Evidence map›Paper›PMID 32952596›Full record

ArticleNano today2020

Nanoceria as a possible agent for the management of COVID-19.

Prince Allawadhi, Amit Khurana, Sachin Allwadhi, Kamaldeep Joshi, Gopinath Packirisamy, Kala Kumar Bharani

Abstract read
In one paragraph

Article in Nano today, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–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

36 citing papers in PubMed.

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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

6 authors.

Prince AllawadhiDepartment of Biotechnology, Indian Institute of Technology (IIT), Roorkee, Uttarakhand, 247667, India.
Amit KhuranaDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary Science (CVSc), PVNRTVU, Rajendranagar, Hyderabad, Telangana, 500030, India.
Sachin AllwadhiDepartment of Computer Science and Engineering, University Institute of Engineering and Technology (UIET), Maharshi Dayanand University (MDU), Rohtak, Haryana, 124001, India.
Kamaldeep JoshiDepartment of Computer Science and Engineering, University Institute of Engineering and Technology (UIET), Maharshi Dayanand University (MDU), Rohtak, Haryana, 124001, India.
Gopinath PackirisamyDepartment of Biotechnology, Indian Institute of Technology (IIT), Roorkee, Uttarakhand, 247667, India.
Kala Kumar BharaniDepartment of Veterinary Pharmacology and Toxicology, College of Veterinary Science (CVSc), PVNRTVU, Rajendranagar, Hyderabad, Telangana, 500030, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has emerged as an unprecedented global healthcare emergency and has devastated the global economy. The SARS-CoV-2 virus replicates in the host cells and is seemingly much more virulent compared to other flu viruses, as well as the SARS-CoV-1. The respiratory complications of the disease include acute respiratory distress syndrome (ARDS), cytokine storm, systemic inflammation, and pulmonary fibrosis. Nanoceria (NC) is a versatile rare earth nanoparticle with remarkable catalase and superoxide dismutase mimetic redox regenerative properties. Interestingly, NC possesses promising anti-inflammatory, antioxidant and anti-fibrotic properties, making it an attractive tool to fight against the SARS-CoV-2 as well as the associated systemic complications. Until now, there is no clinically approved vaccine or drug for the treatment of COVID-19, and the conquest to find a novel therapy for this global havoc is being undertaken at a warlike pace. Herein, based on preclinical evidence, we hypothesize that NC owing to its unique pharmacological properties, might be an attractive preclinical candidate to win the battle over COVID-19. Further, it may be used as a prevention or treatment strategy in combination with other drugs.

Indexed as

COVID-19Cytokine stormLung fibrosisNanoceriaSARS-CoV-2

Identifiers

PMID32952596
PMCPMC7492057

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.