Evidence map›Paper›PMID 33239336›Full record

ReviewBMJ global health2020

Whole-genome sequencing as part of national and international surveillance programmes for antimicrobial resistance: a roadmap.

NIHR Global Health Research Unit on Genomic Surveillance of AMR

Open access · goldAbstract readReview
In one paragraph

Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 4 pooled it
4.9field-weighted citation impact, top 3% 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

91 citing papers in PubMed, 4 syntheses or guidelines pooled it, 134 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Systematic review of surveillance systems for AMR in Africa.The Journal of antimicrobial chemotherapy · 2022
    Pooled it
  5. Article
  6. Review
  7. Article
  8. Whole Genome Sequencing Reveals Genetic Variability ofAntibiotics (Basel, Switzerland) · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Carbapenem-resistantMicrobiology spectrum · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Review

31 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

1 author at 1 institution in 1 country.

NIHR Global Health Research Unit on Genomic Surveillance of AMR
University of Ibadan · NG

Funding

Wellcome Trust
6 · The paper itself

Abstract

The global spread of antimicrobial resistance (AMR) and lack of novel alternative treatments have been declared a global public health emergency by WHO. The greatest impact of AMR is experienced in resource-poor settings, because of lack of access to alternative antibiotics and because the prevalence of multidrug-resistant bacterial strains may be higher in low-income and middle-income countries (LMICs). Intelligent surveillance of AMR infections is key to informed policy decisions and public health interventions to counter AMR. Molecular surveillance using whole-genome sequencing (WGS) can be a valuable addition to phenotypic surveillance of AMR. WGS provides insights into the genetic basis of resistance mechanisms, as well as pathogen evolution and population dynamics at different spatial and temporal scales. Due to its high cost and complexity, WGS is currently mainly carried out in high-income countries. However, given its potential to inform national and international action plans against AMR, establishing WGS as a surveillance tool in LMICs will be important in order to produce a truly global picture. Here, we describe a roadmap for incorporating WGS into existing AMR surveillance frameworks, including WHO Global Antimicrobial Resistance Surveillance System, informed by our ongoing, practical experiences developing WGS surveillance systems in national reference laboratories in Colombia, India, Nigeria and the Philippines. Challenges and barriers to WGS in LMICs will be discussed together with a roadmap to possible solutions.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialHumansIndiaNigeriaWhole Genome SequencingAnti-Bacterial Agentsepidemiologyother diagnostic or toolpublic health

Identifiers

PMID33239336
PMCPMC7689591
OpenAlexW3184260509

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.