Influence of structural racism on cancer health disparities: Tailoring measures relevant to multiple myeloma

This commentary highlights a need for comprehensive measures of structural racism tailored to cancer health disparities, in particular Black-White disparities in multiple myeloma (MM). Recent political and social calls and advances in the ability to quantitate structural racism have led to rapidly growing research on the health consequences of structural racism. However, to date, most studies have used unidimensional measures of structural racism that do not capture cumulative influences or enable the identification of factors most responsible for driving disparities. Furthermore, measures may not reflect aspects of structural racism most relevant to underlying disease processes and risks. This study proposes a multifaceted approach to measuring structural racism relevant to MM that includes comprehensive, disease- and at-risk population-tailored social and environmental data and biomarkers of susceptibility and progression related to underlying biological changes associated with structural racism. Such novel measures of structural racism may improve the ability to assess the influence of structural racism on cancer health disparities, which may advance understanding of disease etiology and differences observed by racialized groups.

Authors

Institutions

Publication Details

Journal
Cancer
Published
2024-08-11
DOI
https://doi.org/10.1002/cncr.35512
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of structural racism on cancer health disparities: Tailoring measures relevant to multiple myeloma

Monica L. Baskin, Hugh B. Roland, Michael Esposito, Cydney M. McGuire et al.
Cancer
Multiple Myeloma Research and Treatments
article

Influence of structural racism on cancer health disparities: Tailoring measures relevant to multiple myeloma

Monica L. Baskin, Hugh B. Roland, Michael Esposito, Cydney M. McGuire, Elizabeth Brown, Elizabeth Baker
article en

Abstract

This commentary highlights a need for comprehensive measures of structural racism tailored to cancer health disparities, in particular Black-White disparities in multiple myeloma (MM). Recent political and social calls and advances in the ability to quantitate structural racism have led to rapidly growing research on the health consequences of structural racism. However, to date, most studies have used unidimensional measures of structural racism that do not capture cumulative influences or enable the identification of factors most responsible for driving disparities. Furthermore, measures may not reflect aspects of structural racism most relevant to underlying disease processes and risks. This study proposes a multifaceted approach to measuring structural racism relevant to MM that includes comprehensive, disease- and at-risk population-tailored social and environmental data and biomarkers of susceptibility and progression related to underlying biological changes associated with structural racism. Such novel measures of structural racism may improve the ability to assess the influence of structural racism on cancer health disparities, which may advance understanding of disease etiology and differences observed by racialized groups.

CancerVol. 130(23)
University of Minnesota (US), University of Pittsburgh (US), University of Alabama at Birmingham (US), Indiana University Bloomington (US)
National Institutes of Health, National Cancer Institute
Reduced inequalities
Openalex Percentile: Top 81%
Multiple Myeloma Research and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.