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Evaluating Demographic Representation in Clinical Trials: Use of the Adaptive Coronavirus Disease 2019 Treatment Trial (ACTT) as a Test Case.

Authors :
Ortega-Villa AM
Hynes NA
Levine CB
Yang K
Wiley Z
Jilg N
Wang J
Whitaker JA
Colombo CJ
Nayak SU
Kim HJ
Iovine NM
Ince D
Cohen SH
Langer AJ
Wortham JM
Atmar RL
El Sahly HM
Jain MK
Mehta AK
Wolfe CR
Gomez CA
Beresnev T
Mularski RA
Paules CI
Kalil AC
Branche AR
Luetkemeyer A
Zingman BS
Voell J
Whitaker M
Harkins MS
Davey RT Jr
Grossberg R
George SL
Tapson V
Short WR
Ghazaryan V
Benson CA
Dodd LE
Sweeney DA
Tomashek KM
Source :
Open forum infectious diseases [Open Forum Infect Dis] 2023 May 27; Vol. 10 (6), pp. ofad290. Date of Electronic Publication: 2023 May 27 (Print Publication: 2023).
Publication Year :
2023

Abstract

Background: Clinical trials initiated during emerging infectious disease outbreaks must quickly enroll participants to identify treatments to reduce morbidity and mortality. This may be at odds with enrolling a representative study population, especially when the population affected is undefined.<br />Methods: We evaluated the utility of the Centers for Disease Control and Prevention's COVID-19-Associated Hospitalization Surveillance Network (COVID-NET), the COVID-19 Case Surveillance System (CCSS), and 2020 United States (US) Census data to determine demographic representation in the 4 stages of the Adaptive COVID-19 Treatment Trial (ACTT). We compared the cumulative proportion of participants by sex, race, ethnicity, and age enrolled at US ACTT sites, with respective 95% confidence intervals, to the reference data in forest plots.<br />Results: US ACTT sites enrolled 3509 adults hospitalized with COVID-19. When compared with COVID-NET, ACTT enrolled a similar or higher proportion of Hispanic/Latino and White participants depending on the stage, and a similar proportion of African American participants in all stages. In contrast, ACTT enrolled a higher proportion of these groups when compared with US Census and CCSS. The proportion of participants aged ≥65 years was either similar or lower than COVID-NET and higher than CCSS and the US Census. The proportion of females enrolled in ACTT was lower than the proportion of females in the reference datasets.<br />Conclusions: Although surveillance data of hospitalized cases may not be available early in an outbreak, they are a better comparator than US Census data and surveillance of all cases, which may not reflect the population affected and at higher risk of severe disease.<br />Competing Interests: Potential conflicts of interest. N. J. reports salary support to his institution by Sagent Pharmaceuticals. D. I. has received clinical trial funding paid to her institution from Gilead Sciences. M. K. J. has received grant funding paid to her institution from Gilead Sciences. R. A. M. has received grants and research funding to his institution from Gilead Sciences, Pfizer, Sanofi, and GlaxoSmithKline (GSK). A. R. B. has received grant funding to her institution from Pfizer, Merck, and Cynavac, and has consulted for Janssen and GSK. A. L. has received research grant support to her institution from Gilead. R. G. has received research funding from Gilead Sciences and GSK. W. R. S. has received clinical trial funding paid to his institution from Gilead Sciences. C. A. B. has received contracts and grants to her institution from Gilead Sciences. All other authors report no potential conflicts.<br /> (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2023.)

Details

Language :
English
ISSN :
2328-8957
Volume :
10
Issue :
6
Database :
MEDLINE
Journal :
Open forum infectious diseases
Publication Type :
Academic Journal
Accession number :
37383244
Full Text :
https://doi.org/10.1093/ofid/ofad290