Evidence map›Paper›PMID 30559200›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Emergence of dominant multidrug-resistant bacterial clades: Lessons from history and whole-genome sequencing.

Elizabeth J Klemm, Vanessa K Wong, Gordon Dougan

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. A contemporary genomic snapshot ofMicrobial genomics · 2025
    Article
  6. Article
  7. The Invisible Threat of Antibiotic Resistance in Food.Antibiotics (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Antibiotic resistance mediated by gene amplifications.npj antimicrobials and resistance · 2024
    Review
  10. A NovelAntibiotics (Basel, Switzerland) · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Exploring the Accessory Genome of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

3 authors.

Elizabeth J KlemmInfection Genomics Programme, Wellcome Trust Sanger Institute, CB10 1SA Cambridge, United Kingdom.
Vanessa K WongDepartment of Medicine, University of Cambridge, Addenbrooke's Hospital, CB2 0SP Cambridge, United Kingdom.
Gordon DouganInfection Genomics Programme, Wellcome Trust Sanger Institute, CB10 1SA Cambridge, United Kingdom; gd312@medschl.cam.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Antibiotic resistance in bacteria has emerged as a global challenge over the past 90 years, compromising our ability to effectively treat infections. There has been a dramatic increase in antibiotic resistance-associated determinants in bacterial populations, driven by the mobility and infectious nature of such determinants. Bacterial genome flexibility and antibiotic-driven selection are at the root of the problem. Genome evolution and the emergence of highly successful multidrug-resistant clades in different pathogens have made this a global challenge. Here, we describe some of the factors driving the origin, evolution, and spread of the antibiotic resistance genotype.

Indexed as

Genome, BacterialWhole Genome SequencingAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialGene Transfer, HorizontalGenotypeAnti-Bacterial Agentsbacteriaemergenceevolutionmultidrug resistance

Identifiers

PMID30559200
PMCPMC6304985

What OpenQuestion holds

Textmetadata
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.