A demographic analysis of the All of Us research program and its potential implications for uterine fibroid research
OA Version
Citation
Abstract
OBJECTIVES: 1) Compare the demographic of the All of Us dataset to the overall U.S. population. 2) Compare the demographics of female participants with uterine fibroids in the All of Us dataset to known demographic trends in the uterine fibroid (UF) literature.
METHODS: A retrospective cohort study of all participants, core participants, and females who have UF within All of Us. Only participants with both baseline survey and electronic health record (EHR) data were included in the analysis for core participants. Only participants assigned female sex at birth with both baseline survey and EHR data were included in the analysis for females who have UF within the All of Us dataset. To evaluate differences in UF representation, two distinct fibroid cohorts, based on SNOMED diagnostic codes and a published EHR algorithm using procedural codes, were created. Descriptive statistics were obtained for all cohorts. Prevalence of UF within both diagnostic cohorts were compared. Associations between both cohorts of the All of Us dataset and the overall U.S. population were compared. Demographic trends in diagnostic cohorts were compared to known UF trends existing in the literature.
RESULTS: The All of Us dataset does not have strong associations with the overall U.S. population. Majority of participants in the dataset are female and underrepresented populations in biomedical research were shown to have a larger presence (28.8% of core participants are Black and 27.7% are Hispanic). UF diagnostic cohorts followed demographic trends seen in fibroid literature.
CONCLUSION: The All of Us dataset is a growing source of diverse longitudinal data that can be utilized to study women’s health conditions including fibroids. Future research using the dataset should explore UF epidemiology using the dataset’s genomic data.
Description
2024