Evidence map›Paper›PMID 29386262›Full record

ArticleJournal of clinical microbiology2018

Evaluation of the Accelerate Pheno System: Results from Two Academic Medical Centers.

Joseph D Lutgring, Cassiana Bittencourt, Erin McElvania TeKippe, Dominick Cavuoti, Rita Hollaway, Eileen M Burd

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Rapid AST: Possibility of inferring resistance mechanisms with complex phenotypes.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2024
    Article
  9. Article
  10. Review
  11. Rapid and Simple Approaches for Diagnosis ofPolish journal of microbiology · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Performance evaluation of AlfredEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  17. Article
  18. Rapid Methods for Antimicrobial Resistance Diagnostics.Antibiotics (Basel, Switzerland) · 2021
    Review
  19. Review
  20. Review
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.

Joseph D LutgringDepartment of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia, USA joseph.lutgring@emory.edu.
Cassiana BittencourtDepartment of Pathology, University of California, Irvine, California, USA.
Erin McElvania TeKippeDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Dominick CavuotiDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Rita HollawayDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Eileen M BurdDepartment of Pathology, Emory University School of Medicine, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid diagnostic tests are needed to improve patient care and to combat the problem of antimicrobial resistance. The Accelerate Pheno system (Accelerate Diagnostics, Tucson, AZ) is a new diagnostic device that can provide rapid bacterial identification and antimicrobial susceptibility test (AST) results directly from a positive blood culture. The device was compared to the standard of care at two academic medical centers. There were 298 blood cultures included in the study, and the Accelerate Pheno system provided a definitive identification result in 218 instances (73.2%). The Accelerate Pheno system provided a definitive and correct result for 173 runs (58.1%). The Accelerate Pheno system demonstrated an overall sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 94.7%, 98.9%, 83.7%, and 99.7%, respectively. An AST result was available for analysis in 146 instances. The overall category agreement was 94.1% with 12 very major errors, 5 major errors, and 55 minor errors. After a discrepancy analysis, there were 5 very major errors and 4 major errors. The Accelerate Pheno system provided an identification result in 1.4 h and an AST result in 6.6 h; the identification and AST results were 41.5 h and 48.4 h faster than those with the standard of care, respectively. This study demonstrated that the Accelerate Pheno system is able to provide fast and accurate organism identification and AST data. A limitation is the frequency with which cultures required the use of alternative identification and AST methods.

Indexed as

Reagent Kits, DiagnosticAcademic Medical CentersAnti-Bacterial AgentsBacteremiaBlood CultureData AccuracyGram-Negative BacteriaGram-Negative Bacterial InfectionsGram-Positive BacteriaGram-Positive Bacterial InfectionsHumansMicrobial Sensitivity TestsSensitivity and SpecificityTime FactorsAnti-Bacterial AgentsReagent Kits, Diagnosticantimicrobial resistanceantimicrobial susceptibility testingbacteremiabloodstream infectionsdiagnosticsrapid diagnostic testing

Identifiers

PMID29386262
PMCPMC5869849

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.