Evidence map›Paper›PMID 37078868›Full record

ArticleMicrobiology spectrum2023

Rapid Identification of Pathogens Causing Bloodstream Infections by Raman Spectroscopy and Raman Tweezers.

Katarina Rebrosova, Silvie Bernatová, Martin Šiler, Jan Mašek, Ota Samek, Jan Ježek, Martin Kizovsky, Veronika Holá, Pavel Zemanek, Filip Růžička

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
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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

10 authors at 2 institutions in 1 country.

Katarina RebrosovaDepartment of Microbiology, Faculty of Medicine of Masaryk University, St. Anne's University Hospital, Brno, Czech Republic.ORCID 0000-0002-6577-1864
Silvie BernatováInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Martin ŠilerInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Jan MašekNational Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic.
Ota SamekInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Jan JežekInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Martin KizovskyInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Veronika HoláDepartment of Microbiology, Faculty of Medicine of Masaryk University, St. Anne's University Hospital, Brno, Czech Republic.
Pavel ZemanekInstitute of Scientific Instruments of the Czech Academy of Sciences, Brno, Czech Republic.
Filip RůžičkaDepartment of Microbiology, Faculty of Medicine of Masaryk University, St. Anne's University Hospital, Brno, Czech Republic.
Czech Academy of Sciences, Institute of Scientific Instruments · CZMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for the "Holy Grail" in clinical diagnostic microbiology-a reliable, accurate, low-cost, real-time, easy-to-use method-has brought up several methods with the potential to meet these criteria. One is Raman spectroscopy, an optical, nondestructive method based on the inelastic scattering of monochromatic light. The current study focuses on the possible use of Raman spectroscopy for identifying microbes causing severe, often life-threatening bloodstream infections. We included 305 microbial strains of 28 species acting as causative agents of bloodstream infections. Raman spectroscopy identified the strains from grown colonies, with 2.8% and 7% incorrectly identified strains using the support vector machine algorithm based on centered and uncentred principal-component analyses, respectively. We combined Raman spectroscopy with optical tweezers to speed up the process and captured and analyzed microbes directly from spiked human serum. The pilot study suggests that it is possible to capture individual microbial cells from human serum and characterize them by Raman spectroscopy with notable differences among different species.

Indexed as

SepsisSpectrum Analysis, RamanAlgorithmsHumansOptical TweezersPilot Projectsbacteriabloodstream infectionsCandidadiagnosticsRaman spectroscopyRaman tweezerssepsis

Identifiers

PMID37078868
PMCPMC10269886
OpenAlexW4366463993

What OpenQuestion holds

Textmetadata
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.