Evidence map›Paper›PMID 33249450›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Assessment of Risks Associated With Severe Acute Respiratory Syndrome Coronavirus 2 Experimental Human Infection Studies.

Vincent P Kuiper, Frits R Rosendaal, Ingrid M C Kamerling, Leonardus G Visser, Meta Roestenberg

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Ethical approval for controlled human infectious model clinical trial protocols - A workshop report.Biologicals : journal of the International Association of Biological Standardization · 2024
    Article
  2. Review
  3. Review
  4. 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.

Vincent P KuiperDepartment of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.ORCID 0000-0003-2897-2859
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands.
Ingrid M C KamerlingCentre for Human Drug Research, Leiden, The Netherlands.
Leonardus G VisserDepartment of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.
Meta RoestenbergDepartment of Infectious Diseases, Leiden University Medical Centre, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlled human infection (CHI) models for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been proposed as a tool to accelerate the development of vaccines and drugs. Such models carry inherent risks. Participants may develop severe disease or complications after deliberate infection. Prolonged isolation may negatively impact their well-being. Through secondary infection of study personnel or participant household contacts, the experimental virus strain may cause a community outbreak. We identified risks associated with such a SARS-CoV-2 CHI model and assessed their likelihood and impact and propose strategies that mitigate these risks. In this report, we show that risks can be minimized with proper risk mitigation strategies; the residual risk, however, should be weighed carefully against the scientific and social values of such a CHI model.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksHumanscontrolled human infection modelCOVID-19human challenge modelrisk assessmentSARS-CoV-2

Identifiers

PMID33249450
PMCPMC7799229

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.