Evidence map›Paper›PMID 35756053›Full record

ArticleFrontiers in microbiology2022

One Day in Denmark: Comparison of Phenotypic and Genotypic Antimicrobial Susceptibility Testing in Bacterial Isolates From Clinical Settings.

Ana Rita Rebelo, Valeria Bortolaia, Pimlapas Leekitcharoenphon, Dennis Schrøder Hansen, Hans Linde Nielsen, Svend Ellermann-Eriksen, Michael Kemp, Bent Løwe Røder, Niels Frimodt-Møller, Turid Snekloth Søndergaard and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 41 citations in OpenAlex.

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  16. Genomic characterization ofMicrobial genomics · 2025
    Article
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  18. Genomic Diversity, Virulome, and Resistome ofPathogens (Basel, Switzerland) · 2025
    Article
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  20. Review
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

14 authors at 12 institutions in 1 country.

Ana Rita RebeloNational Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Valeria BortolaiaNational Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Pimlapas LeekitcharoenphonNational Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Dennis Schrøder HansenDepartment of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark.
Hans Linde NielsenDepartment of Clinical Microbiology, Aalborg University Hospital, Aalborg, Denmark.
Svend Ellermann-EriksenDepartment of Clinical Microbiology, Aarhus University Hospital, Aarhus, Denmark.
Michael KempDepartment of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
Bent Løwe RøderDepartment of Clinical Microbiology, Slagelse Hospital, Slagelse, Denmark.
Niels Frimodt-MøllerDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Turid Snekloth SøndergaardDepartment of Clinical Microbiology, Hospital of Southern Jutland, Sønderborg, Denmark.
John Eugenio CoiaDepartment of Clinical Microbiology, Hospital of South West Jutland, Esbjerg, Denmark.
Claus ØstergaardDepartment of Clinical Microbiology, Vejle Hospital, Vejle, Denmark.
Henrik WesthDepartment of Clinical Microbiology, Hvidovre Hospital, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark.
Frank M AarestrupNational Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Technical University of Denmark · DKAalborg University Hospital · DKAarhus University Hospital · DKGentofte Hospital · DKHospital South West Jutland · DKHvidovre Hospital · DKOdense University Hospital · DKRigshospitalet · DKSlagelse Hospital · DKStatens Serum Institut · DKSygehus Sønderjylland · DKVejle Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial susceptibility testing (AST) should be fast and accurate, leading to proper interventions and therapeutic success. Clinical microbiology laboratories rely on phenotypic methods, but the continuous improvement and decrease in the cost of whole-genome sequencing (WGS) technologies make them an attractive alternative. Studies evaluating the performance of WGS-based prediction of antimicrobial resistance (AMR) for selected bacterial species have shown promising results. There are, however, significant gaps in the literature evaluating the applicability of WGS as a diagnostics method in real-life clinical settings against the range of bacterial pathogens experienced there. Thus, we compared standard phenotypic AST results with WGS-based predictions of AMR profiles in bacterial isolates without preselection of defined species, to evaluate the applicability of WGS as a diagnostics method in clinical settings. We collected all bacterial isolates processed by all Danish Clinical Microbiology Laboratories in 1 day. We randomly selected 500 isolates without any preselection of species. We performed AST through standard broth microdilution (BMD) for 488 isolates (

Indexed as

antimicrobial resistance (AMR)antimicrobial resistance genes (ARGs)concordancegenotypein silico antibiogramphenotypewhole-genome sequencing (WGS)

Identifiers

PMID35756053
PMCPMC9226621
OpenAlexW4281660341

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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.