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suck abstract from ncbi


10.2174/0929867327666201026145630

http://scihub22266oqcxt.onion/10.2174/0929867327666201026145630
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33106134!?!33106134

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suck abstract from ncbi

pmid33106134      Curr+Med+Chem 2021 ; 28 (16): 3147-3157
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  • Evidence and the Main Adverse Effects Regarding Drug Therapies in the War Against COVID-19 #MMPMID33106134
  • Mora-Ramirez M; Melgoza-Hernandez P; Toledo-Ramirez SE; Arangure JMM
  • Curr Med Chem 2021[]; 28 (16): 3147-3157 PMID33106134show ga
  • BACKGROUND: Nowadays, the breakthrough of COVID-19 pandemic around the world is the biggest health challenge for the clinicians, and it represents an unexpected effort to identify an effective treatment for those patients. No proven definitive therapies for this infection currently exist. Unfortunately, the infected patients increased in an alarming way every day, faster than medical evidence. At present, the expanding knowledge regarding SARS-COV-2 virology provides several potential drug targets. OBJECTIVE: Therefore, clinicians need a rapid review and guideline about the main adverse effects regarding the most prescribed drugs and, specifically, the efficacy and potential risk of each pharmacological therapy, during hospital care. METHODS: The articles review was performed using PubMed to identify relevant papers in English language reported through July 20th, 2020; a second review was performed using Web of Science until August 28th, 2020. Due to the lack of randomized clinical trials, we included case reports, case series and reviews. We found a total of 1606 related articles. The authors independently reviewed the titles and abstracts for inclusion. CONCLUSION: At present, despite the enormous medical effort for publishing several trials or case reports, we have not yet discovered a definitive therapy against the COVID-19 infection. This brief review aims to prompt identification of risk factors and main adverse effects in a systematic view related to therapy with partial evidence proposed to date.
  • |*COVID-19[MESH]
  • |*Pandemics[MESH]
  • |Humans[MESH]


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