Evidence map›Paper›PMID 32635912›Full record

ArticleBMC medicine2020

Exploring the acceptability of controlled human infection with SARSCoV2-a public consultation.

D Gbesemete, M Barker, W T Lawrence, D Watson, H de Graaf, R C Read

Abstract readLetter
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
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  7. Article
  8. The Development and Distribution of the COVID-19 Vaccine.American journal of respiratory and critical care medicine · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A COVID-19 human viral challenge model. Learning from experience.Influenza and other respiratory viruses · 2020
    Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

D GbesemeteFaculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust Mailpoint 218, University Hospital Southampton NHS Foundation Trust Tremona Road, Southampton, SO16 6YD, UK.
M BarkerMRC Lifecourse Epidemiology Unit, University of Southampton, D08 Institute of Developmental Science and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK.
W T LawrenceMRC Lifecourse Epidemiology Unit, University of Southampton, D08 Institute of Developmental Science and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospitals Southampton NHS Foundation Trust, Southampton, UK.
D WatsonSchool of Human Development and Health, Faculty of Medicine, University of Southampton, D08 Institute of Developmental Science, University Hospitals Southampton NHS Foundation Trust, Southampton, UK.
H de GraafFaculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust Mailpoint 218, University Hospital Southampton NHS Foundation Trust Tremona Road, Southampton, SO16 6YD, UK.
R C ReadFaculty of Medicine and Institute for Life Sciences, University of Southampton, School of Clinical and Experimental Sciences, NIHR Clinical Research Facility and NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, University of Southampton, Southampton General Hospital, South Academic Block, Mailpoint 814, Tremona Road, Southampton, SO16 6YD, UK. r.c.read@soton.ac.uk.ORCID 0000-0002-4297-6728

Funding

Medical Research Council MR/N013204/1Medical Research Council MR/N026993/1NIHR Southampton Biomedical Research Centre IS-BRC-1215-20004
6 · The paper itself

Abstract

Rapid development of an effective vaccine for SARSCoV2 is a global priority. A controlled human infection model (CHIM) would accelerate the efficacy assessment of candidate vaccines. This strategy would require deliberate exposure of volunteers to SARSCoV2 with no currently available treatment and a small but definite risk of serious illness or death. This raises complex questions about the social and ethical acceptability of risk to individuals, given the potential benefit to the wider population, and as such, a study cannot be done without public involvement. We conducted a structured public consultation with 57 individuals aged 20-40 years to understand public attitudes to a CHIM, and pre-requisites for enrolment. The overall response to this strategy was positive, and many would volunteer altruistically. Carefully controlled infection is viewed as safer than natural exposure to wild virus. The prolonged social isolation required for the proposed CHIM is considered an obstacle but not insurmountable, with reasonable compensation and supportive care. Given the significant level of public interest, a CHIM should be done as open science with regular, controlled dissemination of information into the public domain. Importantly, there was a strong view that the final decision whether to conduct a CHIM should be in the hands of qualified and experienced clinician-scientists and the authorities.

Indexed as

Attitude to HealthAdultBetacoronavirusBiomedical ResearchCoronavirus InfectionsCOVID-19COVID-19 VaccinesDrug DevelopmentFemaleFocus GroupsHumansMalePandemicsPatient SelectionPneumonia, ViralPublic OpinionCOVID-19 VaccinesViral VaccinesControlled human infection modelCOVID-19Public consultationSARSCoV2

Identifiers

PMID32635912
PMCPMC7339437

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.