Evidence map›Paper›PMID 30051799›Full record

ArticleJournal of medical microbiology2018

Multicenter assessment of the rapid Unyvero Blood Culture molecular assay.

Sandra Christina Burrack-Lange, Yoann Personne, Monika Huber, Elisabeth Winkler, Jan Weile, Cornelius Knabbe, Julia Görig, Holger Rohde

Abstract readEvaluation StudyMulticenter Study
In one paragraph

Article in Journal of medical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Rapid commercial CTX-M diagnostics: Performance, limitations and clinical impact.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  2. Detection of Fluconazole Resistance inJournal of fungi (Basel, Switzerland) · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Multiplex microarray PCR Unyvero BCU system to accelerate relevant antimicrobial treatment in polymicrobial bloodstream infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  7. Proteomic assay for rapid characterisation of Staphylococcus aureus antimicrobial resistance mechanisms directly from blood cultures.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  8. Antibiotics (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Article
  11. Detection of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021
    Review
  12. Review
  13. SIRS Triggered by Acute Right Ventricular Function, Mimicked Septic Shock.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2019
    Article
  14. 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

8 authors.

Sandra Christina Burrack-Lange1​Curetis GmbH, Max-Eyth-Straße 42, 71088, Holzgerlingen, Germany.
Yoann Personne1​Curetis GmbH, Max-Eyth-Straße 42, 71088, Holzgerlingen, Germany.
Monika Huber2​SMZ Otto Wagner Spital, Pathologisch-Bakteriologisches Institut, Vienna, Austria.
Elisabeth Winkler2​SMZ Otto Wagner Spital, Pathologisch-Bakteriologisches Institut, Vienna, Austria.
Jan Weile3​Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Bad Oeynhausen, Germany.
Cornelius Knabbe3​Institut für Laboratoriums- und Transfusionsmedizin, Herz- und Diabeteszentrum Nordrhein-Westfalen, Universitätsklinik der Ruhr-Universität Bochum, Bad Oeynhausen, Germany.
Julia Görig4​Institut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany.
Holger Rohde4​Institut für Medizinische Mikrobiologie, Virologie und Hygiene, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBloodstream infections remain an important cause of morbidity and mortality. Rapid diagnosis can reduce the time from empiric antimicrobial therapy to targeted therapy and improve patient outcomes. METHODOLOGY: The fully automated Unyvero Blood Culture (BCU) Application (Curetis GmbH) can identify a broad panel of pathogens (36 analytes covering over 50 pathogens) and 16 antibiotic resistance gene markers simultaneously in about 5 h. The assay was evaluated in three clinical laboratories in comparison to routine microbiological procedures.

resultsA total of 207 blood cultures were included in the study, and 90.5 % of the species identified by culture were covered by the Unyvero BCU panel with an overall sensitivity of 96.8 % and specificity of 99.8 %. The time to result was reduced on average by about 34 h. The assay accurately identified 95 % of the species, including 158/164 monomicrobial and 7/9 polymicrobial cultures. The Unyvero BCU Cartridge detected a large number of resistance markers including mecA (n=57), aac(6')aph(2'') (n=40), one vanB resistance gene, and six instances of blaCTX-M.

conclusionThe Unyvero BCU Application provided fast, reliable results, while significantly improving turnaround time in blood culture diagnostics.

Indexed as

Anti-Bacterial AgentsBacteremiaBacteriaBacterial ProteinsBlood CultureHumansMultiplex Polymerase Chain ReactionPolymerase Chain ReactionSensitivity and SpecificityAnti-Bacterial AgentsBacterial Proteinsantibiotic resistanceblood cultureBloodstream infectiondiagnosticsmultiplex PCRsepsis

Identifiers

PMID30051799
PMCPMC6230722

What OpenQuestion holds

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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.