Literature DB >> 34108139

Disentangling Racial, Ethnic, and Socioeconomic Disparities in Treatment for Colorectal Cancer.

Chelsea A Obrochta1,2, James D Murphy3, Ming-Hsiang Tsou4,5, Caroline A Thompson6,2,3.   

Abstract

BACKGROUND: Colorectal cancer is curable if diagnosed early and treated properly. Black and Hispanic patients with colorectal cancer are more likely to experience treatment delays and/or receive lower standards of care. Socioeconomic deprivation may contribute to these disparities, but this has not been extensively quantified. We studied the interrelationship between patient race/ethnicity and neighborhood socioeconomic status (nSES) on receipt of timely appropriate treatment among patients with colorectal cancer in California.
METHODS: White, Black, and Hispanic patients (26,870) diagnosed with stage I-III colorectal cancer (2009-2013) in the California Cancer Registry were included. Logistic regression models were used to examine the association of race/ethnicity and nSES with three outcomes: undertreatment, >60-day treatment delay, and >90-day treatment delay. Joint effect models and mediation analysis were used to explore the interrelationships between race/ethnicity and nSES.
RESULTS: Hispanics and Blacks were at increased risk for undertreatment [Black OR = 1.39; 95% confidence interval (CI) = 1.23-1.57; Hispanic OR = 1.17; 95% CI = 1.08-1.27] and treatment delay (Black/60-day OR = 1.78; 95% CI = 1.57-2.02; Hispanic/60-day OR = 1.50; 95% CI = 1.38-1.64) compared with Whites. Of the total effect (OR = 1.15; 95% CI = 1.07-1.24) of non-white race on undertreatment, 45.71% was explained by nSES.
CONCLUSIONS: Lower nSES patients of any race were at substantially higher risk for undertreatment and treatment delay, and racial/ethnic disparities are reduced or eliminated among non-white patients living in the highest SES neighborhoods. Racial and ethnic disparities persisted after accounting for neighborhood socioeconomic status, and between the two, race/ethnicity explained a larger portion of the total effects. IMPACT: This research improves our understanding of how socioeconomic deprivation contributes to racial/ethnic disparities in colorectal cancer. ©2021 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2021        PMID: 34108139      PMCID: PMC8338765          DOI: 10.1158/1055-9965.EPI-20-1728

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  36 in total

1.  Hospital policy and practice regarding the collection of data on race, ethnicity, and birthplace.

Authors:  Scarlett Lin Gomez; Gem M Le; Dee W West; William A Satariano; Lilia O'Connor
Journal:  Am J Public Health       Date:  2003-10       Impact factor: 9.308

2.  Racial and Ethnic Disparities in Cancer Survival: The Contribution of Tumor, Sociodemographic, Institutional, and Neighborhood Characteristics.

Authors:  Libby Ellis; Alison J Canchola; David Spiegel; Uri Ladabaum; Robert Haile; Scarlett Lin Gomez
Journal:  J Clin Oncol       Date:  2017-10-16       Impact factor: 44.544

3.  Diagnostic interval and mortality in colorectal cancer: U-shaped association demonstrated for three different datasets.

Authors:  Marie Louise Tørring; Morten Frydenberg; William Hamilton; Rikke P Hansen; Marianne D Lautrup; Peter Vedsted
Journal:  J Clin Epidemiol       Date:  2012-03-27       Impact factor: 6.437

4.  Socioeconomic factors impact colon cancer outcomes in diverse patient populations.

Authors:  Wendy Lee; Rebecca Nelson; Brian Mailey; Marjun Philip Duldulao; Julio Garcia-Aguilar; Joseph Kim
Journal:  J Gastrointest Surg       Date:  2012-01-19       Impact factor: 3.452

5.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.

Authors:  Jonathan A C Sterne; Ian R White; John B Carlin; Michael Spratt; Patrick Royston; Michael G Kenward; Angela M Wood; James R Carpenter
Journal:  BMJ       Date:  2009-06-29

6.  Racial disparity in consultation, treatment, and the impact on survival in metastatic colorectal cancer.

Authors:  Daniel R Simpson; María Elena Martínez; Samir Gupta; Jona Hattangadi-Gluth; Loren K Mell; Gregory Heestand; Paul Fanta; Sonia Ramamoorthy; Quynh-Thu Le; James D Murphy
Journal:  J Natl Cancer Inst       Date:  2013-11-14       Impact factor: 13.506

7.  Mediation analysis allowing for exposure-mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.

Authors:  Linda Valeri; Tyler J Vanderweele
Journal:  Psychol Methods       Date:  2013-02-04

8.  Barriers and facilitators for colorectal cancer screening practices in the Latino community: perspectives from community leaders.

Authors:  Ana Natale-Pereira; Jonnie Marks; Marielos Vega; Dawne Mouzon; Shawna V Hudson; Debbie Salas-Lopez
Journal:  Cancer Control       Date:  2008-04       Impact factor: 3.302

9.  Changes in Colorectal Cancer 5-Year Survival Disparities in California, 1997-2014.

Authors:  Debora L Oh; Eduardo J Santiago-Rodríguez; Alison J Canchola; Libby Ellis; Li Tao; Scarlett L Gomez
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-05-05       Impact factor: 4.254

10.  Odds ratios for mediation analysis for a dichotomous outcome.

Authors:  Tyler J Vanderweele; Stijn Vansteelandt
Journal:  Am J Epidemiol       Date:  2010-10-29       Impact factor: 5.363

View more
  2 in total

1.  Racial disparities in treatments and mortality among a large population-based cohort of older men and women with colorectal cancer.

Authors:  Xianglin L Du; Lulu Song
Journal:  Cancer Treat Res Commun       Date:  2022-08-06

2.  Dostarlimab: A breakthrough in the field of oncology.

Authors:  Hassan Ul Hussain; Muhammad Husban Burney; Syeda Tayyaba Rehan; Mohammad Mehedi Hasan
Journal:  Ann Med Surg (Lond)       Date:  2022-07-05
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.