Evidence map›Paper›PMID 33199970›Full record

ReviewSaudi journal of biological sciences2021

Genetic analysis of the 2019 coronavirus pandemic with from real-time reverse transcriptase polymerase chain reaction.

Abdullah Farasani

Open access · hybridAbstract readReview
In one paragraph

Review in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Coronavirus Anatomy and Its Analytical Approaches for Targeting COVID-19.Advances in experimental medicine and biology · 2024
    Review
  4. Article
  5. Review
  6. Article
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

1 author at 1 institution in 1 country.

Abdullah FarasaniBiomedical Research Unit, Medical Research Center, College of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia.
Jazan University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corona viruses (CoV) are known to cause extreme pandemics in the globe. The year 2020 will be a pandemic with the spread of the novel coronavirus (SARS-CoV-2) across the globe. Coronavirus 2019 (COVID-19) has been a part of our scary life for more than a quarter of a year in 2020. The Wuhan market and China have been the most commonly used terms in the world for at least a quarter of 2020. A zoonotic coronavirus has entered organisms to affect organisms for the third season in several centuries. CoV is a global pandemic prompted a drastic and rapid reconfiguration of society. CoV have extraordinary broad genomes of about 30 kilobases of RNA. There is no genetic relationship between the SARS-CoV, MERS and SARS-CoV-2. For health care strategies and for anticipating and preventing potential outbreaks, adequate description of the international spread of COVID-19 virus is imperative. The WHO has declared COVID-19 as endemic to pandemic in the first trimester of 2020. The biggest issues for diagnosis COVID-19 is not established apart from Real-time reverse transcriptase polymerase chain reaction (RT-PCR). In order to monitor the COVID-19 pandemic, testing of active SARS-CoV-2 infections is a fundamental public health method. The vast use of SARS-CoV-2 RT-PCR tests around the world has led to increased availability of test kits, which is also a major bottleneck. The technique RT-PCR was generally agreed in the present scenario to detect SARS-CoV-2 in the human body. This review discusses about the importance of molecular technique for diagnosing the pandemic disease of 2019. In conclusion, RT-PCR was found to be an apt technique for identification of SARS-CoV-2.

Indexed as

CoronavirusCOVID-19Pandemic and from Real-time reverse transcriptase polymerase chain reactionSARS-CoV-2

Identifiers

PMID33199970
PMCPMC7658593
OpenAlexW3098140923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.