Evidence map›Paper›PMID 23409683›Full record

ArticleBMC infectious diseases2013

Multiplex qPCR for reliable detection and differentiation of Burkholderia mallei and Burkholderia pseudomallei.

Ingmar Janse, Raditijo A Hamidjaja, Amber C A Hendriks, Bart J van Rotterdam

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 30 citations in OpenAlex.

  1. Laboratory diagnosis of melioidosis.PLoS neglected tropical diseases · 2025
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ingmar JanseLaboratory for Zoonoses and Environmental Microbiology, National Institute for Public Health and the Environment (RIVM), Anthonie van Leeuwenhoeklaan 9, Bilthoven, MA, 3721, The Netherlands. ingmar.janse@rivm.nl
Raditijo A Hamidjaja
Amber C A Hendriks
Bart J van Rotterdam
National Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurkholderia mallei and B. pseudomallei are two closely related species of highly virulent bacteria that can be difficult to detect. Pathogenic Burkholderia are endemic in many regions worldwide and cases of infection, sometimes brought by travelers from unsuspected regions, also occur elsewhere. Rapid, sensitive methods for identification of B. mallei and B. pseudomallei are urgently needed in the interests of patient treatment and epidemiological surveillance.

methodsSignature sequences for sensitive, specific detection of pathogenic Burkholderia based on published genomes were identified and a qPCR assay was designed and validated.

resultsA single-reaction quadruplex qPCR assay for the detection of pathogenic Burkholderia, which includes a marker for internal control of DNA extraction and amplification, was developed. The assay permits differentiation of B. mallei and B. pseudomallei strains, and probit analysis showed a very low detection limit. Use of a multicopy signature sequence permits detection of less than 1 genome equivalent per reaction.

conclusionsThe new assay permits rapid detection of pathogenic Burkholderia and combines enhanced sensitivity, species differentiation, and inclusion of an internal control for both DNA extraction and PCR amplification.

Indexed as

AnimalsBacterial ProteinsBurkholderia malleiBurkholderia pseudomalleiGlandersHumansMelioidosisMolecular TypingMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityBacterial Proteins

Identifiers

PMID23409683
PMCPMC3579680
OpenAlexW1977787738

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.