Evidence map›Paper›PMID 21074208›Full record

Trial reportThe Journal of urology2011

A biosensor platform for rapid antimicrobial susceptibility testing directly from clinical samples.

Kathleen E Mach, Ruchika Mohan, Ellen Jo Baron, Mei-Chiung Shih, Vincent Gau, Pak Kin Wong, Joseph C Liao

Abstract readClinical Trial
In one paragraph

Trial report in The Journal of urology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
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  7. Microfluidic Systems for Antimicrobial Susceptibility Testing.Advances in biochemical engineering/biotechnology · 2022
    Article
  8. Article
  9. Review
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  11. Article
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  14. Article
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  17. Article
  18. Modern Tools for Rapid Diagnostics of Antimicrobial Resistance.Frontiers in cellular and infection microbiology · 2020
    Review
  19. Adaptable microfluidic system for single-cell pathogen classification and antimicrobial susceptibility testing.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  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

7 authors.

Kathleen E MachDepartment of Urology, Stanford University School of Medicine, Stanford, California, USA.
Ruchika Mohan
Ellen Jo Baron
Mei-Chiung Shih
Vincent Gau
Pak Kin Wong
Joseph C Liao

Funding

An Integrated Diagnostic Biochip for Point of Care Pathogen IdentificationU01AI082457 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI LIAO, JOSEPH C · 2009 to 2013
$3.7M
An Integrated Diagnostic System for Rapid Antimicrobial Susceptibility TestingR44AI088756 · NIAID · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2012 to 2014
$3.0M
Rapid Antimicrobial Susceptibility Test Cartridge for Resource-Limited SettingsR43AI088756 · NIAID · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2010 to 2011
$700k
NIAID NIH HHS R43 AI088756NIAID NIH HHS R44 AI088756NIAID NIH HHS U01 AI082457
6 · The paper itself

Abstract

purposeA significant barrier to efficient antibiotic management of infection is that the standard diagnostic methodologies do not provide results at the point of care. The delays between sample collection and bacterial culture and antibiotic susceptibility reporting have led to empirical use of antibiotics, contributing to the emergence of drug resistant pathogens. As a key step toward the development of a point of care device for determining the antibiotic susceptibility of urinary tract pathogens, we report on a biosensor based antimicrobial susceptibility test. MATERIALS AND

methodsFor assay development bacteria were cultured with or without antibiotics, and growth was quantitated by determining viable counts and electrochemical biosensor measurement of bacterial 16S rRNA. To determine antibiotic susceptibility directly from patient samples, urine was cultured on antibiotic plates for 2.5 hours and growth was determined by electrochemical measurement of bacterial 16S rRNA. For assay validation 252 urine samples were collected from patients at the Spinal Cord Injury Service at Veterans Affairs Palo Alto Health Care System. The biosensor based antimicrobial susceptibility test was completed for samples containing gram-negative organisms. Pathogen identification and antibiotic susceptibility results were compared between our assay and standard microbiological analysis.

resultsA direct biosensor quantitation of bacterial 16S rRNA can be used to monitor bacterial growth for a biosensor based antimicrobial susceptibility test. Clinical validation of a biosensor based antimicrobial susceptibility test with patient urine samples demonstrated that this test was 94% accurate in 368 pathogen-antibiotic tests compared to standard microbiological analysis.

conclusionsThis biosensor based antimicrobial susceptibility test, in concert with our previously described pathogen identification assay, can provide culture and susceptibility information directly from a urine sample within 3.5 hours.

Indexed as

Biosensing TechniquesBacteriaHumansMicrobial Sensitivity TestsTime FactorsUrinary Tract Infections

Identifiers

PMID21074208
PMCPMC4051414

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.