Evidence map›Paper›PMID 34063654›Full record

ReviewJournal of clinical medicine2021

SARS-CoV-2-Morphology, Transmission and Diagnosis during Pandemic, Review with Element of Meta-Analysis.

Katarzyna Grudlewska-Buda, Natalia Wiktorczyk-Kapischke, Ewa Wałecka-Zacharska, Joanna Kwiecińska-Piróg, Katarzyna Buszko, Kamil Leis, Klaudia Juszczuk, Eugenia Gospodarek-Komkowska, Krzysztof Skowron

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. SARS-CoV-2 in brief: from virus to prevention.Osong public health and research perspectives · 2022
    Article
  8. Article
  9. Article
  10. Review
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

9 authors at 2 institutions in 1 country.

Katarzyna Grudlewska-BudaDepartment of Microbiology, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-094 Bydgoszcz, Poland.
Natalia Wiktorczyk-KapischkeDepartment of Microbiology, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-094 Bydgoszcz, Poland.ORCID 0000-0003-1885-9182
Ewa Wałecka-ZacharskaDepartment of Food Hygiene and Consumer Health, Wrocław University of Environmental and Life Sciences, 50-375 Wrocław, Poland.ORCID 0000-0002-1840-9731
Joanna Kwiecińska-PirógDepartment of Microbiology, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-094 Bydgoszcz, Poland.
Katarzyna BuszkoDepartment of Theoretical Foundations of Biomedical Science and Medical Informatics, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-067 Bydgoszcz, Poland.ORCID 0000-0003-0388-3446
Kamil LeisFaculty of Medicile, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-067 Bydgoszcz, Poland.
Klaudia JuszczukClinic of General, Colorectal and Oncological Surgery, Dr. Jana Biziel University Hospital, No. 2 in Bydgoszcz, 75 Ujejskiego St., 85-168 Bydgoszcz, Poland.
Eugenia Gospodarek-KomkowskaDepartment of Microbiology, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-094 Bydgoszcz, Poland.
Krzysztof SkowronDepartment of Microbiology, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University in Toruń, 87-094 Bydgoszcz, Poland.ORCID 0000-0003-0868-864X
Nicolaus Copernicus University · PLWrocław University of Environmental and Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2). Thus far, the virus has killed over 2,782,112 people and infected over 126,842,694 in the world (state 27 March 2021), resulting in a pandemic for humans. Based on the present data, SARS-CoV-2 transmission from animals to humans cannot be excluded. If mutations allowing breaking of the species barrier and enhancing transmissibility occurred, next changes in the SARS-CoV-2 genome, leading to easier spreading and greater pathogenicity, could happen. The environment and saliva might play an important role in virus transmission. Therefore, there is a need for strict regimes in terms of personal hygiene, including hand washing and surface disinfection. The presence of viral RNA is not an equivalent of active viral infection. The positive result of the RT-PCR method may represent either viral residues or infectious virus particles. RNA-based tests should not be used in patients after the decline of disease symptoms to confirm convalescence. It has been proposed to use the test based on viral, sub-genomic mRNA, or serological methods to find the immune response to infection. Vertical transmission of SARS-CoV-2 is still a little-known issue. In our review, we have prepared a meta-analysis of the transmission of SARS-CoV-2 from mother to child depending on the type of delivery. Our study indicated that the transmission of the virus from mother to child is rare, and the infection rate is not higher in the case of natural childbirth, breastfeeding, or contact with the mother. We hope that this review and meta-analysis will help to systemize knowledge about SARS-CoV-2 with an emphasis on diagnostic implications and transmission routes, in particular, mother-to-child transmission.

Indexed as

childbirthCOVID-19laboratory diagnosispandemicSARS-CoV-2transmission route

Identifiers

PMID34063654
PMCPMC8125301
OpenAlexW3158950690

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.