Evidence map›Paper›PMID 30940985›Full record

ArticleBulletin of the World Health Organization2019

Evidence needed for antimicrobial resistance surveillance systems.

Cécile Aenishaenslin, Barbara Häsler, André Ravel, Jane Parmley, Katharina Stärk, David Buckeridge

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic review of surveillance systems for AMR in Africa.The Journal of antimicrobial chemotherapy · 2022
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Prevalence of Antimicrobial Resistance inAntibiotics (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. An integrated surveillance network for antimicrobial resistance, India.Bulletin of the World Health Organization · 2021
    Article
  19. Article
  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

6 authors.

Cécile AenishaenslinResearch Group on Epidemiology of Zoonoses and Public Health, Faculty of Veterinary Medicine, Université de Montréal, 3200 Sicoitte, Saint-Hyacinthe, J2S 2M2, Quebec, Canada.
Barbara HäslerDepartment of Pathobiology and Population Sciences, Royal Veterinary College, London, England.
André RavelResearch Group on Epidemiology of Zoonoses and Public Health, Faculty of Veterinary Medicine, Université de Montréal, 3200 Sicoitte, Saint-Hyacinthe, J2S 2M2, Quebec, Canada.
Jane ParmleyPublic Health Agency of Canada, Guelph, Canada.
Katharina StärkSAFOSO AG, Liebefeld, Switzerland.
David BuckeridgeDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health surveillance for antimicrobial resistance has been promoted by the scientific community and by international organizations for more than a decade. In this article, we highlight issues that need to be addressed to improve the understanding of the effectiveness of One Health surveillance for antimicrobial resistance. We also outline the evidence needed to support countries planning to increase the level of integration of their surveillance system. Based on experience in Canada and other countries, we argue that more effort is needed to understand and measure the added value of One Health for antimicrobial resistance surveillance and to identify the most effective integration strategies. To date, guidelines for the development of One Health surveillance have focused mainly on the types of data that should be integrated. However, it may be necessary to apply the concept of One Health to surveillance tasks beyond data integration to realize the full value of the approach. Integration can be enhanced across different surveillance activities (data collection, analysis, interpretation and dissemination), taking account of the different skills and perspectives of experts and stakeholders involved. More research is needed to investigate the mechanisms through which a One Health approach to surveillance can increase the performance of antimicrobial resistance surveillance and, ultimately, improve health outcomes.

Indexed as

Drug Resistance, BacterialGuidelines as TopicPublic Health SurveillanceAdvisory CommitteesAnimalsAnti-Bacterial AgentsAntimicrobial StewardshipCanadaFood MicrobiologyGlobal HealthHumansInterinstitutional RelationsInterprofessional RelationsProgram DevelopmentWorld Health OrganizationAnti-Bacterial Agents

Identifiers

PMID30940985
PMCPMC6438253

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.