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The lancet oncology · Oct 2021
ReviewLeveraging external data in the design and analysis of clinical trials in neuro-oncology.
- Rifaquat Rahman, Steffen Ventz, Jon McDunn, Bill Louv, Irmarie Reyes-Rivera, PolleyMei-Yin CMCDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA., Fahar Merchant, Lauren E Abrey, Joshua E Allen, Laura K Aguilar, Estuardo Aguilar-Cordova, David Arons, Kirk Tanner, Stephen Bagley, Mustafa Khasraw, Timothy Cloughesy, Patrick Y Wen, Brian M Alexander, and Lorenzo Trippa.
- Department of Radiation Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA, USA. Electronic address: rrahman@bwh.harvard.edu.
- Lancet Oncol. 2021 Oct 1; 22 (10): e456e465e456-e465.
AbstractIntegration of external control data, with patient-level information, in clinical trials has the potential to accelerate the development of new treatments in neuro-oncology by contextualising single-arm studies and improving decision making (eg, early stopping decisions). Based on a series of presentations at the 2020 Clinical Trials Think Tank hosted by the Society of Neuro-Oncology, we provide an overview on the use of external control data representative of the standard of care in the design and analysis of clinical trials. High-quality patient-level records, rigorous methods, and validation analyses are necessary to effectively leverage external data. We review study designs, statistical methods, risks, and potential distortions in using external data from completed trials and real-world data, as well as data sources, data sharing models, ongoing work, and applications in glioblastoma.Copyright © 2021 Elsevier Ltd. All rights reserved.
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