Evidence map›Paper›PMID 28222780›Full record

ReviewVeterinary research2017

Advanced biosensors for detection of pathogens related to livestock and poultry.

Jasmina Vidic, Marisa Manzano, Chung-Ming Chang, Nicole Jaffrezic-Renault

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Veterinary research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
18.9field-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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 234 citations in OpenAlex.

  1. Pooled it
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  13. Nanonbiosensors; Rapid Detection ofArchives of Razi Institute · 2025
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13 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 4 institutions in 3 countries.

Jasmina VidicVirologie et Immunologie Moléculaires, UR892, INRA, Paris Saclay University, 78350, Jouy-en-Josas, France. jasmina.vidic@inra.fr.
Marisa ManzanoDipartimento di Scienze AgroAlimentari, Ambientali e Animali, Università di Udine, 33100, Udine, Italy.
Chung-Ming ChangDepartment of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Tao-Yuan, 33302, Taiwan.
Nicole Jaffrezic-RenaultInstitute of Analytical Sciences, UMR CNRS 5280, University of Lyon, 69100, Villeurbanne, France.
Centre National de la Recherche Scientifique · FRChang Gung University · TWUniversity of Udine · ITVirologie et Immunologie Moléculaires · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious animal diseases caused by pathogenic microorganisms such as bacteria and viruses threaten the health and well-being of wildlife, livestock, and human populations, limit productivity and increase significantly economic losses to each sector. The pathogen detection is an important step for the diagnostics, successful treatment of animal infection diseases and control management in farms and field conditions. Current techniques employed to diagnose pathogens in livestock and poultry include classical plate-based methods and conventional biochemical methods as enzyme-linked immunosorbent assays (ELISA). These methods are time-consuming and frequently incapable to distinguish between low and highly pathogenic strains. Molecular techniques such as polymerase chain reaction (PCR) and real time PCR (RT-PCR) have also been proposed to be used to diagnose and identify relevant infectious disease in animals. However these DNA-based methodologies need isolated genetic materials and sophisticated instruments, being not suitable for in field analysis. Consequently, there is strong interest for developing new swift point-of-care biosensing systems for early detection of animal diseases with high sensitivity and specificity. In this review, we provide an overview of the innovative biosensing systems that can be applied for livestock pathogen detection. Different sensing strategies based on DNA receptors, glycan, aptamers and antibodies are presented. Besides devices still at development level some are validated according to standards of the World Organization for Animal Health and are commercially available. Especially, paper-based platforms proposed as an affordable, rapid and easy to perform sensing systems for implementation in field condition are included in this review.

Indexed as

AnimalsBiosensing TechniquesBluetongueBovine Respiratory Disease ComplexCampylobacter InfectionsCattleChickensClostridium InfectionsCoccidiosisEscherichia coli InfectionsFemaleFoot-and-Mouth DiseaseInfluenza in BirdsLivestockMastitis, BovineMycoplasma Infections

Identifiers

PMID28222780
PMCPMC5320782
OpenAlexW2590156219

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.