Evidence map›Paper›PMID 32016385›Full record

ReviewBioscience reports2020

Detection methods for influenza A H1N1 virus with special reference to biosensors: a review.

Ravina R, Anita Dalal, Hari Mohan, Minakshi Prasad, C S Pundir

Abstract readReview
In one paragraph

Review in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  13. Nanomaterials-based sensors for the detection of COVID-19: A review.Bioengineering & translational medicine · 2022
    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

5 authors.

Ravina RCentre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, Haryana 124001, India.
Anita DalalDCR University of Science and Technology, Murthal, Sonepat, Haryana 131039, India.
Hari MohanCentre for Medical Biotechnology, Maharshi Dayanand University, Rohtak, Haryana 124001, India.
Minakshi PrasadDepartment of Animal Biotechnology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125004, India.
C S PundirDepartment of Biochemistry, Maharshi Dayanand University, Rohtak, Haryana 124001, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

H1N1 (Swine flu) is caused by influenza A virus, which is a member of Orthomyxoviridae family. Transmission of H1N1 occurs from human to human through air or sometimes from pigs to humans. The influenza virus has different RNA segments, which can reassert to make new virus strain with the possibility to create an outbreak in unimmunized people. Gene reassortment is a process through which new strains are emerging in pigs, as it has specific receptors for both human influenza and avian influenza viruses. H1N1 binds specifically with an α-2,6 glycosidic bond, which is present in human respiratory tract cells as well as in pigs. Considering the fact of fast multiplication of viruses inside the living cells, rapid detection methods need an hour. Currently, WHO recommended methods for the detection of swine flu include real-time PCR in specific testing centres that take 3-4 h. More recently, a number of methods such as Antigen-Antibody or RT-LAMP and DNA biosensors have also been developed that are rapid and more sensitive. This review describes the various challenges in the diagnosis of H1N1, and merits and demerits of conventional vis-à-vis latest methods with special emphasis on biosensors.

Indexed as

Biosensing TechniquesDNA ReplicationDNA, ViralHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanPredictive Value of TestsReproducibility of ResultsViral LoadVirologyVirus ReplicationWorkflowDNA, ViralA (H1N1)DNA biosensorsOrthomyxoviridaeReal Time-PCRRT-LAMPSwine flu

Identifiers

PMID32016385
PMCPMC7000365

What OpenQuestion holds

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LicenceCC BY
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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.