Evidence map›Paper›PMID 30845331›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

Antibiotic Resistance and Typhoid.

Zoe A Dyson, Elizabeth J Klemm, Sophie Palmer, Gordon Dougan

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
–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

68 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Prevalence of fluoroquinolone-resistantPathogens and global health · 2020
    Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Protein-centric mechanisms of typhoidalFrontiers in cellular and infection microbiology · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article

8 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.

Zoe A DysonDepartment of Medicine, University of Cambridge, Hinxton, Cambridge, United Kingdom.
Elizabeth J KlemmDepartment of Medicine, University of Cambridge, Hinxton, Cambridge, United Kingdom.
Sophie PalmerDepartment of Medicine, University of Cambridge, Hinxton, Cambridge, United Kingdom.
Gordon DouganDepartment of Medicine, University of Cambridge, Hinxton, Cambridge, United Kingdom.

Funding

Department of HealthWellcome Trust 098051Wellcome Trust 106158
6 · The paper itself

Abstract

Multiple drug (antibiotic) resistance (MDR) has become a major threat to the treatment of typhoid and other infectious diseases. Since the 1970s, this threat has increased in Salmonella enterica serovar Typhi, driven in part by the emergence of successful genetic clades, such as haplotype H58, associated with the MDR phenotype. H58 S. Typhi can express multiple antibiotic resistance determinants while retaining the ability to efficiently transmit and persist within the human population. The recent identification of extensively drug resistant S. Typhi only highlights the dangers of ignoring this threat. Here we discuss the evolution of the S. Typhi MDR phenotype and consider options for management.

Indexed as

Anti-Bacterial AgentsDisease ManagementDrug Resistance, Multiple, BacterialEvolution, MolecularHaplotypesHumansMicrobial Sensitivity TestsPhylogenyPlasmidsSalmonella typhiTyphoid FeverWhole Genome SequencingAnti-Bacterial AgentsH58MDRmultiple drug resistanceS. Typhityphoid

Identifiers

PMID30845331
PMCPMC6405283

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.