Evidence map›Paper›PMID 29238336›Full record

ArticleFrontiers in microbiology2017

Combination of Classifiers Identifies Fungal-Specific Activation of Lysosome Genes in Human Monocytes.

João P Leonor Fernandes Saraiva, Cristina Zubiria-Barrera, Tilman E Klassert, Maximilian J Lautenbach, Markus Blaess, Ralf A Claus, Hortense Slevogt, Rainer König

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

João P Leonor Fernandes SaraivaNetwork Modeling, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.
Cristina Zubiria-BarreraSeptomics Research Centre, Jena University Hospital, Jena, Germany.
Tilman E KlassertSeptomics Research Centre, Jena University Hospital, Jena, Germany.
Maximilian J LautenbachSeptomics Research Centre, Jena University Hospital, Jena, Germany.
Markus BlaessIntegrated Research and Treatment Center, Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany.
Ralf A ClausIntegrated Research and Treatment Center, Center for Sepsis Control and Care, Jena University Hospital, Jena, Germany.
Hortense SlevogtSeptomics Research Centre, Jena University Hospital, Jena, Germany.
Rainer KönigNetwork Modeling, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany.
Jena University Hospital · DELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood stream infections can be caused by several pathogens such as viruses, fungi and bacteria and can cause severe clinical complications including sepsis. Delivery of appropriate and quick treatment is mandatory. However, it requires a rapid identification of the invading pathogen. The current gold standard for pathogen identification relies on blood cultures and these methods require a long time to gain the needed diagnosis. The use of

Indexed as

classificationfeature selectiongene expressionmachine learningSVM

Identifiers

PMID29238336
PMCPMC5712586
OpenAlexW2769771033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.