Impacts of Eligibility Criteria on Trial Participants' Age in Alzheimer's Disease Clinical Trials.
Year: 2022
Type: conference-paper
Abstract: Overly restricted and poorly designed eligibility criteria reduce the generalizability of the results from clinical trials. We conducted a study to identify and quantify the impacts of study traits extracted from eligibility criteria on the age of study populations in Alzheimer's Disease (AD) clinical trials. Using machine learning methods and SHapley Additive exPlanation (SHAP) values, we identified 30 and 34 study traits that excluded older patients from AD trials in our 2 generated target populations respectively. We also found that study traits had different magnitudes of impacts on the age distributions of the generated study populations across racial-ethnic groups. To our best knowledge, this was the first study that quantified the impact of eligibility criteria on the age of AD trial participants. Our research is a first step in addressing the overly restrictive eligibility criteria in AD clinical trials.
Source: PubMed
Authors: Aokun Chen, Qian Li, Xing He, Michael S Jaffee, William R Hogan, Fei Wang, Yi Guo, Jiang Bian
Institutions: University of Florida, Weill Cornell Medicine
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4367668431
