Evidence map›Paper›PMID 25768007›Full record

ArticlePloS one2015

Improved protocol for rapid identification of certain spa types using high resolution melting curve analysis.

Benjamin Mayerhofer, Anna Stöger, Ariane T Pietzka, Haizpea Lasa Fernandez, Bernhard Prewein, Sieglinde Sorschag, Renate Kunert, Franz Allerberger, Werner Ruppitsch

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Article
  6. Characterization ofInfection and drug resistance · 2020
    Article
  7. Evaluation of high-resolution melting analysis forNew microbes and new infections · 2019
    Article
  8. Letter to the editor: Livestock-associated meticillin-resistantEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017
    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

9 authors at 3 institutions in 1 country.

Benjamin MayerhoferUniversity of Applied Sciences Wiener Neustadt, Department of Biomedical Analytics, Wiener Neustadt, Austria; Austrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria.
Anna StögerAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria.
Ariane T PietzkaAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria.
Haizpea Lasa FernandezAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria.
Bernhard PreweinAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria; University of Natural Resources and Life Sciences, Department of Biotechnology, Institute of Applied Microbiology, Vienna, Austria.
Sieglinde SorschagKABEG, Klinikum Klagenfurt, Institute of Laboratory Diagnostics and Microbiology, Klagenfurt, Austria.
Renate KunertUniversity of Natural Resources and Life Sciences, Department of Biotechnology, Institute of Applied Microbiology, Vienna, Austria.
Franz AllerbergerAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria.
Werner RuppitschAustrian Agency for Health and Food Safety, Institute of Medical Microbiology and Hygiene, Vienna, Austria; University of Natural Resources and Life Sciences, Department of Biotechnology, Institute of Applied Microbiology, Vienna, Austria.
Austrian Agency for Health and Food Safety · ATBOKU University · ATKlinikum Klagenfurt · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methicillin-resistant Staphylococcus aureus is one of the most significant pathogens associated with health care. For efficient surveillance, control and outbreak investigation, S. aureus typing is essential. A high resolution melting curve analysis was developed and evaluated for rapid identification of the most frequent spa types found in an Austrian hospital consortium covering 2,435 beds. Among 557 methicillin-resistant Staphylococcus aureus isolates 38 different spa types were identified by sequence analysis of the hypervariable region X of the protein A gene (spa). Identification of spa types through their characteristic high resolution melting curve profiles was considerably improved by double spiking with genomic DNA from spa type t030 and spa type t003 and allowed unambiguous and fast identification of the ten most frequent spa types t001 (58%), t003 (12%), t190 (9%), t041 (5%), t022 (2%), t032 (2%), t008 (2%), t002 (1%), t5712 (1%) and t2203 (1%), representing 93% of all isolates within this hospital consortium. The performance of the assay was evaluated by testing samples with unknown spa types from the daily routine and by testing three different high resolution melting curve analysis real-time PCR instruments. The ten most frequent spa types were identified from all samples and on all instruments with 100% specificity and 100% sensitivity. Compared to classical spa typing by sequence analysis, this gene scanning assay is faster, cheaper and can be performed in a single closed tube assay format. Therefore it is an optimal screening tool to detect the most frequent endemic spa types and to exclude non-endemic spa types within a hospital.

Indexed as

Bacterial Typing TechniquesDNA, BacterialHumansMethicillin-Resistant Staphylococcus aureusNucleic Acid DenaturationStaphylococcal InfectionsStaphylococcal Protein ADNA, BacterialStaphylococcal Protein A

Identifiers

PMID25768007
PMCPMC4358892
OpenAlexW1988348357

What OpenQuestion holds

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LicenceCC BY
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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.