ArticleClinical trials (London, England)2016
A response adaptive randomization platform trial for efficient evaluation of Ebola virus treatments: A model for pandemic response.
Article in Clinical trials (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02380625 (An Adaptive Randomized Trial Comparing Multiple Treatments for Ebola Virus), which is not on this map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
An Adaptive Randomized Trial Comparing Multiple Treatments for Ebola Virus (EBOV) Infected Children and Adults
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Methodology and design of platform trials: a meta-epidemiological study.Journal of clinical epidemiology · 2023Pooled it
- Systematic review of basket trials, umbrella trials, and platform trials: a landscape analysis of master protocols.Trials · 2019Pooled it
- A roadmap to using randomization in clinical trials.BMC medical research methodology · 2021Trial
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
- A landscape analysis of clinical trials in cancer pain management: current trends and emerging therapeutic targets.Frontiers in oncology · 2026Review
- A case study in teaching and learning the design, conduction, and analysis of Bayesian adaptive trials through an application.Journal of clinical and translational science · 2026Article
- Response adaptive randomisation in clinical trials: Current practice, gaps and future directions.Statistical methods in medical research · 2025Article
- Master protocols in low- and middle-income countries: a review of current use, limitations and opportunities for precision medicine.BMJ global health · 2025Review
- Adaptive Bayesian Clinical Trials: The Past, Present, and Future of Clinical Research.Journal of clinical medicine · 2025Article
- Operating characteristics of unequal allocation ratios in platform trials with the staggered addition of drugs using binary endpoints.Contemporary clinical trials communications · 2025Article
- Host centric drug repurposing for viral diseases.PLoS computational biology · 2025Article
- Why and how should we simulate platform trials? Learnings from EU-PEARL.BMC medical research methodology · 2025Article
- Randomization in clinical trials with small sample sizes using group sequential designs.PloS one · 2025Article
- Using Bayesian statistics in confirmatory clinical trials in the regulatory setting: a tutorial review.BMC medical research methodology · 2024Review
- Article
- Preparing for the next viral threat with broad-spectrum antivirals.The Journal of clinical investigation · 2023Review
- Response-adaptive randomization in clinical trials: from myths to practical considerations.Statistical science : a review journal of the Institute of Mathematical Statistics · 2023Article
- Implementation of platform trials in the COVID-19 pandemic: A rapid review.Contemporary clinical trials · 2022Review
- Understanding the Host in the Management of Pneumonia. An Official American Thoracic Society Workshop Report.Annals of the American Thoracic Society · 2021Article
- Statistical consideration when adding new arms to ongoing clinical trials: the potentials and the caveats.Trials · 2021Article
Corrections and comments
- Commented on byResponse.2016
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Authors and funding
11 authors.
Funding
Abstract
The outbreak of Ebola virus disease in West Africa is the largest ever recorded. Numerous treatment alternatives for Ebola have been considered, including widely available repurposed drugs, but initiation of enrollment into clinical trials has been limited. The proposed trial is an adaptive platform design. Multiple agents and combinations will be investigated simultaneously. Additionally, new agents may enter the trial as they become available, and failing agents may be removed. In order to accommodate the many possible agents and combinations, a critical feature of this design is the use of response adaptive randomization to assign treatment regimens. As the trial progresses, the randomization ratio evolves to favor the arms that are performing better, making the design also suitable for all-cause pandemic preparedness planning. The study was approved by US and Sierra Leone ethics committees, and reviewed by the US Food and Drug Administration. Additionally, data management, drug supply lines, and local sites were prepared. However, in response to the declining epidemic seen in February 2015, the trial was not initiated. Sierra Leone remains ready to rapidly activate the protocol as an emergency response trial in the event of a resurgence of Ebola. (ClinicalTrials.gov Identifier: NCT02380625.) In summary, we have designed a single controlled trial capable of efficiently identifying highly effective or failing regimens among a rapidly evolving list of proposed therapeutic alternatives for Ebola virus disease and to treat the patients within the trial effectively based on accruing data. Provision of these regimens, if found safe and effective, would have a major impact on future epidemics by providing effective treatment options.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.