Evidence map›Paper›PMID 28446572›Full record

ArticleJournal of clinical microbiology2017

Evaluation of the Accelerate Pheno System for Fast Identification and Antimicrobial Susceptibility Testing from Positive Blood Cultures in Bloodstream Infections Caused by Gram-Negative Pathogens.

Matthias Marschal, Johanna Bachmaier, Ingo Autenrieth, Philipp Oberhettinger, Matthias Willmann, Silke Peter

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
16.9field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 165 citations in OpenAlex.

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  14. Review
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  18. Rapid AST: Possibility of inferring resistance mechanisms with complex phenotypes.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Article
  19. Review
  20. Article

21 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 1 country.

Matthias MarschalInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Johanna BachmaierInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Ingo AutenriethInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Philipp OberhettingerInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Matthias WillmannInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany.
Silke PeterInstitute of Medical Microbiology and Hygiene, University of Tübingen, Tübingen, Germany silke.peter@med.uni-tuebingen.de.
German Center for Infection Research · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections (BSI) are an important cause of morbidity and mortality. Increasing rates of antimicrobial-resistant pathogens limit treatment options, prompting an empirical use of broad-range antibiotics. Fast and reliable diagnostic tools are needed to provide adequate therapy in a timely manner and to enable a de-escalation of treatment. The Accelerate Pheno system (Accelerate Diagnostics, USA) is a fully automated test system that performs both identification and antimicrobial susceptibility testing (AST) directly from positive blood cultures within approximately 7 h. In total, 115 episodes of BSI with Gram-negative bacteria were included in our study and compared to conventional culture-based methods. The Accelerate Pheno system correctly identified 88.7% (102 of 115) of all BSI episodes and 97.1% (102 of 105) of isolates that are covered by the system's identification panel. The Accelerate Pheno system generated an AST result for 91.3% (95 of 104) samples in which the Accelerate Pheno system identified a Gram-negative pathogen. The overall category agreement between the Accelerate Pheno system and culture-based AST was 96.4%, the rates for minor discrepancies 1.4%, major discrepancies 2.3%, and very major discrepancies 1.0%. Of note, ceftriaxone, piperacillin-tazobactam, and carbapenem resistance was correctly detected in blood culture specimens with extended-spectrum beta-lactamase-producing

Indexed as

Automation, LaboratoryBacteriological TechniquesBloodGram-Negative BacteriaGram-Negative Bacterial InfectionsHumansSensitivity and SpecificitySepsisTime Factorsantimicrobial susceptibility testingbloodstream infectionsrapid tests

Identifiers

PMID28446572
PMCPMC5483913
OpenAlexW2609966493

What OpenQuestion holds

Textmetadata
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.