ReviewMolecules (Basel, Switzerland)2021
A Multidisciplinary Approach to Coronavirus Disease (COVID-19).
Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed.
- Advances in Virus Biorecognition and Detection Techniques for the Surveillance and Prevention of Infectious Diseases.Biosensors · 2025Review
- Predictors of 2-year mortality in geriatric patients hospitalized with COVID-19 in Türkiye: a retrospective cohort study.Biomarkers in medicine · 2024Article
- Stem cell therapy: a novel approach against emerging and re-emerging viral infections with special reference to SARS-CoV-2.Molecular biology reports · 2023Review
- Outcomes comparison between the first and the subsequent SARS-CoV-2 waves - a systematic review and meta-analysis.Multidisciplinary respiratory medicine · 2023Article
- From imbalance to impairment: the central role of reactive oxygen species in oxidative stress-induced disorders and therapeutic exploration.Frontiers in pharmacology · 2023Review
- Are Nutraceuticals Effective in COVID-19 and Post-COVID Prevention and Treatment?Foods (Basel, Switzerland) · 2022Review
- Microbiological screening tests for SARS-CoV-2 in the first hour since the hospital admission: A reliable tool for enhancing the safety of pediatric care.Frontiers in pediatrics · 2022Article
- mRNA-Based Nanomedicinal Products to Address Corneal Inflammation by Interleukin-10 Supplementation.Pharmaceutics · 2021Article
- Multidisciplinary Effort and Integrative Preparedness: A Lesson for the Foreseen Multivariate COVID-19 Pandemic Flare-Up.Journal of multidisciplinary healthcare · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since December 2019, humanity has faced an important global threat. Many studies have been published on the origin, structure, and mechanism of action of the SARS-CoV-2 virus and the treatment of its disease. The priority of scientists all over the world has been to direct their time to research this subject. In this review, we highlight chemical studies and therapeutic approaches to overcome COVID-19 with seven different sections. These sections are the structure and mechanism of action of SARS-CoV-2, immunotherapy and vaccine, computer-aided drug design, repurposing therapeutics for COVID-19, synthesis of new molecular structures against COVID-19, food safety/security and functional food components, and potential natural products against COVID-19. In this work, we aimed to screen all the newly synthesized compounds, repurposing chemicals covering antiviral, anti-inflammatory, antibacterial, antiparasitic, anticancer, antipsychotic, and antihistamine compounds against COVID-19. We also highlight computer-aided approaches to develop an anti-COVID-19 molecule. We explain that some phytochemicals and dietary supplements have been identified as antiviral bioproducts, which have almost been successfully tested against COVID-19. In addition, we present immunotherapy types, targets, immunotherapy and inflammation/mutations of the virus, immune response, and vaccine issues.
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Registered trials
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.