Evidence map›Paper›PMID 34095051›Full record

ArticleFrontiers in public health

Systematic Organization of COVID-19 Data Supported by the Adverse Outcome Pathway Framework.

Penny Nymark, Magdalini Sachana, Sofia Batista Leite, Jukka Sund, Catharine E Krebs, Kristie Sullivan, Stephen Edwards, Laura Viviani, Catherine Willett, Brigitte Landesmann and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

11 authors.

Penny NymarkInstitute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Magdalini SachanaEnvironment Health and Safety Division, Environment Directorate, Organisation for Economic Cooperation and Development, Paris, France.
Sofia Batista LeiteEuropean Commission, Joint Research Centre, Ispra, Italy.
Jukka SundEuropean Commission, Joint Research Centre, Ispra, Italy.
Catharine E KrebsPhysicians Committee for Responsible Medicine, Washington, DC, United States.
Kristie SullivanPhysicians Committee for Responsible Medicine, Washington, DC, United States.
Stephen EdwardsGenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.
Laura VivianiHumane Society International, Washington, DC, United States.
Catherine WillettHumane Society International, Washington, DC, United States.
Brigitte LandesmannEuropean Commission, Joint Research Centre, Ispra, Italy.
Clemens WittwehrEuropean Commission, Joint Research Centre, Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Diligent data management strategies are employed but approaches for systematically organizing the data-derived information and knowledge are lacking. We believe AOPs can play an important role in improving interpretation and efficient application of scientific understanding of COVID-19. Here, we outline a newly initiated effort, the CIAO project (https://www.ciao-covid.net/), to streamline collaboration between scientists across the world toward development of AOPs for COVID-19, and describe the overarching aims of the effort, as well as the expected outcomes and research support that they will provide.

Indexed as

Adverse Outcome PathwaysBiomedical ResearchCOVID-19HumansPandemicsSARS-CoV-2adverse outcome pathwaysCOVID-19data integrationinterdisciplinaritymechanismssystematic organization

Identifiers

PMID34095051
PMCPMC8170012

What OpenQuestion holds

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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.