Evidence map›Paper›PMID 35737324›Full record

ArticleVeterinary sciences2022

Development of Nested PCR for SARS-CoV-2 Detection and Its Application for Diagnosis of Active Infection in Cats.

Ivo Sirakov, Ralitsa Popova-Ilinkina, Dobrinka Ivanova, Nikolina Rusenova, Hristiyan Mladenov, Kalina Mihova, Ivan Mitov

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 10 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

7 authors at 2 institutions in 1 country.

Ivo SirakovDepartment of Medical Microbiology, Medical Faculty, Medical University, 1431 Sofia, Bulgaria.ORCID 0000-0002-4765-3231
Ralitsa Popova-IlinkinaGenLab Ltd., 8000 Burgas, Bulgaria.
Dobrinka IvanovaDepartment of Medical Microbiology, Medical Faculty, Medical University, 1431 Sofia, Bulgaria.
Nikolina RusenovaDepartment of Veterinary Microbiology, Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, Trakia University, 6000 Stara Zagora, Bulgaria.ORCID 0000-0001-8023-2685
Hristiyan MladenovDiagnostic Consulting Center 14, 1408 Sofia, Bulgaria.
Kalina MihovaMolecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University, 1431 Sofia, Bulgaria.
Ivan MitovDepartment of Medical Microbiology, Medical Faculty, Medical University, 1431 Sofia, Bulgaria.
Medical University of Sofia · BGTrakia University · BG

Funding

Medical University of Sofia D-81/04.06.2021
6 · The paper itself

Abstract

SARS-CoV-2 emerged in 2019 and found diagnostic laboratories unprepared worldwide. To meet the need for timely and accurate virus detection, laboratories used rapid Ag tests and PCR kits based on costly multi-channel real-time techniques. This study aimed to develop a conventional nested PCR based on the SARS-CoV-2 N gene, validate it against some approved assays, and apply it to samples from six cats with respiratory symptoms obtained in early 2020 during the first COVID-19 wave in humans in Bulgaria. The nested PCR technique showed 100% sensitivity and specificity; it could detect extracted SARS-CoV-2 RNA at concentrations as low as 0.015 ng/μL. The results identified the six tested cat samples as positive. Sequence analysis performed in two of them confirmed this. The presented technique is reliable, easy to implement and inexpensive, and can be successful in strategies for the prevention and control of SARS-CoV-2 in humans, cats and other susceptible species.

Indexed as

catshumansnested PCRSARS-CoV-2validation

Identifiers

PMID35737324
PMCPMC9231004
OpenAlexW4281635393

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.