ArticleJournal of medical ethics2017
Vaccine testing for emerging infections: the case for individual randomisation.
Article in Journal of medical ethics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Seclusion and Restraint in Adult Psychiatry: A Systematic Review.Frontiers in psychiatry · 2019Pooled it
- Pandemic vaccine testing: Combining conventional and challenge studies.Pharmacoepidemiology and drug safety · 2022Article
- Response adaptive intervention allocation in stepped-wedge cluster randomized trials.Statistics in medicine · 2022Article
- Novel methods for the analysis of stepped wedge cluster randomized trials.Statistics in medicine · 2020Article
- An online decision tree for vaccine efficacy trial design during infectious disease epidemics: The InterVax-Tool.Vaccine · 2019Article
- Choices in vaccine trial design in epidemics of emerging infections.PLoS medicine · 2018Article
- Research priorities during infectious disease emergencies in West Africa.BMC research notes · 2018Article
- Improving vaccine trials in infectious disease emergencies.Science (New York, N.Y.) · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
During the 2014-2015 Ebola outbreak in Guinea, Liberia and Sierra Leone, many opposed the use of individually randomised controlled trials to test candidate Ebola vaccines. For a raging fatal disease, they explained, it is unethical to relegate some study participants to control arms. In Zika and future emerging infections, similar opposition may hinder urgent vaccine research, so it is best to address these questions now. This article lays out the ethical case for individually randomised control in testing vaccines against many emerging infections, including lethal infections in low-income countries, even when at no point in the trial do the controls receive the countermeasures being tested. When individual randomisation is feasible-and it often will be-it tends to save more lives than alternative designs would. And for emerging infections, individual randomisation also tends as such to improve care, access to the experimental vaccine and prospects for all participants relative to their opportunities absent the trial, and no less than alternative designs would. That obtains even under placebo control and without equipoise-requiring which would undermine individual randomisation and the alternative designs that opponents proffered. Our arguments expound four often-neglected factors: benefits to non-participants, benefits to participants once a trial is over including post-trial access to the study intervention, participants' prospects before randomisation to arms and the near-inevitable disparity between arms in any randomised controlled trial.
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What OpenQuestion holds
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.