Evidence map›Paper›PMID 38194628›Full record

ArticleMicrobiology spectrum2023

False aminoglycoside resistance in Enterobacterales and non-fermenters by an automated testing system: a descriptive study.

P M C Klein Klouwenberg, W Altorf-van der Kuil, A J van Griethuysen, M Hendriks, E J Kuijper, D W Notermans, A F Schoffelen, ISIS-AR study group

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

8 authors.

P M C Klein KlouwenbergDepartment of pharmacy, Fundashon Mariadal , Kralendijk, Bonaire, the Netherlands.ORCID 0000-0002-8155-5336
W Altorf-van der KuilCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM) , Bilthoven, the Netherlands.
A J van GriethuysenDepartment of Medical Microbiology, Gelderse Vallei Hospital , Ede, the Netherlands.
M HendriksDepartment of Medical Microbiology, Gelderse Vallei Hospital , Ede, the Netherlands.
E J KuijperCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM) , Bilthoven, the Netherlands.ORCID 0000-0001-5726-2405
D W NotermansCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM) , Bilthoven, the Netherlands.
A F SchoffelenCentre for Infectious Disease Control (CIb), National Institute for Public Health and the Environment (RIVM) , Bilthoven, the Netherlands.ORCID 0000-0003-3447-2009
ISIS-AR study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceAntimicrobial sensitivity data are important to guide antimicrobial therapy. In microbiological laboratories, routine sensitivity measurements are typically performed with automated testing systems such as VITEK2 and Phoenix. Using data from the Dutch national surveillance system for antimicrobial resistance over a 6-year period, we found that the measured minimum inhibitory concentrations for aminoglycosides in Enterobacterales and non-fermenters were too high for the Phoenix system. In addition, we observed a yearly increase in resistance for several species measured by Phoenix. These findings might have consequences for clinical treatment of patients with sepsis.

Indexed as

AminoglycosidesGammaproteobacteriaAnti-Bacterial AgentsGram-Negative BacteriaHumansLaboratoriesAminoglycosidesAnti-Bacterial Agentsaminoglycosidesantimicrobial susceptibility testingautomated testing systemgentamicin

Identifiers

PMID38194628
PMCPMC10790582

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Registered trials

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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.