Evidence map›Paper›PMID 22768173›Full record

ArticlePloS one2012

Rapid and high-throughput detection of highly pathogenic bacteria by Ibis PLEX-ID technology.

Daniela Jacob, Uschi Sauer, Roberta Housley, Cicely Washington, Kristin Sannes-Lowery, David J Ecker, Rangarajan Sampath, Roland Grunow

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Multiplex PCR System for the Diagnosis of Plague.Current molecular medicine · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. A Case of Bordetella brochiseptica at a Military Medical Facility in Hawai'i: Phenotypic and Molecular Testing of an Uncommon Human Pathogen.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2015
    Article
  9. Article
  10. Review
  11. Molecular diagnosis of sepsis: New aspects and recent developments.European journal of microbiology & immunology · 2014
    Article
  12. Review
  13. Article
  14. 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

8 authors.

Daniela JacobRobert Koch-Institut, Berlin, Germany.
Uschi Sauer
Roberta Housley
Cicely Washington
Kristin Sannes-Lowery
David J Ecker
Rangarajan Sampath
Roland Grunow

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this manuscript, we describe the identification of highly pathogenic bacteria using an assay coupling biothreat group-specific PCR with electrospray ionization mass spectrometry (PCR/ESI-MS) run on an Ibis PLEX-ID high-throughput platform. The biothreat cluster assay identifies most of the potential bioterrorism-relevant microorganisms including Bacillus anthracis, Francisella tularensis, Yersinia pestis, Burkholderia mallei and pseudomallei, Brucella species, and Coxiella burnetii. DNA from 45 different reference materials with different formulations and different concentrations were chosen and sent to a service screening laboratory that uses the PCR/ESI-MS platform to provide a microbial identification service. The standard reference materials were produced out of a repository built up in the framework of the EU funded project "Establishment of Quality Assurances for Detection of Highly Pathogenic Bacteria of Potential Bioterrorism Risk" (EQADeBa). All samples were correctly identified at least to the genus level.

Indexed as

BacteriaDNA, BacterialGenome, BacterialHigh-Throughput Nucleotide SequencingMicrobial ViabilityPolymerase Chain ReactionSpectrometry, Mass, Electrospray IonizationDNA, Bacterial

Identifiers

PMID22768173
PMCPMC3386907

What OpenQuestion holds

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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.