Evidence map›Paper›PMID 33410425›Full record

ReviewJournal of biosciences2020

COVID-19: Advances in diagnostic tools, treatment strategies, and vaccine development.

M Sreepadmanabh, Amit Kumar Sahu, Ajit Chande

Abstract readReview
In one paragraph

Review in Journal of biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 2 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

52 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

M SreepadmanabhMolecular Virology Laboratory, Indian Institute of Science Education and Research, Bhopal, India.
Amit Kumar Sahu
Ajit Chande

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An unprecedented worldwide spread of the SARS-CoV-2 has imposed severe challenges on healthcare facilities and medical infrastructure. The global research community faces urgent calls for the development of rapid diagnostic tools, effective treatment protocols, and most importantly, vaccines against the pathogen. Pooling together expertise across broad domains to innovate effective solutions is the need of the hour. With these requirements in mind, in this review, we provide detailed critical accounts on the leading efforts at developing diagnostics tools, therapeutic agents, and vaccine candidates. Importantly, we furnish the reader with a multidisciplinary perspective on how conventional methods like serology and RT-PCR, as well as cutting-edge technologies like CRISPR/Cas and artificial intelligence/machine learning, are being employed to inform and guide such investigations. We expect this narrative to serve a broad audience of both active and aspiring researchers in the field of biomedical sciences and engineering and help inspire radical new approaches towards effective detection, treatment, and prevention of this global pandemic.

Indexed as

Antiviral AgentsArtificial IntelligenceCOVID-19COVID-19 Nucleic Acid TestingCOVID-19 SerotherapyCOVID-19 VaccinesCRISPR-Cas SystemsDisease ManagementDrug DiscoveryDrug RepositioningHumansImmunization, PassiveMolecular Diagnostic TechniquesMolecular Docking SimulationNucleic Acid Amplification TechniquesPandemicsAntiviral AgentsCOVID-19 Vaccines

Identifiers

PMID33410425
PMCPMC7683586

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.