Evidence map›Paper›PMID 30204799›Full record

ArticlePloS one2018

Performance of different clinical trial designs to evaluate treatments during an epidemic.

Matthias Brueckner, Andrew Titman, Thomas Jaki, Amanda Rojek, Peter Horby

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Characteristics analysis for clinical study design relating to COVID-19 based on the database of ClinicalTrials.gov.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  5. Article
  6. Article
  7. Observational
  8. Medical research during the COVID-19 pandemic.World journal of clinical cases · 2020
    Review
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Matthias BruecknerDepartment of Mathematics and Statistics, Lancaster University, Lancaster, United Kingdom.ORCID 0000-0002-6103-9895
Andrew TitmanDepartment of Mathematics and Statistics, Lancaster University, Lancaster, United Kingdom.
Thomas JakiDepartment of Mathematics and Statistics, Lancaster University, Lancaster, United Kingdom.
Amanda RojekCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.
Peter HorbyCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.

Funding

Department of Health SRF-2015-08-001Wellcome TrustWellcome Trust 106491/Z/14/Z
6 · The paper itself

Abstract

In the 2013-2016 west Africa outbreak of Ebola Virus Disease (EVD), most of the planned clinical trials failed to reach a conclusion within the time frame of the epidemic. The performance of clinical trial designs for the evaluation of one or more experimental treatments in the specific context of an ongoing epidemic with changing case fatality rates (CFR) and unpredictable case numbers is unclear. We conduct a comprehensive evaluation of commonly used two- and multi-arm clinical trial designs based on real data, which was recorded during the 2013-16 EVD epidemic in west Africa. The primary endpoint is death within 14 days of hospitalization. The impact of the recruitment start times relative to the time course of the epidemic on the operating characteristics of the clinical trials is analysed. Designs with frequent interim analyses with the possibility of early stopping are shown to outperform designs with only a single analysis not only in terms of average time to conclusion and average sample size, but also in terms of the probability of reaching any conclusion at all. Historic control designs almost always result in substantially inflated false positive rates, when the case fatality rate changes over time. Response-adaptive randomization may be a compromise between the goal of scientific validity and the ethical goal of minimizing the number of patients allocated to ineffective treatments.

Indexed as

EbolavirusModels, BiologicalAfrica, WesternClinical Trials as TopicEpidemicsFemaleHemorrhagic Fever, EbolaHumansMaleRandom Allocation

Identifiers

PMID30204799
PMCPMC6133355

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.