Evidence map›Paper›PMID 32634438›Full record

ReviewEuropean journal of pharmacology2020

Update on therapeutic approaches and emerging therapies for SARS-CoV-2 virus.

Calvin A Omolo, Nikki Soni, Victoria Oluwaseun Fasiku, Irene Mackraj, Thirumala Govender

Abstract readReview
In one paragraph

Review in European journal of pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
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  7. Review
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  9. Review
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  11. Review
  12. Article
  13. Brazilian dental students and COVID-19: A survey on knowledge and perceptions.European journal of dental education : official journal of the Association for Dental Education in Europe · 2022
    Article
  14. Article
  15. Article
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  17. Review
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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

5 authors.

Calvin A OmoloUnited States International University-Africa, School of Pharmacy and Health Sciences, Department of Pharmaceutics, P. O. Box 14634-00800, Nairobi, Kenya; Discipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban, South Africa. Electronic address: comolo@usiu.ac.ke.
Nikki SoniUnited States International University-Africa, School of Pharmacy and Health Sciences, Department of Pharmaceutics, P. O. Box 14634-00800, Nairobi, Kenya.
Victoria Oluwaseun FasikuDiscipline of Pharmaceutical Sciences, College of Health Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban, South Africa.
Irene MackrajSchool of Laboratory Medicine and Medical Sciences, College of Health Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban, South Africa.
Thirumala GovenderUnited States International University-Africa, School of Pharmacy and Health Sciences, Department of Pharmaceutics, P. O. Box 14634-00800, Nairobi, Kenya. Electronic address: govenderth@ukzn.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global pandemic of coronavirus disease 2019 (COVID-19), caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in over 7,273,958 cases with almost over 413,372 deaths worldwide as per the WHO situational report 143 on COVID-19. There are no known treatment regimens with proven efficacy and vaccines thus far, posing an unprecedented challenge to identify effective drugs and vaccines for prevention and treatment. The urgency for its prevention and cure has resulted in an increased number of proposed treatment options. The high rate and volume of emerging clinical trials on therapies for COVID-19 need to be compared and evaluated to provide scientific evidence for effective medical options. Other emerging non-conventional drug discovery techniques such as bioinformatics and cheminformatics, structure-based drug design, network-based methods for prediction of drug-target interactions, artificial intelligence (AI) and machine learning (ML) and phage technique could provide alternative routes to discovering potent Anti-SARS-CoV2 drugs. While drugs are being repurposed and discovered for COVID-19, novel drug delivery systems will be paramount for efficient delivery and avoidance of possible drug resistance. This review describes the proposed drug targets for therapy, and outcomes of clinical trials that have been reported. It also identifies the adopted treatment modalities that are showing promise, and those that have failed as drug candidates. It further highlights various emerging therapies and future strategies for the treatment of COVID-19 and delivery of Anti-SARS-CoV2 drugs.

Indexed as

Coronavirus InfectionsPandemicsPneumonia, ViralAntiviral AgentsBetacoronavirusCOVID-19Drug DevelopmentDrug DiscoveryHumansSARS-CoV-2Antiviral AgentsClinical trialsCOVID-19Drug targetsRe-purposingSARS-CoV2Vaccines

Identifiers

PMID32634438
PMCPMC7334944

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.