Evidence map›Paper›PMID 31431208›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2019

Strong correlation between the rates of intrinsically antibiotic-resistant species and the rates of acquired resistance in Gram-negative species causing bacteraemia, EU/EEA, 2016.

Vincent Jarlier, Liselotte Diaz Högberg, Ole E Heuer, José Campos, Tim Eckmanns, Christian G Giske, Hajo Grundmann, Alan P Johnson, Gunnar Kahlmeter, Jos Monen and 9 more

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Clinical epidemiology and case fatality due to antimicrobial resistance in Germany: a systematic review and meta-analysis, 1 January 2010 to 31 December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Antibiotic Resistance toJournal of dentistry (Shiraz, Iran) · 2025
    Article
  6. Review
  7. Review
  8. A long-term survey ofMicrobiology spectrum · 2024
    Article
  9. Article
  10. Article
  11. New Drugs for the Treatment ofAntibiotics (Basel, Switzerland) · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Antimicrobial Resistance inInternational journal of microbiology · 2021
    Article
  17. Article
  18. Diverse Gene Cassette Arrays Prevail in CommensalFrontiers in microbiology · 2020
    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

19 authors.

Vincent JarlierSorbonne Universités (Paris 06) Inserm Centre d'Immunologie et des Maladies Infectieuses (CIMI), UMR 1135, Paris, France.
Liselotte Diaz HögbergEuropean Centre for Disease Prevention and Control, Solna, Sweden.
Ole E HeuerEuropean Centre for Disease Prevention and Control, Solna, Sweden.
José CamposReference and Research Laboratory on Antimicrobial Resistance, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain.
Tim EckmannsRobert Koch Institute, Department for Infectious Disease Epidemiology, Berlin, Germany.
Christian G GiskeDepartment of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
Hajo GrundmannMedical Center - University of Freiburg, Department for Infection Prevention and Hospital Epidemiology, Freiburg, Germany.
Alan P JohnsonNational Infection Service, Public Health England, London, United Kingdom.
Gunnar KahlmeterClinical Microbiology, Central Hospital, Växjö, Sweden.
Jos MonenNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Annalisa PantostiDepartment of Infectious Diseases, Istituto Superiore di Sanità, Rome, Italy.
Gian Maria RossoliniDepartment of Experimental and Clinical Medicine, University of Florence, Italy.
Nienke van de Sande-BruinsmaPan American Health Organization/World Health Organization (PAHO/ WHO), Washington DC, United States.
Alkiviadis VatopoulosDepartment of Public Health Policy, School of Public Health, University of West Attica, Athens, Greece.
Dorota ŻabickaDepartment of Epidemiology and Clinical Microbiology, National Medicines Institute, Warsaw, Poland.
Helena ŽemličkováNational Institute of Public Health, National Reference Laboratory for Antibiotics, Prague, Czech Republic.
Dominique L MonnetEuropean Centre for Disease Prevention and Control, Solna, Sweden.
Gunnar Skov SimonsenDepartment of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway.
EARS-Net participantsThe members of the group are listed at the end of the article.

Funding

World Health Organization 001
6 · The paper itself

Abstract

BackgroundAntibiotic resistance, either intrinsic or acquired, is a major obstacle for treating bacterial infections.AimOur objective was to compare the country-specific species distribution of the four Gram-negative species

Indexed as

AcinetobacterAnti-Bacterial AgentsBacteremiaCarbapenemsCephalosporinsDrug Resistance, BacterialEscherichia coliEuropeEuropean UnionFluoroquinolonesGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsPseudomonas aeruginosaAnti-Bacterial AgentsCarbapenemsCephalosporinsFluoroquinolonesantibiotic resistanceantimicrobial resistancebacterial infectionsbloodstream infectionGram-negative bacilli

Identifiers

PMID31431208
PMCPMC6702794

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.