Evidence map›Paper›PMID 32158739›Full record

ArticleFrontiers in public health2020

Addressing Learning Needs on the Use of Metagenomics in Antimicrobial Resistance Surveillance.

Ana Sofia Ribeiro Duarte, Katharina D C Stärk, Patrick Munk, Pimlapas Leekitcharoenphon, Alex Bossers, Roosmarijn Luiken, Steven Sarrazin, Oksana Lukjancenko, Sünje Johanna Pamp, Valeria Bortolaia and 9 more

Abstract read
In one paragraph

Article in Frontiers in public health, 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
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  3. Review
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  8. Review
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

19 authors.

Ana Sofia Ribeiro DuarteResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Katharina D C StärkSAFOSO AG, Bern-Lieberfeld, Switzerland.
Patrick MunkResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Pimlapas LeekitcharoenphonResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Alex BossersDepartment of Infection Biology, Wageningen Bioveterinary Research, Lelystad, Netherlands.
Roosmarijn LuikenFaculty of Veterinary Medicine, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Steven SarrazinVeterinary Epidemiology Unit, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium.
Oksana LukjancenkoResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Sünje Johanna PampResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Valeria BortolaiaResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Jakob Nybo NissenDepartment of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Philipp KirstahlerResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Liese Van GompelFaculty of Veterinary Medicine, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.
Casper Sahl PoulsenResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Rolf Sommer KaasResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Maria HellmérResearch Group for Microbiology and Hygiene, National Food Institute, Technical University of Denmark, Lyngby, Denmark.
Rasmus Borup HansenIntomics A/S, Lyngby, Denmark.
Violeta Munoz GomezSAFOSO AG, Bern-Lieberfeld, Switzerland.
Tine HaldResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health surveillance of antimicrobial resistance (AMR) depends on a harmonized method for detection of AMR. Metagenomics-based surveillance offers the possibility to compare resistomes within and between different target populations. Its potential to be embedded into policy in the future calls for a timely and integrated knowledge dissemination strategy. We developed a blended training (e-learning and a workshop) on the use of metagenomics in surveillance of pathogens and AMR. The objectives were to highlight the potential of metagenomics in the context of integrated surveillance, to demonstrate its applicability through hands-on training and to raise awareness to bias factors. The target participants included staff of competent authorities responsible for AMR monitoring and academic staff. The training was organized in modules covering the workflow, requirements, benefits and challenges of surveillance by metagenomics. The training had 41 participants. The face-to-face workshop was essential to understand the expectations of the participants about the transition to metagenomics-based surveillance. After revision of the e-learning, we released it as a Massive Open Online Course (MOOC), now available at https://www.coursera.org/learn/metagenomics. This course has run in more than 20 sessions, with more than 3,000 learners enrolled, from more than 120 countries. Blended learning and MOOCs are useful tools to deliver knowledge globally and across disciplines. The released MOOC can be a reference knowledge source for international players in the application of metagenomics in surveillance.

Indexed as

Anti-Bacterial AgentsEducation, DistanceDrug Resistance, BacterialHumansLearningMetagenomicsAnti-Bacterial Agentsantimicrobial resistancemetagenomicsMOOCone healthsurveilance

Identifiers

PMID32158739
PMCPMC7051937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.