Evidence map›Paper›PMID 27226118›Full record

ArticleSLAS technology2017

A Multiplex Electrochemical Biosensor for Bloodstream Infection Diagnosis.

Jian Gao, Lindsie Jeffries, Kathleen E Mach, David W Craft, Neal J Thomas, Vincent Gau, Joseph C Liao, Pak Kin Wong

Open access · bronzeAbstract read
In one paragraph

Article in SLAS technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

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  16. Antifouling (Bio)materials for Electrochemical (Bio)sensing.International journal of molecular sciences · 2019
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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

8 authors at 5 institutions in 1 country.

Jian Gao1 Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
Lindsie Jeffries2 Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA.
Kathleen E Mach3 Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
David W Craft4 Pathology and Laboratory Medicine, Penn State Milton S. Hershey Medical Center, Hershey, PA, USA.
Neal J Thomas5 Departments of Pediatrics and Public Health Sciences, Penn State University College of Medicine, Hershey, PA, USA.
Vincent Gau6 GeneFluidics, Inc., Irwindale, CA, USA.
Joseph C Liao3 Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Pak Kin Wong1 Department of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.
Penn State Milton S. Hershey Medical Center · USStanford University · USGeneFluidics (United States) · USPennsylvania State University · USUniversity of Arizona · US

Funding

Safe and Effective Whole Blood ID/AST Device for Use in Neonatal ICU SettingsR44HD084033 · NICHD · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2015 to 2021
$4.6M
A fully integrated CentriFluidic system for direct bloodstream infection PID/ASTR01AI117059 · NIAID · GENEFLUIDICS, INC. · PI GAU, VINCENT JEN-JR · 2015 to 2019
$3.6M
NIAID NIH HHS R01 AI117059NICHD NIH HHS R44 HD084033
6 · The paper itself

Abstract

Accurate and timely detection of bacterial pathogens will improve the clinical management of infections. Herein, we demonstrate an electrochemical biosensor that directly detects bacteria in human blood samples, resulting in the rapid diagnosis of a bloodstream infection. The multiplex biosensor detects the species-specific sequences of the 16S ribosomal RNA of bacteria for pathogen identification in physiological samples without preamplification. The analytical performance characteristics of the biosensor, including the limit of detection and probe cross-reactivity, are evaluated systematically. The feasibility of the biosensor for a diagnosis of a bloodstream infection is demonstrated by identifying bacterial clinical isolates spiked in whole blood and blood culture samples that were tested positive for bacteria. The electrochemical biosensor correctly identifies all the species in the samples with 100% concordance to microbiological analysis.

Indexed as

BacteremiaBacteriaBiosensing TechniquesBloodDNA, BacterialDNA, RibosomalElectrochemical TechniquesHumansRNA, Ribosomal, 16SDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SbiosensorblooddiagnosticsinfectionRNA

Identifiers

PMID27226118
PMCPMC5247356
OpenAlexW2399780143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.