Prospectively shared control data across concurrent randomised clinical trials

Gopal Kotecha; Steffen Ventz; Lorenzo Trippa

doi:10.1016/j.ejca.2022.11.038

Prospectively shared control data across concurrent randomised clinical trials

Eur J Cancer. 2023 Mar:181:18-20. doi: 10.1016/j.ejca.2022.11.038. Epub 2022 Dec 12.

Authors

Gopal Kotecha¹, Steffen Ventz², Lorenzo Trippa³

Affiliations

¹ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. Electronic address: gkotecha@g.harvard.edu.
² Division of Biostatistics, School of Public Health, University of Minnesota, MN, USA.
³ Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.

Abstract

Sharing data from control groups across concurrent randomised clinical trials with identical enrolment criteria and the same control therapy can translate into efficiencies for the drug development process. We discuss potential benefits and risks of prospective data-sharing plans for concurrent randomised trials.

Keywords: Data sharing; Trial design.

Publication types

Randomized Controlled Trial
Research Support, N.I.H., Extramural

MeSH terms

Humans
Prospective Studies*

Abstract

Publication types

MeSH terms

Grants and funding