Evidence map›Paper›PMID 38500634›Full record

ArticleInternational journal of microbiology2024

Development and Optimization of a Multiplex Real-Time RT-PCR to Detect SARS-CoV-2 in Human Samples.

Camilo Castellar-Mendoza, María-Angélica Calderón-Peláez, Jaime E Castellanos, Myriam L Velandia-Romero, Carolina Coronel-Ruiz, Sigrid Camacho-Ortega, Lilia J Bernal-Cepeda, Lady López-Ibarra, Jhann A Arturo, Félix G Delgado and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 6 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

17 authors at 1 institution in 1 country.

Camilo Castellar-Mendoza *Virology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0003-2811-0626
María-Angélica Calderón-Peláez *Virology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0003-0788-0795
Jaime E CastellanosVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0003-1596-8383
Myriam L Velandia-RomeroVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-3340-7304
Carolina Coronel-RuizVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0003-2202-5682
Sigrid Camacho-OrtegaVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-3145-4748
Lilia J Bernal-CepedaVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-2889-5497
Lady López-IbarraVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-3595-1602
Jhann A ArturoVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-4337-8287
Félix G DelgadoVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-1734-6855
Hernando Gutierrez-BarbosaVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0003-2767-6134
Sonia Bohorquez-AvilaVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-2113-3959
Johanna MadroñeroVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-0886-4677
Zayda L Corredor-RozoUniversidad El Bosque, Bogotá, Colombia.ORCID https://orcid.org/0000-0002-6373-2343
Sandra J Perdomo-LaraUniversidad El Bosque, Bogotá, Colombia.ORCID https://orcid.org/0000-0002-4429-3760
Angela Fonseca-BenitezUniversidad El Bosque, Bogotá, Colombia.ORCID https://orcid.org/0000-0002-4471-4115
Eliana CalvoVirology Group, Universidad El Bosque, Bogotá 110121, Colombia.ORCID https://orcid.org/0000-0002-9135-0748
Universidad El Bosque · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PCR and its variants (RT-PCR and qRT-PCR) are valuable and innovative molecular techniques for studying nucleic acids. qPCR has proven to be highly sensitive, efficient, and reproducible, generating reliable results that are easy to analyze. During the COVID-19 pandemic, qPCR became the gold standard technique for detecting the SARS-CoV-2 virus that allowed to confirm the infection event, and those asymptomatic ones, and thus save millions of lives. In-house multiplex qPCR tests were developed worldwide to detect different viral targets and ensure results, follow the infections, and favor the containment of a pandemic. Here, we present the detailed fundamentals of the qPCR technique based on fluorogenic probes and processes to develop and optimize a successful multiplex RT-qPCR test for detecting SARS-CoV-2 that could be used to diagnose COVID-19 accurately.

Identifiers

PMID38500634
PMCPMC10948217
OpenAlexW4392725837

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.