Evidence map›Paper›PMID 32420674›Full record

SynthesisReviews in medical virology2020

Three months of COVID-19: A systematic review and meta-analysis.

Danish Rafiq, Asiya Batool, M A Bazaz

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Reviews in medical virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Immunoglobulin (Ig)A seropositivity against SARS-CoV-2 in healthcare workers in Israel, 4 April to 13 July 2020: an observational study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2021
    Observational
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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

3 authors.

Danish RafiqDepartment of Electrical Engineering, National Institute of Technology, Srinagar, India.ORCID https://orcid.org/0000-0002-9232-4875
Asiya BatoolCSIR-Indian Institute of Integrative Medicine (IIIM), Srinagar, India.
M A BazazDepartment of Electrical Engineering, National Institute of Technology, Srinagar, India.

Funding

Department of Biotechnology, Ministry of Science and TechnologyMinistry of Human Resource Development, India
6 · The paper itself

Abstract

The pandemic of 2019 novel coronavirus (SARS-CoV-2019), reminiscent of the 2002-SARS-CoV outbreak, has completely isolated countries, disrupted health systems and partially paralyzed international trade and travel. In order to be better equipped to anticipate transmission of this virus to new regions, it is imperative to track the progress of the virus over time. This review analyses information on progression of the pandemic in the past 3 months and systematically discusses the characteristics of SARS-CoV-2019 virus including its epidemiologic, pathophysiologic, and clinical manifestations. Furthermore, the review also encompasses some recently proposed conceptual models that estimate the spread of this disease based on the basic reproductive number for better prevention and control procedures. Finally, we shed light on how the virus has endangered the global economy, impacting it both from the supply and demand side.

Indexed as

BetacoronavirusCoronavirus InfectionsPandemicsPneumonia, ViralAdaptive ImmunityAntiviral AgentsBasic Reproduction NumberClinical Laboratory TechniquesCommerceCOVID-19COVID-19 Drug TreatmentCOVID-19 TestingEconomicsGenome, ViralHumansModels, TheoreticalAntiviral AgentsACE-2COVID-19mathematical modelingpandemicSARS-CoV

Identifiers

PMID32420674
PMCPMC7267122

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.