Evidence map›Paper›PMID 27384540›Full record

ArticlePloS one2016

The IRIDICA BAC BSI Assay: Rapid, Sensitive and Culture-Independent Identification of Bacteria and Candida in Blood.

David Metzgar, Mark W Frinder, Richard E Rothman, Stephen Peterson, Karen C Carroll, Sean X Zhang, Gideon D Avornu, Megan A Rounds, Heather E Carolan, Donna M Toleno and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
10.2field-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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Diagnostic stewardship in sepsis: minding the gap from the microbiology lab to ward.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2025
    Review
  4. Article
  5. Performance of T2Bacteria in relationship to blood cultures - a retrospective comparative study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Diagnosis and Treatment of Invasive Candidiasis.Antibiotics (Basel, Switzerland) · 2022
    Review
  12. Article
  13. Review
  14. Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021
    Review
  15. Mass Spectrometry Proteotyping-Based Detection and Identification ofFrontiers in cellular and infection microbiology · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Emerging Analytical Techniques for Rapid Pathogen Identification and Susceptibility Testing.Annual review of analytical chemistry (Palo Alto, Calif.) · 2019
    Review
  20. 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

18 authors at 5 institutions in 1 country.

David MetzgarIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Mark W FrinderIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Richard E RothmanDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Stephen PetersonDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Karen C CarrollThe Johns Hopkins Hospital Clinical Microbiology Laboratory, Baltimore, Maryland, United States of America.
Sean X ZhangThe Johns Hopkins Hospital Clinical Microbiology Laboratory, Baltimore, Maryland, United States of America.
Gideon D AvornuDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Megan A RoundsIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Heather E CarolanIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Donna M TolenoIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
David MooreIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Thomas A HallIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Christian MassireIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Gregory S RichmondIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Jose R GutierrezIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Rangarajan SampathIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
David J EckerIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Lawrence B BlynIbis Biosciences, an Abbott Company, Carlsbad, California, United States of America.
Abbott (United States) · USIonis Pharmaceuticals (United States) · USJohns Hopkins Hospital · USJohns Hopkins University · USJohns Hopkins Medicine · US

Funding

Vaccine strategy for broad spectrum protection agains non-typhoidal salmonellU54AI057168 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI WHITE, JUDITH M. · 2003 to 2013
$91.5M
NIAID NIH HHS U54 AI057168
6 · The paper itself

Abstract

unlabelledBloodstream infection (BSI) and sepsis are rising in incidence throughout the developed world. The spread of multi-drug resistant organisms presents increasing challenges to treatment. Surviving BSI is dependent on rapid and accurate identification of causal organisms, and timely application of appropriate antibiotics. Current culture-based methods used to detect and identify agents of BSI are often too slow to impact early therapy and may fail to detect relevant organisms in many positive cases. Existing methods for direct molecular detection of microbial DNA in blood are limited in either sensitivity (likely the result of small sample volumes) or in breadth of coverage, often because the PCR primers and probes used target only a few specific pathogens. There is a clear unmet need for a sensitive molecular assay capable of identifying the diverse bacteria and yeast associated with BSI directly from uncultured whole blood samples. We have developed a method of extracting DNA from larger volumes of whole blood (5 ml per sample), amplifying multiple widely conserved bacterial and fungal genes using a mismatch- and background-tolerant PCR chemistry, and identifying hundreds of diverse organisms from the amplified fragments on the basis of species-specific genetic signatures using electrospray ionization mass spectrometry (PCR/ESI-MS). We describe the analytical characteristics of the IRIDICA BAC BSI Assay and compare its pre-clinical performance to current standard-of-care methods in a collection of prospectively collected blood specimens from patients with symptoms of sepsis. The assay generated matching results in 80% of culture-positive cases (86% when common contaminants were excluded from the analysis), and twice the total number of positive detections. The described method is capable of providing organism identifications directly from uncultured blood in less than 8 hours. DISCLAIMER: The IRIDICA BAC BSI Assay is not available in the United States.

Indexed as

AlgorithmsAnti-Bacterial AgentsBacteriaBacterial InfectionsBiological AssayCandidaCandidiasisDNA PrimersDrug Resistance, BacterialDrug Resistance, FungalHumansLimit of DetectionPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySepsisAnti-Bacterial AgentsDNA Primers

Identifiers

PMID27384540
PMCPMC4934770
OpenAlexW2467123431

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.