Evidence map›Paper›PMID 36290062›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Multicentre Evaluation of the EUCAST Rapid Antimicrobial Susceptibility Testing (RAST) Extending Analysis to 16-20 Hours Reading Time.

Gabriele Bianco, Donatella Lombardo, Guido Ricciardelli, Matteo Boattini, Sara Comini, Rossana Cavallo, Cristina Costa, Simone Ambretti

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Article
  3. Direct MALDI-TOF MS identification and EUCAST RAST from positive blood cultures: impact on turnaround time in bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Diagnostic methods and protocols for rapid determination of methicillin resistance in Staphylococcus aureus bloodstream infections: a comparative analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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 at 2 institutions in 1 country.

Gabriele BiancoMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.
Donatella LombardoOperative Unit of Microbiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0003-0730-742X
Guido RicciardelliMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.
Matteo BoattiniMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.ORCID 0000-0001-6726-2716
Sara CominiMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.
Rossana CavalloMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.
Cristina CostaMicrobiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy.
Simone AmbrettiOperative Unit of Microbiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITAzienda USL di Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to evaluate the EUCAST RAST method by extending analysis to 16−20 h reading time and performance with new β-lactam/β-lactamase inhibitor combinations. A total of 676 positive blood cultures (BCs) were enrolled. Results at 4 h, 6 h, 8 h and 16−20 h were interpreted according to bacterial species using EUCAST RAST breakpoints (version 5.1). For species for which no breakpoints were available, tentative breakpoints were used. Categorical agreement with the Microscan microdilution system was analysed. Among the 676 BCs enrolled, 641 were monomicrobial and were included in the analysis. Categorical agreement ranged from 98.9% at 4 h to 99.4% at 16−20 h. The rates of very major errors were 3.3%, 3.7% and 3.4% at 4 h, 6 h and 8 h, respectively, and decreased to 1% at 16−20 h (p < 0.001). The number of major errors was low for each reading time (0.2% and 0.4% at 4 h and 6 h, respectively, and 0.3% at both 8 h and 16−20 h). The proportions of results in the area of technical uncertainty were 9.9%, 5.9%, 5% and 5.2% for readings at 4 h, 6 h, 8 h and 16−20 h, respectively. Tentative breakpoints proposed for Enterobacterales other than E.coli/K.pneumoniae and coagulase-negative staphylococci showed overall performances comparable to those observed for E. coli/K. pneumoniae and S. aureus. In conclusion, EUCAST RAST has been shown to be reliable to determine microbial susceptibility to main antimicrobials, including ceftazidime/avibactam and ceftolozane/tazobactam. A poorer performance was observed for certain species/antimicrobial agent combinations. The better performance observed at 16−20 h compared to the early readings may confer to the method greater potential for antimicrobial de-escalation interventions.

Indexed as

blood cultureceftazidime/avibactamceftolozane/tazobactamEUCAST RASTrapid susceptibility testing

Identifiers

PMID36290062
PMCPMC9599042
OpenAlexW4306149530

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.