Evidence map›Paper›PMID 35157153›Full record

ReviewMikrochimica acta2022

A review on corona virus disease 2019 (COVID-19): current progress, clinical features and bioanalytical diagnostic methods.

Fariba Mollarasouli, Nader Zare-Shehneh, Mehrorang Ghaedi

Open access · bronzeAbstract readReview
In one paragraph

Review in Mikrochimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 42 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Fariba MollarasouliDepartment of Chemistry, Yasouj University, Yasouj, 75918-74831, Iran. f.mollarasouli@gmail.com.ORCID http://orcid.org/0000-0002-2214-8626
Nader Zare-ShehnehDepartment of Chemistry, Yasouj University, Yasouj, 75918-74831, Iran.
Mehrorang GhaediDepartment of Chemistry, Yasouj University, Yasouj, 75918-74831, Iran. m_ghaedi@yahoo.com.
Yasouj University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new epidemic of acute respiratory viral pneumonia was discovered in central China at the end of 2019. The disease was given the name coronavirus disease 2019 (COVID-19), and the virus that caused this disease was known as severe acute respiratory syndrome coronavirus (SARS-CoV-2). So far, diagnostic methods have been focused on (a) human antibody detection, (b) viral antigen detection and (c) viral gene detection, the latter using RT-PCR being the most accurate approach. In this paper, we present a summary of the COVID-19 pandemic, clinical features and epidemiology and pathogenesis. Also, we focus on the recent advances in bioanalytical diagnostic methods based on various techniques for SARS-CoV-2 sensing that have recently been published (2020-2021). Furthermore, we present the mechanisms, advantages and disadvantages of the most common biosensors for COVID-19 detection, which include optical, electrochemical and piezoelectric biosensors as well as wearable and smart nanobiosensors, immunosensors, aptasensors and genosensors.

Indexed as

COVID-19 TestingSARS-CoV-2AnimalsBiosensing TechniquesCOVID-19Electrochemical TechniquesHumansImmunoassayBioanalytical methodsBiosensorsCoronavirusesCOVID-19 pandemicDiagnosisSARS-CoV-2

Identifiers

PMID35157153
PMCPMC8852957
OpenAlexW4213169294

What Socratic holds

Textmetadata
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 Socratic graph.