Evidence map›Paper›PMID 32255760›Full record

ArticleMicrobial genomics2020

Accelerating surveillance and research of antimicrobial resistance - an online repository for sharing of antimicrobial susceptibility data associated with whole-genome sequences.

Sébastien Matamoros, Rene S Hendriksen, Bálint Ármin Pataki, Nima Pakseresht, Marc Rossello, Nicole Silvester, Clara Amid, Frank M Aarestrup, Marion Koopmans, Guy Cochrane and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microbial genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 33% of its field
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 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  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

14 authors at 7 institutions in 5 countries.

Sébastien MatamorosAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, The Netherlands.
Rene S HendriksenNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Bálint Ármin PatakiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Nima PaksereshtEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Marc RosselloEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Nicole SilvesterEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Clara AmidEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Frank M AarestrupNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Marion KoopmansDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands.
Guy CochraneEuropean Molecular Biology Laboratory (EMBL), European Bioinformatics Institute (EBI), Wellcome Genome Campus, Hinxton, Cambridge, UK.
Istvan CsabaiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Ole LundNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Constance SchultszAmsterdam UMC, University of Amsterdam, Department of Medical Microbiology, Amsterdam, The Netherlands.
The Compare Ml-Amr GroupSee the full list of the COMPARE ML-AMR group members, in acknowledgements.
European Bioinformatics Institute · GBTechnical University of Denmark · DKEötvös Loránd University · HUAmsterdam Institute for Global Health and Development · NLAmsterdam University Medical Centers · NLErasmus MC · NLGroupe SEB · FR

Funding

Wellcome Trust
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is an emerging threat to modern medicine. Improved diagnostics and surveillance of resistant bacteria require the development of next-generation analysis tools and collaboration between international partners. Here, we present the 'AMR Data Hub', an online infrastructure for storage and sharing of structured phenotypic AMR data linked to bacterial whole-genome sequences. Leveraging infrastructure built by the European COMPARE Consortium and structured around the European Nucleotide Archive (ENA), the AMR Data Hub already provides an extensive data collection of more than 2500 isolates with linked genome and AMR data. Representing these data in standardized formats, we provide tools for the validation and submission of new data and services supporting search, browse and retrieval. The current collection was created through a collaboration by several partners from the European COMPARE Consortium, demonstrating the capacities and utility of the AMR Data Hub and its associated tools. We anticipate growth of content and offer the hub as a basis for future research into methods to explore and predict AMR.

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsBacteriaDatabases, GeneticHigh-Throughput Nucleotide SequencingInternetPhenotypeWhole Genome SequencingAnti-Bacterial Agentsantimicrobial resistancedatabasedata sharingsurveillancewhole-genome sequencing

Identifiers

PMID32255760
PMCPMC7371118
OpenAlexW3014968103

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.