Meta- Analysis for Studying Racial Disparities in All-Cause Mortality for Persons with End-Stage Kidney Disease
Presentation Type
Poster
Student
Yes
Track
Health Care Application
Abstract
Meta-analysis is a powerful method for combining and analyzing data from different studies, offering clearer and more reliable results than individual studies alone. This study will primarily focus on the methodology of meta-analysis and its effective use in research. Key components of meta-analysis, such as the calculation of effect sizes, the implementation of both fixed and random effects models, and homogeneity assessment, will be thoroughly examined. These techniques enable meta-analysis to yield more comprehensive and accurate findings. To demonstrate a practical application of meta-analysis, this study will present preliminary results from an analysis of all-cause mortality data in patients with End-Stage Kidney Disease (ESKD), particularly focusing on racial disparities. Research has highlighted significant racial disparities in the incidence and prevalence of ESKD, with African Americans and other minority groups being disproportionately affected. There is a notable gap in understanding the disparities concerning mortality rates. The preliminary results from this meta-analysis will offer initial insights into the patterns and magnitude of racial disparities in ESKD mortality rates.
Start Date
2-6-2024 1:00 PM
End Date
2-6-2024 2:00 PM
Meta- Analysis for Studying Racial Disparities in All-Cause Mortality for Persons with End-Stage Kidney Disease
Volstorff A
Meta-analysis is a powerful method for combining and analyzing data from different studies, offering clearer and more reliable results than individual studies alone. This study will primarily focus on the methodology of meta-analysis and its effective use in research. Key components of meta-analysis, such as the calculation of effect sizes, the implementation of both fixed and random effects models, and homogeneity assessment, will be thoroughly examined. These techniques enable meta-analysis to yield more comprehensive and accurate findings. To demonstrate a practical application of meta-analysis, this study will present preliminary results from an analysis of all-cause mortality data in patients with End-Stage Kidney Disease (ESKD), particularly focusing on racial disparities. Research has highlighted significant racial disparities in the incidence and prevalence of ESKD, with African Americans and other minority groups being disproportionately affected. There is a notable gap in understanding the disparities concerning mortality rates. The preliminary results from this meta-analysis will offer initial insights into the patterns and magnitude of racial disparities in ESKD mortality rates.