Apples to Apples: Effective Clinical Comparisons of Medications Used in Treating CoVid-19 Apples to Apples: Effective Clinical Comparisons of Medications Used in Treating CoVid-19

Authors' Affiliations

Ezra Adams, Family Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN. Laura Helmly, Family Medicine, Quillen College of Medicine, East Tennessee State University, Johnson City, TN.

Location

Culp Ballroom

Start Date

4-7-2022 9:00 AM

End Date

4-7-2022 12:00 PM

Poster Number

20

Faculty Sponsor’s Department

Family Medicine

Name of Project's Faculty Sponsor

Laura Helmly

Additional Sponsors

Amanda Stoltz, Thomas Townsend, Jason Moore, Greg Clarity, John Culp, Kelsey Lloyd, Elizabeth White, Andrea Hopkins, Chris Garner

Classification of First Author

Medical Resident or Clinical Fellow

Competition Type

Competitive

Type

Poster Presentation

Project's Category

Public Health

Abstract or Artist's Statement

During the second year of the pandemic, several medicines have been invented or repurposed to treat patients with symptoms resulting from CoVid-19. As this body of research has become voluminous and burdensome, health care professionals need a statistically useful method for directly comparing medications as a means of improving medical decision making and managing expectations for patients and families regarding treatment outcomes. This project examined clinical trials underlying medications recommended by the National Institute of Health for treating CoVid-19, compared the outcomes by which each medication was measured, and calculated the number needed to treat (NNT) for each medication to compare each treatment’s efficacy. Our analysis found that most studies used hospitalization for inpatient care as the endpoint against which treatments were measured, which makes NNT a potentially meaningful metric in comparing these medications and thus improving clinical decision making.

This document is currently not available here.

Share

COinS
 
Apr 7th, 9:00 AM Apr 7th, 12:00 PM

Apples to Apples: Effective Clinical Comparisons of Medications Used in Treating CoVid-19 Apples to Apples: Effective Clinical Comparisons of Medications Used in Treating CoVid-19

Culp Ballroom

During the second year of the pandemic, several medicines have been invented or repurposed to treat patients with symptoms resulting from CoVid-19. As this body of research has become voluminous and burdensome, health care professionals need a statistically useful method for directly comparing medications as a means of improving medical decision making and managing expectations for patients and families regarding treatment outcomes. This project examined clinical trials underlying medications recommended by the National Institute of Health for treating CoVid-19, compared the outcomes by which each medication was measured, and calculated the number needed to treat (NNT) for each medication to compare each treatment’s efficacy. Our analysis found that most studies used hospitalization for inpatient care as the endpoint against which treatments were measured, which makes NNT a potentially meaningful metric in comparing these medications and thus improving clinical decision making.