Evidence map›Paper›PMID 26202110›Full record

ArticleJournal of clinical microbiology2015

Whole-Genome Mapping as a Novel High-Resolution Typing Tool for Legionella pneumophila.

Thijs Bosch, Sjoerd M Euser, Fabian Landman, Jacob P Bruin, Ed P IJzerman, Jeroen W den Boer, Leo M Schouls

Abstract readValidation Study
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Comparative Genomics ofMicroorganisms · 2023
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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

7 authors.

Thijs BoschNational Institute for Public Health and the Environment, Bilthoven, the Netherlands thijs.bosch@rivm.nl.
Sjoerd M EuserRegional Public Health Laboratory Kennemerland, Haarlem, the Netherlands.
Fabian LandmanNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Jacob P BruinRegional Public Health Laboratory Kennemerland, Haarlem, the Netherlands.
Ed P IJzermanRegional Public Health Laboratory Kennemerland, Haarlem, the Netherlands.
Jeroen W den BoerRegional Public Health Laboratory Kennemerland, Haarlem, the Netherlands.
Leo M SchoulsNational Institute for Public Health and the Environment, Bilthoven, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Legionella is the causative agent for Legionnaires' disease (LD) and is responsible for several large outbreaks in the world. More than 90% of LD cases are caused by Legionella pneumophila, and studies on the origin and transmission routes of this pathogen rely on adequate molecular characterization of isolates. Current typing of L. pneumophila mainly depends on sequence-based typing (SBT). However, studies have shown that in some outbreak situations, SBT does not have sufficient discriminatory power to distinguish between related and nonrelated L. pneumophila isolates. In this study, we used a novel high-resolution typing technique, called whole-genome mapping (WGM), to differentiate between epidemiologically related and nonrelated L. pneumophila isolates. Assessment of the method by various validation experiments showed highly reproducible results, and WGM was able to confirm two well-documented Dutch L. pneumophila outbreaks. Comparison of whole-genome maps of the two outbreaks together with WGMs of epidemiologically nonrelated L. pneumophila isolates showed major differences between the maps, and WGM yielded a higher discriminatory power than SBT. In conclusion, WGM can be a valuable alternative to perform outbreak investigations of L. pneumophila in real time since the turnaround time from culture to comparison of the L. pneumophila maps is less than 24 h.

Indexed as

Chromosome MappingDisease OutbreaksGenotypeHumansLegionella pneumophilaLegionnaires' DiseaseMolecular EpidemiologyMolecular TypingNetherlandsReproducibility of ResultsTime Factors

Identifiers

PMID26202110
PMCPMC4572561

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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.