BACKGROUND: A survival disadvantage for black women with breast cancer, which persists after controlling for stage of the disease, has been reported. This study investigates the effects of race and socioeconomic status (SES) on breast cancer survival after controlling for age, stage, histology, and type of treatment. METHODS: Kaplan-Meier and Cox proportional hazards models were used to analyze the interaction between race and SES in predicting survival in a sample of 163 black, 205 Hispanic and 964 white women with breast cancer treated at M.D. Anderson Cancer Center a (1987-1991). RESULTS: The results of univariate and multivariate analyses indicate that race was not a significant predictor of survival after adjusting for SES and other confounding factors such as demographic and disease characteristics. SES remained a significant predictor of survival after all adjustments were made. There was no evidence of differences in type of treatment by race or SES if adjustments were made for stage. CONCLUSIONS: These results suggest that institutional factors, such as access to treatment, do not explain survival differences by race or SES. Other factors associated with low SES, such as life-style and behavior, may affect survival.
BACKGROUND: A survival disadvantage for black women with breast cancer, which persists after controlling for stage of the disease, has been reported. This study investigates the effects of race and socioeconomic status (SES) on breast cancer survival after controlling for age, stage, histology, and type of treatment. METHODS: Kaplan-Meier and Cox proportional hazards models were used to analyze the interaction between race and SES in predicting survival in a sample of 163 black, 205 Hispanic and 964 white women with breast cancer treated at M.D. Anderson Cancer Center a (1987-1991). RESULTS: The results of univariate and multivariate analyses indicate that race was not a significant predictor of survival after adjusting for SES and other confounding factors such as demographic and disease characteristics. SES remained a significant predictor of survival after all adjustments were made. There was no evidence of differences in type of treatment by race or SES if adjustments were made for stage. CONCLUSIONS: These results suggest that institutional factors, such as access to treatment, do not explain survival differences by race or SES. Other factors associated with low SES, such as life-style and behavior, may affect survival.
Authors: Caprice K Christian; Joyce Niland; Stephen B Edge; Rebecca A Ottesen; Melissa E Hughes; Richard Theriault; John Wilson; Charles A Hergrueter; Jane C Weeks Journal: Ann Surg Date: 2006-02 Impact factor: 12.969
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Authors: K Scott Baker; Stella M Davies; Navneet S Majhail; Anna Hassebroek; John P Klein; Karen K Ballen; Carolyn L Bigelow; Haydar A Frangoul; Cheryl L Hardy; Christopher Bredeson; Jason Dehn; Debra Friedman; Theresa Hahn; Gregory Hale; Hillard M Lazarus; C F LeMaistre; Fausto Loberiza; Dipnarine Maharaj; Philip McCarthy; Michelle Setterholm; Stephen Spellman; Michael Trigg; Richard T Maziarz; Galen Switzer; Stephanie J Lee; J Douglas Rizzo Journal: Biol Blood Marrow Transplant Date: 2009-09-25 Impact factor: 5.742