Evidence map›Paper›PMID 35721247›Full record

ReviewWorld journal of methodology2022

Molecular and serology methods in the diagnosis of COVID-19: An overview.

Marcel Silva Luz, Ronaldo Teixeira da Silva Júnior, Gabriella Almeida Santos de Santana, Gabriela Santos Rodrigues, Henrique de Lima Crivellaro, Mariana Santos Calmon, Clara Faria Souza Mendes Dos Santos, Luis Guilherme de Oliveira Silva, Qesya Rodrigues Ferreira, Guilherme Rabelo Mota and 4 more

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

14 authors at 1 institution in 1 country.

Marcel Silva LuzInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Ronaldo Teixeira da Silva JúniorInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Gabriella Almeida Santos de SantanaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Gabriela Santos RodriguesInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Henrique de Lima CrivellaroInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Mariana Santos CalmonInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Clara Faria Souza Mendes Dos SantosInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Luis Guilherme de Oliveira SilvaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Qesya Rodrigues FerreiraInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Guilherme Rabelo MotaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Heloísa HeimInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Filipe Antônio França da SilvaInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Breno Bittencourt de BritoInstituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45002175, Bahia, Brazil.
Fabrício Freire de MeloInstituto Multidisciplinar em Saúde , Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil. freiremelo@yahoo.com.br.
Universidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) has become a pandemic, being a global health concern since December 2019 when the first cases were reported. Severe acute respiratory syndrome coronavirus 2, the COVID-19 causal agent, is a β-coronavirus that has on its surface the spike protein, which helps in its virulence and pathogenicity towards the host. Thus, effective and applicable diagnostic methods to this disease come as an important tool for the management of the patients. The use of the molecular technique PCR, which allows the detection of the viral RNA through nasopharyngeal swabs, is considered the gold standard test for the diagnosis of COVID-19. Moreover, serological methods, such as enzyme-linked immunosorbent assays and rapid tests, are able to detect severe acute respiratory syndrome coronavirus 2-specific immunoglobulin A, immunoglobulin M, and immunoglobulin G in positive patients, being important alternative techniques for the diagnostic establishment and epidemiological surveillance. On the other hand, reverse transcription loop-mediated isothermal amplification also proved to be a useful diagnostic method for the infection, mainly because it does not require a sophisticated laboratory apparatus and has similar specificity and sensitivity to PCR. Complementarily, imaging exams provide findings of typical pneumonia, such as the ground-glass opacity radiological pattern on chest computed tomography scanning, which along with laboratory tests assist in the diagnosis of COVID-19.

Indexed as

COVID-19DiagnosisMolecular biologyPandemicPolymerase chain reactionSerology

Identifiers

PMID35721247
PMCPMC9157626
OpenAlexW4280596106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.