Evidence map›Paper›PMID 32840560›Full record

ReviewPathogens and disease2020

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a newly emerged pathogen: an overview.

Jitendra Singh Rathore, Chaitali Ghosh

Open access · bronzeAbstract readReview
In one paragraph

Review in Pathogens and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 26 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

2 authors at 2 institutions in 1 country.

Jitendra Singh RathoreSchool of Biotechnology, Gautam Buddha University, Yamuna Expressway, Greater Noida, Uttar Pradesh 210312, India.
Chaitali GhoshDepartment of Zoology, Gargi College, University of Delhi, New Delhi, Delhi 110049 India.
Gautam Buddha University · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a viral pneumonia, responsible for the recent pandemic, and originated from Wuhan, China, in December 2019. The causative agent of the outbreak was identified as coronavirus and designated as severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2). Few years back, the severe acute respiratory syndrome coronavirus (SARS- CoV) and the Middle East respiratory syndrome coronavirus (MERS-CoV) were reported to be highly pathogenic and caused severe infections in humans. In the current situation SARS-CoV-2 has become the third highly pathogenic coronavirus that is responsible for the present outbreak in human population. At the time of this review, there were more than 14 007 791 confirmed COVID-19 patients which associated with over 597 105 deaths in more then 216 countries across the globe (as reported by World Health Organization). In this review we have discussed about SARS-CoV, MERS-CoV and SARC-CoV-2, their reservoirs, role of spike proteins and immunogenicity. We have also covered the diagnosis, therapeutics and vaccine status of SARS-CoV-2.

Indexed as

Angiotensin-Converting Enzyme 2AnimalsAntiviral AgentsBetacoronavirusCoronavirus InfectionsCOVID-19Disease ReservoirsHumansMiddle East Respiratory Syndrome CoronavirusPandemicsPeptidyl-Dipeptidase APneumonia, ViralSARS-CoV-2Severe Acute Respiratory SyndromeSpike Glycoprotein, CoronavirusZoonosesACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID 19MERS-CoVSARS-CoVSARS-CoV-2spike protein and therapeutics

Identifiers

PMID32840560
PMCPMC7499575
OpenAlexW3080853139

What OpenQuestion holds

Textmetadata
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.