Literature DB >> 9395549

Race, socioeconomic status and survival in three female cancers.

H P Greenwald1, N L Polissar, H H Dayal.   

Abstract

OBJECTIVES: Although many studies have reported that socioeconomic status (SES) and race affect cancer survival, researchers have not established whether SES and race affect survival independently. The research reported here addresses this question with special attention to cancers affecting large numbers of women in the US.
METHODS: The authors analyzed data on survival among patients in the Centralized Cancer Patient Data System (CCPDS) with cancers of the breast (n = 6896), cervix (n = 2209) and uterine corpus (n = 1492).
RESULTS: According to Cox proportional hazards models, race predicted survival in all three cancers, while socioeconomic status predicted survival for cancers of the breast and uterine corpus. Interaction effects between race and SES were generally not statistically significant. This study includes larger numbers of observations within specific forms of cancer and covers a broader patient population than most previous investigations. These features promote detectability of SES effects, comparability among disease sites, and generalizability to cancer patients throughout the US.
CONCLUSIONS: Findings imply that SES and race affect cancer mortality risk independently of each other, and that the impact of SES and race may vary by malignancy. Survival disadvantages due to race-which may be more pronounced among women than men-should remain a continuing concern.

Entities:  

Mesh:

Year:  1996        PMID: 9395549     DOI: 10.1080/13557858.1996.9961771

Source DB:  PubMed          Journal:  Ethn Health        ISSN: 1355-7858            Impact factor:   2.772


  9 in total

1.  Effect of the Breast and Ccervical Cancer Ttreatment Act on access to screening and treatment in Oklahoma.

Authors:  Janis E Campbell; David M Thompson; Anne E Pate
Journal:  J Okla State Med Assoc       Date:  2014-01

2.  Spatial equity in facilities providing low- or no-fee screening mammography in Chicago neighborhoods.

Authors:  Shannon N Zenk; Elizabeth Tarlov; Jiaming Sun
Journal:  J Urban Health       Date:  2006-03       Impact factor: 3.671

3.  Ethnic disparities in cervical cancer survival among Texas women.

Authors:  Ann L Coker; Christopher P Desimone; Katherine S Eggleston; Arica L White; Melanie Williams
Journal:  J Womens Health (Larchmt)       Date:  2009-10       Impact factor: 2.681

4.  Socioeconomic status and survival after an invasive breast cancer diagnosis.

Authors:  Brian L Sprague; Amy Trentham-Dietz; Ronald E Gangnon; Ritesh Ramchandani; John M Hampton; Stephanie A Robert; Patrick L Remington; Polly A Newcomb
Journal:  Cancer       Date:  2010-11-08       Impact factor: 6.860

Review 5.  Measurement of socioeconomic status in health disparities research.

Authors:  Vickie L Shavers
Journal:  J Natl Med Assoc       Date:  2007-09       Impact factor: 1.798

6.  Racial differences in cervical cancer survival in the Detroit metropolitan area.

Authors:  Sujana Movva; Anne-Michelle Noone; Mousumi Banerjee; Divya A Patel; Kendra Schwartz; Cecilia L Yee; Michael S Simon
Journal:  Cancer       Date:  2008-03-15       Impact factor: 6.860

7.  Racial disparities in cervical cancer mortality in an African American and European American cohort in South Carolina.

Authors:  Swann Arp Adams; Alexandria Fleming; Heather M Brandt; Deborah Hurley; Susan Bolick-Aldrich; Sharon M Bond; James R Hebert
Journal:  J S C Med Assoc       Date:  2009-12

8.  Genetic alterations and PIK3CA gene mutations and amplifications analysis in cervical cancer by racial groups in the United States.

Authors:  Odekunle Florence Femi
Journal:  Int J Health Sci (Qassim)       Date:  2018 Jan-Feb

9.  Postoperative chemoradiotherapy versus radiotherapy alone for elderly cervical cancer patients with positive margins, lymph nodes, or parametrial invasion.

Authors:  Taylor R Cushman; Waqar Haque; Hari Menon; Chad G Rusthoven; E Brian Butler; Bin S Teh; Vivek Verma
Journal:  J Gynecol Oncol       Date:  2018-11       Impact factor: 4.401

  9 in total

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