Evidence map›Paper›PMID 32661074›Full record

ArticleJournal of medical ethics2020

Why continuing uncertainties are no reason to postpone challenge trials for coronavirus vaccines.

Robert Steel, Lara Buchak, Nir Eyal

Abstract read
In one paragraph

Article in Journal of medical ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. How to Test Severe Acute Respiratory Syndrome Coronavirus 2 Vaccines Ethically Even After One Is Available.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  6. Testing SARS-CoV-2 vaccine efficacy through deliberate natural viral exposure.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
  7. Article
  8. Reply to Hasford and to Spinola et al.The Journal of infectious diseases · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Robert SteelCenter for Population-Level Bioethics and Department of Philosophy, Rutgers University, New Brunswick, New Jersey, USA.ORCID 0000-0003-4879-2070
Lara BuchakDepartment of Philosophy, Princeton University, Princeton, NJ, USA.
Nir EyalCenter for Population-Level Bioethics; Department of Philosophy, School of Arts and Sciences; Department of Health Behavior, Society and Policy, Rutgers School of Public Health, Rutgers University, New Brunswick, New Jersey, USA neyal@cplb.rutgers.edu.

Funding

HIV cure studies: risk, risk perception, and ethicsR01AI114617 · NIAID · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI EYAL, NIR · 2015 to 2018
$3.2M
HIV cure studies: risk, risk perception, and ethicsR56AI114617 · NIAID · HARVARD MEDICAL SCHOOL · PI EYAL, NIR · 2014 to 2014
$528k
NIAID NIH HHS R01 AI114617NIAID NIH HHS R56 AI114617
6 · The paper itself

Abstract

To counter the pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), some have proposed accelerating SARS-CoV-2 vaccine development through controlled human infection (or 'challenge') trials. These trials would involve the deliberate exposure of relatively few young, healthy volunteers to SARS-CoV-2. We defend this proposal against the charge that there is still too much uncertainty surrounding the risks of COVID-19 to responsibly run such a trial.

Indexed as

Biomedical ResearchClinical Trials as TopicCOVID-19COVID-19 VaccinesHealthy VolunteersHumansInformed ConsentPandemicsRisk FactorsSafetySARS-CoV-2COVID-19 Vaccinesclinical trialsethicsphilosophical ethicsresearch ethics

Identifiers

PMID32661074
PMCPMC7371490

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.