Evidence map›Paper›PMID 27094332›Full record

ArticlemBio2016

Evaluation of a Fully Automated Research Prototype for the Immediate Identification of Microorganisms from Positive Blood Cultures under Clinical Conditions.

Jay M Hyman, John D Walsh, Christopher Ronsick, Mark Wilson, Kevin C Hazen, Larisa Borzhemskaya, John Link, Bradford Clay, Michael Ullery, Mirta Sanchez-Illan and 4 more

Erratum issuedOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Biographical Feature: William Michael Dunne, Jr., Ph.D.Journal of clinical microbiology · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Jay M HymanbioMérieux Inc., Durham, North Carolina, USA.
John D WalshbioMérieux Inc., Durham, North Carolina, USA.
Christopher RonsickbioMérieux Inc., Durham, North Carolina, USA.
Mark WilsonbioMérieux Inc., Durham, North Carolina, USA.
Kevin C HazenDepartment of Pathology, Clinical Microbiology Laboratory, Duke University, Durham, North Carolina, USA.
Larisa BorzhemskayabioMérieux Inc., Durham, North Carolina, USA.
John LinkbioMérieux Inc., Durham, North Carolina, USA.
Bradford ClaybioMérieux Inc., Hazelwood, Missouri, USA.
Michael UllerybioMérieux Inc., Hazelwood, Missouri, USA.
Mirta Sanchez-IllanbioMérieux Inc., Durham, North Carolina, USA.
Steven RothenbergbioMérieux Inc., Durham, North Carolina, USA.
Ron RobinsonbioMérieux Inc., Hazelwood, Missouri, USA.
Alex van BelkumbioMérieux SA, La Balme les Grottes, France.
W Michael DunnebioMérieux Inc., Durham, North Carolina, USA william.dunne@biomerieux.com.
bioMérieux (United States) · USbioMérieux (France) · FRDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledA clinical laboratory evaluation of an intrinsic fluorescence spectroscopy (IFS)-based identification system paired to a BacT/Alert Virtuo microbial detection system (bioMérieux, Inc., Durham, NC) was performed to assess the potential for fully automated identification of positive blood cultures. The prototype IFS system incorporates a novel method combining a simple microbial purification procedure with rapid in situ identification via spectroscopy. Results were available within 15 min of a bottle signaling positive and required no manual intervention. Among cultures positive for organisms contained within the database and producing acceptable spectra, 75 of 88 (85.2%) and 79 of 88 (89.8%) were correctly identified to the species and genus level, respectively. These results are similar to the performance of existing rapid methods. IMPORTANCE: A fully automated research platform was developed to identify microbial growth from positive blood cultures in <15 min. Because of the automated format, results can be generated during all shifts, with or without staffing, which in turn could promote more timely administration of target antimicrobial therapy.

Indexed as

AutomationBacteremiaBacteriaBlood CultureHumansSpectrometry, Fluorescence

Identifiers

PMID27094332
PMCPMC4850265
OpenAlexW2340521141

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.