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Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19
As COVID 19 continues to over burden the healthcare system globally, the scientists are relentlessly pursuing research and publishing copious data on relevant managements strategies for the infection. This short communication has attempted to simplify the available information on the subject in a ma...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Diabetes India. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119391/ https://www.ncbi.nlm.nih.gov/pubmed/34198106 http://dx.doi.org/10.1016/j.dsx.2021.05.010 |
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author | Bagaria, Vaibhav Vaishya, Raju |
author_facet | Bagaria, Vaibhav Vaishya, Raju |
author_sort | Bagaria, Vaibhav |
collection | PubMed |
description | As COVID 19 continues to over burden the healthcare system globally, the scientists are relentlessly pursuing research and publishing copious data on relevant managements strategies for the infection. This short communication has attempted to simplify the available information on the subject in a manner that is easy to understand and implement in clinical setting. COVID 19 is not a single disease but a spectrum and should be classified based on clinical, radiological and laboratory parameters. A simple yet powerful way is to classify COVID 19 as COVIN – COVID Infection but no disease; COVIRI – COVID infection with predominant respiratory symptoms; COVIDI - COVID infection leading to an abnormal immune response and COVID S- referring to the sequalae of an acute COVID Infection. A clinical subtype specific approach may result in easier communication between healthcare providers which in turn may improve patient outcomes by providing targeted therapy. |
format | Online Article Text |
id | pubmed-8119391 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Diabetes India. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81193912021-05-14 Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 Bagaria, Vaibhav Vaishya, Raju Diabetes Metab Syndr Original Article As COVID 19 continues to over burden the healthcare system globally, the scientists are relentlessly pursuing research and publishing copious data on relevant managements strategies for the infection. This short communication has attempted to simplify the available information on the subject in a manner that is easy to understand and implement in clinical setting. COVID 19 is not a single disease but a spectrum and should be classified based on clinical, radiological and laboratory parameters. A simple yet powerful way is to classify COVID 19 as COVIN – COVID Infection but no disease; COVIRI – COVID infection with predominant respiratory symptoms; COVIDI - COVID infection leading to an abnormal immune response and COVID S- referring to the sequalae of an acute COVID Infection. A clinical subtype specific approach may result in easier communication between healthcare providers which in turn may improve patient outcomes by providing targeted therapy. Diabetes India. Published by Elsevier Ltd. 2021 2021-05-14 /pmc/articles/PMC8119391/ /pubmed/34198106 http://dx.doi.org/10.1016/j.dsx.2021.05.010 Text en © 2021 Diabetes India. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Article Bagaria, Vaibhav Vaishya, Raju Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title | Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title_full | Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title_fullStr | Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title_full_unstemmed | Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title_short | Understanding the COVID 19 Conundrum and Decluttering the scientific literature on COVID 19 |
title_sort | understanding the covid 19 conundrum and decluttering the scientific literature on covid 19 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119391/ https://www.ncbi.nlm.nih.gov/pubmed/34198106 http://dx.doi.org/10.1016/j.dsx.2021.05.010 |
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