Evidence map›Paper›PMID 19837423›Full record

ArticleThe Journal of urology2009

Multiplex pathogen identification for polymicrobial urinary tract infections using biosensor technology: a prospective clinical study.

Kathleen E Mach, Christine B Du, Hardeep Phull, David A Haake, Mei-Chiung Shih, Ellen Jo Baron, Joseph C Liao

Registry-linked trialAbstract read
In one paragraph

Article in The Journal of urology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00591240 (A Biochip for Rapid Diagnosis of Complicated Urinary Tract Infection), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 7% 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.

NCT00591240 completednot on this map

A Biochip for Rapid Diagnosis of Complicated Urinary Tract Infection

TypeobservationalSponsorVA Office of Research and DevelopmentRan2007 to 2011Enrolled338ConditionsUrinary Tract Infections, Bladder, Neurogenic
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 54 citations in OpenAlex.

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  11. Better tests, better care: improved diagnostics for infectious diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2013
    Review
  12. Article
  13. Recent advances in molecular medicine techniques for the diagnosis, prevention, and control of infectious diseases.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2013
    Review
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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 at 2 institutions in 1 country.

Kathleen E MachDepartment of Urology, Stanford University School of Medicine, Stanford, California 94305-5118, USA.
Christine B Du
Hardeep Phull
David A Haake
Mei-Chiung Shih
Ellen Jo Baron
Joseph C Liao
VA Greater Los Angeles Healthcare System · USUniversity of California, Los Angeles · US

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
Sensor Technology for Rapid Microbial Identification and Susceptibility TestingU01AI075565 · NIAID · BRENTWOOD BIOMEDICAL RESEARCH INSTITUTE · PI HAAKE, DAVID A · 2007 to 2011
$3.3M
NIAID NIH HHS AI075565NIAID NIH HHS U01 AI075565NIAID NIH HHS U01 AI082457
6 · The paper itself

Abstract

purposeRapid diagnosis of urinary tract infection would have a significant beneficial impact on clinical management, particularly in patients with structural or functional urinary tract abnormalities who are highly susceptible to recurrent polymicrobial infections. We examined the analytical validity of an electrochemical biosensor array for rapid molecular diagnosis of urinary tract infection in a prospective clinical study in patients with neurogenic bladder. MATERIALS AND

methodsThe electrochemical biosensor array was functionalized with DNA probes against 16S rRNA of the most common uropathogens. Spinal cord injured patients at a Veterans Affairs hospital were recruited into the study. Urine samples were generally tested on the biosensor within 1 to 2 hours of collection. Biosensor results were compared with those obtained using standard clinical microbiology laboratory methods.

resultsWe successfully developed a 1-hour biosensor assay for multiplex identification of pathogens. From July 2007 to December 2008 we recruited 116 patients, yielding a total of 109 urine samples suitable for analysis and comparison between biosensor assay and standard urine culture. Of the samples 74% were positive, of which 42% were polymicrobial. We identified 20 organisms, of which Escherichia coli, Pseudomonas aeruginosa and Enterococcus species were the most common. Biosensor assay specificity and positive predictive value were 100%. Pathogen detection sensitivity was 89%, yielding a 76% negative predictive value.

conclusionsTo our knowledge we report the first prospective clinical study to successfully identify pathogens within a point of care time frame using an electrochemical biosensor platform. Additional efforts to improve the limit of detection and probe design are needed to further enhance assay sensitivity.

Indexed as

Biosensing TechniquesFemaleHumansMaleProspective StudiesUrinary Bladder, NeurogenicUrinary Tract Infections

Identifiers

PMID19837423
PMCPMC4035241
OpenAlexW2009318585

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

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.