Evidence map›Paper›PMID 23129055›Full record

ArticleAntimicrobial agents and chemotherapy2013

Evaluation of an expanded microarray for detecting antibiotic resistance genes in a broad range of gram-negative bacterial pathogens.

Roderick Card, Jiancheng Zhang, Priya Das, Charlotte Cook, Neil Woodford, Muna F Anjum

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  7. Use of whole genome sequencing of commensalEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
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  14. Utilizing Paper-Based Devices for Antimicrobial-Resistant Bacteria Detection.Angewandte Chemie (International ed. in English) · 2017
    Article
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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.

Roderick CardAnimal Health and Veterinary Laboratories Agency, Weybridge, New Haw, Addlestone, Surrey, United Kingdom.
Jiancheng Zhang
Priya Das
Charlotte Cook
Neil Woodford
Muna F Anjum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A microarray capable of detecting genes for resistance to 75 clinically relevant antibiotics encompassing 19 different antimicrobial classes was tested on 132 Gram-negative bacteria. Microarray-positive results correlated >91% with antimicrobial resistance phenotypes, assessed using British Society for Antimicrobial Chemotherapy clinical breakpoints; the overall test specificity was >83%. Microarray-positive results without a corresponding resistance phenotype matched 94% with PCR results, indicating accurate detection of genes present in the respective bacteria by microarray when expression was low or absent and, hence, undetectable by susceptibility testing. The low sensitivity and negative predictive values of the microarray results for identifying resistance to some antimicrobial resistance classes are likely due to the limited number of resistance genes present on the current microarray for those antimicrobial agents or to mutation-based resistance mechanisms. With regular updates, this microarray can be used for clinical diagnostics to help accurate therapeutic options to be taken following infection with multiple-antibiotic-resistant Gram-negative bacteria and prevent treatment failure.

Indexed as

Genes, BacterialOligonucleotide Array Sequence AnalysisAnti-Bacterial AgentsDrug Resistance, BacterialGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansMicrobial Sensitivity TestsPolymerase Chain ReactionSensitivity and SpecificityAnti-Bacterial Agents

Identifiers

PMID23129055
PMCPMC3535955

What OpenQuestion holds

Textmetadata
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.