCID,Cornely Oliver A.ORCID

Abstract

Abstract Background WHO postulates the application of adaptive design features in the global clinical trial ecosystem. However, the adaptive platform trial (APT) methodology has not been widely adopted in clinical research on vaccines. Methods The VACCELERATE Consortium organized a two-day workshop to discuss the applicability of APT methodology in vaccine trials under non-pandemic as well as pandemic conditions. Core aspects of the discussions are summarized in this article. Results An “ever-warm” APT appears ideally suited to improve efficiency and speed of vaccine research. Continuous learning based on accumulating APT trial data allows for pre-planned adaptations during its course. Given the relative design complexity, alignment of all stakeholders at all stages of an APT is central. Vaccine trial modelling is crucial, both before and in a pandemic emergency. Various inferential paradigms are possible (frequentist, likelihood, or Bayesian). The focus in the interpandemic interval may be on research gaps left by industry trials. For activation in emergency, template Disease X protocols of syndromal design for pathogens yet unknown need to be stockpiled and updated regularly. Governance of a vaccine APT should be fully integrated into supranational pandemic response mechanisms. Discussion A broad range of adaptive features can be applied in platform trials on vaccines. Faster knowledge generation comes with increased complexity of trial design. Design complexity should not preclude simple execution at trial sites. Continuously generated evidence represents a return on investment that will garner societal support for sustainable funding. Adaptive design features will naturally find their way into platform trials on vaccines.

Funder

Universitätsklinikum Köln

Publisher

Springer Science and Business Media LLC

Reference39 articles.

1. Moorthy V, Abubakar I, Qadri F, Ogutu B, Zhang W, Reeder J, Farrar J. The future of the global clinical trial ecosystem: a vision from the first WHO Global clinical trials Forum. Lancet. 2024;403:124–6.

2. Heath PT, Preg-CoV -. A Phase II, randomised, single-blind, platform trial to assess safety, reactogenicity and immunogenicity of COVID-19 vaccines in pregnant women in the United Kingdom. 2022. https://vaccine.ac.uk/wp-content/uploads/2022/05/Preg-COV_Study-Protocol_v9.0_14.04.2022_clean.pdf (laccessed Feb 13 2024).

3. McLeod C, Ramsay J, Flanagan KL, Plebanski M, Marshall H, Dymock M, et al. Core protocol for the adaptive platform trial in COVID-19 vaccine priming and BOOsting (PICOBOO). Trials. 2023;24:202.

4. Written summary of an online meeting with representatives from the European Commission. Directorate-General Research & Innovation, and VACCELERATE, held on February 3rd, 2023. Document filed in the European Commission’s official document filing system ARES under the reference Ares(2023)881735. Document available upon request from the corresponding author of this article.

5. Goossens H, Derde L, Horby P, Bonten M. The European clinical research response to optimise treatment of patients with COVID-19: lessons learned, future perspective, and recommendations. Lancet Infect Dis. 2022;22:e153–8.

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