Evidence map›Paper›PMID 24524681›Full record

ReviewExpert review of molecular diagnostics2014

Advances and challenges in biosensor-based diagnosis of infectious diseases.

Mandy L Y Sin, Kathleen E Mach, Pak Kin Wong, Joseph C Liao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Expert review of molecular diagnostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed
15.5field-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

124 citing papers in PubMed, 420 citations in OpenAlex.

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  9. Current and emerging approaches to manage chronic inflammatory gut disorders.Frontiers in cellular and infection microbiology · 2026
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64 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Mandy L Y SinDepartment of Urology, Stanford University School of Medicine , Stanford, CA 94305-5118 , USA.
Kathleen E Mach
Pak Kin Wong
Joseph C Liao
VA Palo Alto Health Care System · USStanford University · USUniversity of Arizona · 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
NIAID NIH HHS U01 AI082457
6 · The paper itself

Abstract

Rapid diagnosis of infectious diseases and timely initiation of appropriate treatment are critical determinants that promote optimal clinical outcomes and general public health. Conventional in vitro diagnostics for infectious diseases are time-consuming and require centralized laboratories, experienced personnel and bulky equipment. Recent advances in biosensor technologies have potential to deliver point-of-care diagnostics that match or surpass conventional standards in regards to time, accuracy and cost. Broadly classified as either label-free or labeled, modern biosensors exploit micro- and nanofabrication technologies and diverse sensing strategies including optical, electrical and mechanical transducers. Despite clinical need, translation of biosensors from research laboratories to clinical applications has remained limited to a few notable examples, such as the glucose sensor. Challenges to be overcome include sample preparation, matrix effects and system integration. We review the advances of biosensors for infectious disease diagnostics and discuss the critical challenges that need to be overcome in order to implement integrated diagnostic biosensors in real world settings.

Indexed as

Biosensing TechniquesCommunicable DiseasesEquipment DesignHumansKineticsMagneticsMetal NanoparticlesMicrobial Sensitivity TestsMicrofluidicsPoint-of-Care SystemsReproducibility of ResultsTransducers

Identifiers

PMID24524681
PMCPMC4104499
OpenAlexW2035687217

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.