Evidence map›Paper›PMID 38078750›Full record

ArticlemBio2024

The American Academy of Microbiology discusses gain-of-function research of concern (GOFROC) and enhanced potential pandemic pathogens (ePPP).

Arturo Casadevall, Michael J Imperiale, Nguyen K Nguyen, Vanessa Sperandio

Abstract readEditorial
In one paragraph

Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

4 authors.

Arturo CasadevallFormer Chair of the American Academy of Microbiology Committee of Governors, Department of Molecular Microbiology and Immunology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-9402-9167
Michael J ImperialeChair of Steering Committee of Workshop on Impact Assessment of Research on Infectious Agents, Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Nguyen K NguyenDirector of the American Academy of Microbiology, American Society for Microbiology, Washington, USA.
Vanessa SperandioChair of the American Academy of Microbiology Committee of Governors, Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0003-0819-7904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The American Academy of Microbiology convened a workshop bringing together scientists with varied opinions on the conduct of gain-of-function research of concern (GOFROC) and enhanced pathogen with pandemic potential (ePPP) research. Five findings were: (1) research on infectious agents is necessary for understanding, monitoring, and developing treatments and prevention measures against these agents; (2) gain-of-function research of concern or ePPP research makes up a very small fraction of all biological research; (3) clearly defined terminologies for research of concern should be developed by the scientific community to avoid public confusion and highlight its practical benefits; (4) harmonized biorisk management standardization, training, mentoring, and reporting can help improve safety and security for laboratory workers and the public; and (5) expanded engagement and collaboration of scientists with policymakers and the public, including increased transparency on the risks and rewards of research with infectious agents, is needed.

Indexed as

Gain of Function MutationPandemicsHumansUnited States

Identifiers

PMID38078750
PMCPMC10790700

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.