Evidence map›Paper›PMID 29305546›Full record

ArticleJournal of clinical microbiology2018

Multicenter Evaluation of the Accelerate PhenoTest BC Kit for Rapid Identification and Phenotypic Antimicrobial Susceptibility Testing Using Morphokinetic Cellular Analysis.

Preeti Pancholi, Karen C Carroll, Blake W Buchan, Raymond C Chan, Neelam Dhiman, Bradley Ford, Paul A Granato, Amanda T Harrington, Diana R Hernandez, Romney M Humphries and 12 more

Abstract readEvaluation StudyMulticenter 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 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
–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

82 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. AI-Assisted Diagnosis ofDiagnostics (Basel, Switzerland) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Antibiotic resistance inFrontiers in microbiology · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. A model for predicting bacteremia species based on host immune response.Frontiers in cellular and infection microbiology · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Preeti Pancholi *The Ohio State University Wexner Medical Center, Columbus, Ohio, USA Preeti.Pancholi@osumc.edu.
Karen C Carroll *The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Blake W BuchanMedical College of Wisconsin, Milwaukee, Wisconsin, USA.ORCID 0000-0002-4111-048X
Raymond C ChanCedars-Sinai Medical Center, Los Angeles, California, USA.
Neelam DhimanMed Fusion, Lewisville, Texas, USA.
Bradley FordUniversity of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.
Paul A GranatoLaboratory Alliance of Central New York, Liverpool, New York, USA.ORCID 0000-0002-5068-1137
Amanda T HarringtonLoyola University Medical Center, Maywood, Illinois, USA.
Diana R HernandezGeisinger, Danville, Pennsylvania, USA.ORCID 0000-0003-1377-4438
Romney M HumphriesUCLA, Los Angeles, California, USA.
Matthew R JindraThe Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Nathan A LedeboerMedical College of Wisconsin, Milwaukee, Wisconsin, USA.
Shelley A MillerUCLA, Los Angeles, California, USA.
A Brian MochonBanner Gateway Medical Center, Gilbert, Arizona, USA.
Margie A MorganCedars-Sinai Medical Center, Los Angeles, California, USA.
Robin PatelMayo Clinic, Rochester, Minnesota, USA.
Paul C SchreckenbergerLoyola University Medical Center, Maywood, Illinois, USA.
Paul D StamperMRIGlobal, Gaithersburg, Maryland, USA.
Patricia J SimnerThe Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nancy E TucciLaboratory Alliance of Central New York, Liverpool, New York, USA.
Cynthia ZimmermanMRIGlobal, Gaithersburg, Maryland, USA.
Donna M Wolk *Geisinger, Danville, Pennsylvania, USA.ORCID 0000-0003-2828-5135

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe results from a multicenter study evaluating the Accelerate Pheno system, a first of its kind diagnostic system that rapidly identifies common bloodstream pathogens from positive blood cultures within 90 min and determines bacterial phenotypic antimicrobial susceptibility testing (AST) results within ∼7 h. A combination of fresh clinical and seeded blood cultures were tested, and results from the Accelerate Pheno system were compared to Vitek 2 results for identification (ID) and broth microdilution or disk diffusion for AST. The Accelerate Pheno system accurately identified 14 common bacterial pathogens and two

Indexed as

PhenotypeAnti-Bacterial AgentsBlood CultureDisk Diffusion Antimicrobial TestsGram-Negative BacteriaGram-Negative Bacterial InfectionsGram-Positive BacteriaGram-Positive Bacterial InfectionsHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsReagent Kits, DiagnosticSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Bacterial AgentsReagent Kits, Diagnosticantimicrobial susceptibility testingbacteremiablood culturecandidemiaFISHidentificationMICmorphokinetic cellular analysisphenotypicrapid

Identifiers

PMID29305546
PMCPMC5869823

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.