Evidence map›Paper›PMID 24837388›Full record

ArticleApplied and environmental microbiology2014

Novel microarray design for molecular serotyping of shiga toxin- producing Escherichia coli strains isolated from fresh produce.

David W Lacher, Jayanthi Gangiredla, Scott A Jackson, Christopher A Elkins, Peter C H Feng

Abstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Molecular characterization ofVeterinary world · 2021
    Article
  3. A Targeted Sequencing Assay for SerotypingFrontiers in microbiology · 2020
    Article
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  15. A complete view of the genetic diversity of the Escherichia coli O-antigen biosynthesis gene cluster.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    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

5 authors.

David W Lacher
Jayanthi Gangiredla
Scott A Jackson
Christopher A Elkins
Peter C H Feng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serotyping Escherichia coli is a cumbersome and complex procedure due to the existence of large numbers of O- and H-antigen types. It can also be unreliable, as many Shiga toxin-producing E. coli (STEC) strains isolated from fresh produce cannot be typed by serology or have only partial serotypes. The FDA E. coli identification (FDA-ECID) microarray, designed for characterizing pathogenic E. coli, contains a molecular serotyping component, which was evaluated here for its efficacy. Analysis of a panel of 75 reference E. coli strains showed that the array correctly identified the O and H types in 97% and 98% of the strains, respectively. Comparative analysis of 73 produce STEC strains showed that serology and the array identified 37% and 50% of the O types, respectively, and that the array was able to identify 16 strains that could not be O serotyped. Furthermore, the array identified the H types of 97% of the produce STEC strains compared to 65% by serology, including six strains that were mistyped by serology. These results show that the array is an effective alternative to serology in serotyping environmental E. coli isolates.

Indexed as

Food MicrobiologyMicroarray AnalysisSerotypingShiga-Toxigenic Escherichia coli

Identifiers

PMID24837388
PMCPMC4148803

What OpenQuestion holds

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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.