Diversity of US participants in AstraZeneca-sponsored clinical trials.

AstraZeneca Clinical trial Diversity Equity Ethnicity Race

Journal

Contemporary clinical trials
ISSN: 1559-2030
Titre abrégé: Contemp Clin Trials
Pays: United States
ID NLM: 101242342

Informations de publication

Date de publication:
09 Mar 2024
Historique:
received: 04 08 2023
revised: 08 02 2024
accepted: 08 03 2024
medline: 12 3 2024
pubmed: 12 3 2024
entrez: 11 3 2024
Statut: aheadofprint

Résumé

To develop medicines that are safe and efficacious to all patients, clinical trials must enroll appropriate target populations, but imbalances related to race, ethnicity and sex have been reported. A comprehensive analysis and improvement in understanding representativeness of patient enrollment in industry-sponsored trials are key public health needs. We assessed race/ethnicity and sex representation in AstraZeneca (AZ)-sponsored clinical trials in the United States (US) from 2010 to 2022, compared with the 2019 US Census. In total, 246 trials representing 95,372 patients with complete race/ethnicity and sex records were analyzed. The proportions of different race/ethnicity subgroups in AZ-sponsored clinical trials and the US Census were similar (White: 69.5% vs 60.1%, Black or African American: 13.3% vs 12.5%, Asian: 1.8% vs 5.8%, Hispanic: 14.4% vs 18.5%). We also observed parity in the proportions of males and females between AZ clinical trials and US Census (males: 52.4% vs 49.2%, females: 47.6% vs 50.8%). Comparisons of four distinct therapy areas within AZ (Respiratory and Immunology [R&I]; Cardiovascular, Renal, and Metabolism [CVRM]; Solid Tumors; and Hematological Malignancies), including by trial phases, revealed greater variability, with proportions observed above and below US Census levels. This analysis provides the first detailed insights into the representativeness of AZ trials. Overall, the proportions of different race/ethnicity and sex subgroups in AZ-sponsored clinical trials were broadly aligned with the US Census. We outline some of AZ's planned health equity initiatives that are intended to continue to improve equitable patient enrollment.

Sections du résumé

BACKGROUND BACKGROUND
To develop medicines that are safe and efficacious to all patients, clinical trials must enroll appropriate target populations, but imbalances related to race, ethnicity and sex have been reported. A comprehensive analysis and improvement in understanding representativeness of patient enrollment in industry-sponsored trials are key public health needs.
METHODS METHODS
We assessed race/ethnicity and sex representation in AstraZeneca (AZ)-sponsored clinical trials in the United States (US) from 2010 to 2022, compared with the 2019 US Census.
RESULTS RESULTS
In total, 246 trials representing 95,372 patients with complete race/ethnicity and sex records were analyzed. The proportions of different race/ethnicity subgroups in AZ-sponsored clinical trials and the US Census were similar (White: 69.5% vs 60.1%, Black or African American: 13.3% vs 12.5%, Asian: 1.8% vs 5.8%, Hispanic: 14.4% vs 18.5%). We also observed parity in the proportions of males and females between AZ clinical trials and US Census (males: 52.4% vs 49.2%, females: 47.6% vs 50.8%). Comparisons of four distinct therapy areas within AZ (Respiratory and Immunology [R&I]; Cardiovascular, Renal, and Metabolism [CVRM]; Solid Tumors; and Hematological Malignancies), including by trial phases, revealed greater variability, with proportions observed above and below US Census levels.
CONCLUSION CONCLUSIONS
This analysis provides the first detailed insights into the representativeness of AZ trials. Overall, the proportions of different race/ethnicity and sex subgroups in AZ-sponsored clinical trials were broadly aligned with the US Census. We outline some of AZ's planned health equity initiatives that are intended to continue to improve equitable patient enrollment.

Identifiants

pubmed: 38467274
pii: S1551-7144(24)00070-3
doi: 10.1016/j.cct.2024.107496
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107496

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Claudia Cabrera (C)

Real World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Gothenburg, Sweden. Electronic address: Claudia.S.Cabrera@astrazeneca.com.

Daniel Fernández-Llaneza (D)

Real World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.

Zara Ghazoui (Z)

Data Science and Artificial Intelligence, BioPharmaceuticals Research and Development, AstraZeneca, Cambridge, UK.

Sofia D'Abrantes (S)

Data Science and Artificial Intelligence, BioPharmaceuticals Research and Development, AstraZeneca, Cambridge, UK.

M Alejandro Esparza-Franco (MA)

Data Science and Artificial Intelligence, BioPharmaceuticals Research and Development, AstraZeneca, Cambridge, UK.

Charles Sopp (C)

Real World Science and Analytics, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK.

Beata Maj (B)

Chief Medical Office, AstraZeneca, Gothenburg, Sweden.

Victoria L Chiou (VL)

Oncology Research and Development, AstraZeneca, Gaithersburg, MD, USA.

Barbara Valastro (B)

Research and Development Patient Science, Chief Medical Office, AstraZeneca, Gothenburg, Sweden.

Menelas N Pangalos (MN)

BioPharmaceuticals Research and Development, AstraZeneca, Cambridge, UK.

Susan Galbraith (S)

Oncology Research and Development, AstraZeneca, Gaithersburg, MD, USA.

Serban Ghiorghiu (S)

Chief Medical Office and Oncology Research and Development, AstraZeneca, Cambridge, UK.

Cristian Massacesi (C)

Chief Medical Office and Oncology Research and Development, Research and Development, AstraZeneca, Gaithersburg, MD, USA.

Classifications MeSH