Evidence map›Paper›PMID 28855689›Full record

ArticleScientific reports2017

Multicentre evaluation of the BYG Carba v2.0 test, a simplified electrochemical assay for the rapid laboratory detection of carbapenemase-producing Enterobacteriaceae.

Pierre Bogaerts, Saoussen Oueslati, Danièle Meunier, Claire Nonhoff, Sami Yunus, Marion Massart, Olivier Denis, Neil Woodford, Katie L Hopkins, Thierry Naas and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Detection of Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2021
    Review
  6. Article
  7. Review
  8. Review
  9. The Global Ascendency of OXA-48-Type Carbapenemases.Clinical microbiology reviews · 2019
    Review
  10. Review
  11. 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

13 authors.

Pierre BogaertsLaboratory of clinical microbiology, National reference center for monitoring antimicrobial resistance in Gram-negative bacteria, CHU UCL Namur, Yvoir, Belgium. pierre.bogaerts@uclouvain.be.
Saoussen OueslatiBacteriology-Hygiene unit, Assistance Publique/Hôpitaux de Paris, Bicêtre Hospital, Le Kremlin-Bicêtre, France.
Danièle MeunierAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, NW9 5EQ, UK.ORCID 0000-0003-4678-8094
Claire NonhoffDepartment of Microbiology, Associated national reference center, Hôpital Erasme, Université Libre de Bruxelles, Route de Lennik 808, 1070, Brussels, Belgium.
Sami YunusBio and Soft Matter, Institute of Condensed Matter and Nanosciences, Université catholique de Louvain, Louvain-La-Neuve, Belgium.
Marion MassartLaboratory of clinical microbiology, National reference center for monitoring antimicrobial resistance in Gram-negative bacteria, CHU UCL Namur, Yvoir, Belgium.
Olivier DenisDepartment of Microbiology, Associated national reference center, Hôpital Erasme, Université Libre de Bruxelles, Route de Lennik 808, 1070, Brussels, Belgium.
Neil WoodfordAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, NW9 5EQ, UK.
Katie L HopkinsAntimicrobial Resistance and Healthcare Associated Infections (AMRHAI) Reference Unit, National Infection Service, Public Health England, London, NW9 5EQ, UK.
Thierry NaasBacteriology-Hygiene unit, Assistance Publique/Hôpitaux de Paris, Bicêtre Hospital, Le Kremlin-Bicêtre, France.
Laurent DortetBacteriology-Hygiene unit, Assistance Publique/Hôpitaux de Paris, Bicêtre Hospital, Le Kremlin-Bicêtre, France.
Te-Din HuangLaboratory of clinical microbiology, National reference center for monitoring antimicrobial resistance in Gram-negative bacteria, CHU UCL Namur, Yvoir, Belgium.
Youri GlupczynskiLaboratory of clinical microbiology, National reference center for monitoring antimicrobial resistance in Gram-negative bacteria, CHU UCL Namur, Yvoir, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of carbapenemase-producing Enterobacteriaceae (CPE) represents a major challenge for microbiology laboratories. We evaluated the BYG Carba v2.0 using a simplified protocol, which detects CPE in less than 30 minutes. This new procedure reduces the hands-on-time from 5 to one minute and only requires a limited amount of material (one to three colonies) thereby preventing the need for subculturing bacterial isolates to reach a larger amount of pure biomass. This multicentre study involved four European reference laboratories. For the 1181 isolates tested across four centres, BYG Carba v2.0 yielded overall sensitivity and specificity of 96.3% (CI95: 94.5-97.5) and 99.7% (CI95: 98.6-100) respectively. Considering only the 670 consecutive isolates tested prospectively, the BYG Carba v2.0 displayed overall positive and negative predictive values of 99.7% (CI95: 95.4-98.9) and 97.5% (CI95: 94.9-98.8). Regarding time to positivity, 85% of CPE detected were positive within ten minutes. The BYG Carba v2.0 is a new highly simplified, rapid and accurate electrochemical assay discriminating between CPE and non-CPE in less than 30 min. The real-time quantified signal allows objective and traceable interpretation of the results.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeEarly DiagnosisElectrochemical TechniquesEnterobacteriaceae InfectionsHumansMicrobial Sensitivity TestsProspective StudiesSensitivity and SpecificityTime Factors

Identifiers

PMID28855689
PMCPMC5577128

What OpenQuestion holds

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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.