Evidence map›Paper›PMID 30333569›Full record

ReviewNature reviews. Microbiology2019

Developmental roadmap for antimicrobial susceptibility testing systems.

Alex van Belkum, Till T Bachmann, Gerd Lüdke, Jan Gorm Lisby, Gunnar Kahlmeter, Allan Mohess, Karsten Becker, John P Hays, Neil Woodford, Konstantinos Mitsakakis and 6 more

Abstract readReviewConsensus Statement
In one paragraph

Review in Nature reviews. Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing 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

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

  1. Pooled it
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  16. Observational
  17. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  18. Article
  19. Article
  20. Multicenter evaluation of the QuickMICEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article

96 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

16 authors.

Alex van BelkumbioMérieux, Data Analytics Unit, La Balme Les Grottes, France. alex.vanbelkum@biomerieux.com.
Till T BachmannThe University of Edinburgh, Edinburgh Medical School, Division of Infection and Pathway Medicine, The Chancellor's Building, Edinburgh, UK.
Gerd LüdkeCuretis GmbH, Holzgerlingen, Germany.
Jan Gorm LisbyUniversity of Copenhagen, Amager and Hvidovre Hospital, Department of Clinical Microbiology, Hvidovre, Denmark.
Gunnar KahlmeterEUCAST Development Laboratory for Antimicrobial Susceptibility Testing, c/o Clinical Microbiology, Central Hospital, Växjö, Sweden.
Allan MohessbioMérieux, IT Solutions and Services, Durham, NC, USA.
Karsten BeckerUniversity of Münster, Institute of Medical Microbiology, Münster, Germany.ORCID http://orcid.org/0000-0002-6391-1341
John P HaysDepartment of Medical Microbiology & Infectious Diseases, Erasmus University Medical Centre (Erasmus MC), Rotterdam, Netherlands.
Neil WoodfordNIS Laboratories, National Infection Service, Public Health England, London, UK.
Konstantinos MitsakakisHahn-Schickard, Freiburg, Germany.
Jacob Moran-GiladDepartment of Health Policy and Management, School of Public Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Jordi VilaUniversity of Barcelona, School of Medicine, Clinical Microbiology, Hospital Clinic IS Global, 08036, Barcelona, Spain.
Harald PeterFraunhofer IZI-BB, Potsdam, Germany.
John H RexF2G Ltd, Lankro Way, Eccles, Manchester, UK.
Wm Michael DunnebioMérieux, Data Analytics Unit, 100 Rodolphe Street, Durham, NC, USA.
JPIAMR AMR-RDT Working Group on Antimicrobial Resistance and Rapid Diagnostic Testing

Funding

Medical Research Council MR/P026222/1
6 · The paper itself

Abstract

Antimicrobial susceptibility testing (AST) technologies help to accelerate the initiation of targeted antimicrobial therapy for patients with infections and could potentially extend the lifespan of current narrow-spectrum antimicrobials. Although conceptually new and rapid AST technologies have been described, including new phenotyping methods, digital imaging and genomic approaches, there is no single major, or broadly accepted, technological breakthrough that leads the field of rapid AST platform development. This might be owing to several barriers that prevent the timely development and implementation of novel and rapid AST platforms in health-care settings. In this Consensus Statement, we explore such barriers, which include the utility of new methods, the complex process of validating new technology against reference methods beyond the proof-of-concept phase, the legal and regulatory landscapes, costs, the uptake of new tools, reagent stability, optimization of target product profiles, difficulties conducting clinical trials and issues relating to quality and quality control, and present possible solutions.

Indexed as

Anti-Bacterial AgentsBacteriaGenomicsGlobal HealthHumansMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID30333569
PMCPMC7138758

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.