2020
DOI: 10.21203/rs.3.rs-40903/v1
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Identifying Side Effects of Some Drugs Used in Covid-19 Treatment

Abstract: To increase the success in Covid 19 treatment, many drug suggestions are presented, and some clinical studies are shared in the literature. There have been some attempts to use some of these drugs in combination. However, using more than one drug together may cause serious side effects on patients. Therefore, detecting drug-drug interactions of the drugs used will be of great importance in the treatment of Covid 19. In this study, the interactions of 8 drugs used for Covid 19 treatment with 645 different drugs… Show more

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Cited by 1 publication
(3 citation statements)
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“…Next, we reduce the confounding effects of multiple drugs. Traditional pharmacosurveillance typically only concern how adverse events connected to specific therapy [32], however, our approach able to discover multiple drugs that may explain the change of reporting frequency during the pandemic, and control underlying variables in analysis. We consider two types of medication interference:…”
Section: Population-scale Adverse Event Model Of Patient Safetymentioning
confidence: 99%
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“…Next, we reduce the confounding effects of multiple drugs. Traditional pharmacosurveillance typically only concern how adverse events connected to specific therapy [32], however, our approach able to discover multiple drugs that may explain the change of reporting frequency during the pandemic, and control underlying variables in analysis. We consider two types of medication interference:…”
Section: Population-scale Adverse Event Model Of Patient Safetymentioning
confidence: 99%
“…Prior studies on adverse events have focused on laboratory environments, molecular characterization of drugs and target proteins, and limited clinical trial observations [2629]. Studies examining reports of adverse events in the context of the pandemic were limited to very restricted pairs of drugs and adverse reactions, small numbers of reports, and narrow time ranges [3032]. Further, such narrowly focused analyses can be confounded by historical biases in adverse event reporting and by mixing population groups that differ in their relative risks for clinical events.…”
Section: Introductionmentioning
confidence: 99%
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