Evidence map›Paper›PMID 24478493›Full record

ArticleJournal of clinical microbiology2014

Colorimetric sensor array allows fast detection and simultaneous identification of sepsis-causing bacteria in spiked blood culture.

Sung H Lim, Samantha Mix, Zeyu Xu, Brian Taba, Indre Budvytiene, Anders N Berliner, Nuria Queralto, Yair S Churi, Richard S Huang, Michael Eiden and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Evaluation of the RevealPathogens (Basel, Switzerland) · 2024
    Article
  4. Facile Preparation of TiOSensors (Basel, Switzerland) · 2024
    Article
  5. Review
  6. Review
  7. Paper-based sensors for bacteria detection.Nature reviews bioengineering · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Modern Tools for Rapid Diagnostics of Antimicrobial Resistance.Frontiers in cellular and infection microbiology · 2020
    Review
  18. Article
  19. Syndromic Panel-Based Testing in Clinical Microbiology.Clinical microbiology reviews · 2018
    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

13 authors.

Sung H LimSpecific Technologies, Mountain View, California, USA.
Samantha Mix
Zeyu Xu
Brian Taba
Indre Budvytiene
Anders N Berliner
Nuria Queralto
Yair S Churi
Richard S Huang
Michael Eiden
Raymond A Martino
Paul Rhodes
Niaz Banaei

Funding

Rapid Identification of Pathogenic Bacteria in Blood causing SepsisR44AI094781 · NIAID · ISENSE, LLC · PI MARTINO, RAY ANTHONY · 2013 to 2016
$2.6M
NIAID NIH HHS 2R44AI094781NIAID NIH HHS R44 AI094781
6 · The paper itself

Abstract

Sepsis is a medical emergency demanding early diagnosis and tailored antimicrobial therapy. Every hour of delay in initiating effective therapy measurably increases patient mortality. Blood culture is currently the reference standard for detecting bloodstream infection, a multistep process which may take one to several days. Here, we report a novel paradigm for earlier detection and the simultaneous identification of pathogens in spiked blood cultures by means of a metabolomic "fingerprint" of the volatile mixture outgassed by the organisms. The colorimetric sensor array provided significantly faster detection of positive blood cultures than a conventional blood culture system (12.1 h versus 14.9 h, P < 0.001) while allowing for the identification of 18 bacterial species with 91.9% overall accuracy within 2 h of growth detection. The colorimetric sensor array also allowed for discrimination between unrelated strains of methicillin-resistant Staphylococcus aureus, indicating that the metabolomic fingerprint has the potential to track nosocomial transmissions. Altogether, the colorimetric sensor array is a promising tool that offers a new paradigm for diagnosing bloodstream infections.

Indexed as

BacteriaBacteriological TechniquesBiosensing TechniquesBloodBlood Chemical AnalysisColorimetryHumansMetabolomicsSepsisTime

Identifiers

PMID24478493
PMCPMC3911346

What OpenQuestion holds

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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.