Evidence map›Paper›PMID 29773743›Full record

ReviewScience (New York, N.Y.)2018

Genomic insights into the emergence and spread of antimicrobial-resistant bacterial pathogens.

Stephen Baker, Nicholas Thomson, François-Xavier Weill, Kathryn E Holt

Abstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing 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

178 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Virulence and Antimicrobial Resistance Traits ofAntibiotics (Basel, Switzerland) · 2026
    Article
  12. A One Health Perspective onMicroorganisms · 2026
    Review
  13. Study on Antimicrobial Resistance and Molecular Characteristics ofAnimals : an open access journal from MDPI · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

118 more citing papers are in PubMed but not listed here.

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.

Stephen BakerOxford University Clinical Research Unit, Ho Chi Minh City, Vietnam. sbaker@oucru.org.ORCID 0000-0003-1308-5755
Nicholas ThomsonThe Wellcome Trust Sanger Institute, Cambridge, UK.ORCID 0000-0002-4432-8505
François-Xavier WeillInstitut Pasteur, Paris, France.ORCID 0000-0001-9941-5799
Kathryn E HoltThe London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-3949-2471

Funding

Wellcome Trust 098051
6 · The paper itself

Abstract

Whole-genome sequencing (WGS) has been vital for revealing the rapid temporal and spatial evolution of antimicrobial resistance (AMR) in bacterial pathogens. Some antimicrobial-resistant pathogens have outpaced us, with untreatable infections appearing in hospitals and the community. However, WGS has additionally provided us with enough knowledge to initiate countermeasures. Although we cannot stop bacterial adaptation, the predictability of many evolutionary processes in AMR bacteria offers us an opportunity to channel them using new control strategies. Furthermore, by using WGS for coordinating surveillance and to create a more fundamental understanding of the outcome of antimicrobial treatment and AMR mechanisms, we can use current and future antimicrobials more effectively and aim to extend their longevity.

Indexed as

BacteriaAnti-Bacterial AgentsCommunity-Acquired InfectionsDrug Resistance, BacterialEvolution, MolecularFoodborne DiseasesGenome, BacterialGenomicsHumansMethicillin-Resistant Staphylococcus aureusSexually Transmitted DiseasesWhole Genome SequencingAnti-Bacterial Agents

Identifiers

PMID29773743
PMCPMC6510332

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.