Literature DB >> 1562983

A collaborative study of differences in the survival rates of black patients and white patients with cancer.

J Howard1, B F Hankey, R S Greenberg, D F Austin, P Correa, V W Chen, S Durako.   

Abstract

In 1983, the National Cancer Institute began a social-epidemiologic study of possible behavioral and biologic determinants of black/white racial disparities in cancer survival. The design, methodology, underlying hypotheses, and patient accrual of this study are discussed. Survival differences in four organ sites are investigated: cancers of the uterine corpus, breast, bladder, and colon. The first three sites were chosen because of significant observed black/white differentials in survival. Although racial disparities in survival from colon cancer are less prominent, this site was included because it is a leading cause of deaths attributable to cancer, because regional variations have been observed in black/white survival disparities, and because colon data permit cross-gender comparisons. Data collection centers for the study included the Georgia Center for Cancer Statistics, the Louisiana Tumor Registry, and the California Tumor Registry. Probability samples of patients newly diagnosed with these cancers were drawn from the areas served by these registries. Diagnostic years of eligibility were 1985 to 1986 for breast and colon cancer, and 1985 to 1987 for bladder and uterine corpus cancer. Data were collected by personal interview, medical records abstract, physician records, and pathology review. Analyses focus on seven main explanatory hypotheses.

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Year:  1992        PMID: 1562983     DOI: 10.1002/1097-0142(19920501)69:9<2349::aid-cncr2820690925>3.0.co;2-7

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  17 in total

1.  Cancer clinical outcomes for minority ethnic groups.

Authors:  P Selby
Journal:  Br J Cancer Suppl       Date:  1996-09

2.  Trends and factors associated with radical cytoreductive surgery in the United States: A case for centralized care.

Authors:  A K Sinno; X Li; R E Thompson; E J Tanner; K L Levinson; R L Stone; S M Temkin; A N Fader; D S Chi; K Long Roche
Journal:  Gynecol Oncol       Date:  2017-03-30       Impact factor: 5.482

Review 3.  Breast cancer control among the underserved--an overview.

Authors:  N Breen; L G Kessler; M L Brown
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

4.  Race, health, and health services.

Authors:  L Bergner
Journal:  Am J Public Health       Date:  1993-07       Impact factor: 9.308

5.  Pan-cancer clinical and molecular analysis of racial disparities.

Authors:  Olivia D Lara; Ying Wang; Amma Asare; Tao Xu; Hua-Sheng Chiu; Yuexin Liu; Wei Hu; Pavel Sumazin; Shitanshu Uppal; Lin Zhang; J Alejandro Rauh-Hain; Anil K Sood
Journal:  Cancer       Date:  2019-11-15       Impact factor: 6.860

6.  Differences in the quality of care for women with an abnormal mammogram or breast complaint.

Authors:  J S Haas; E F Cook; A L Puopolo; H R Burstin; T A Brennan
Journal:  J Gen Intern Med       Date:  2000-05       Impact factor: 5.128

7.  Effects of health insurance and race on colorectal cancer treatments and outcomes.

Authors:  R G Roetzheim; N Pal; E C Gonzalez; J M Ferrante; D J Van Durme; J P Krischer
Journal:  Am J Public Health       Date:  2000-11       Impact factor: 9.308

8.  Disparities in surgery: access to outcomes.

Authors:  Selwyn O Rogers
Journal:  World J Surg       Date:  2008-04       Impact factor: 3.352

9.  Cancer-specific beliefs and survival in nonmetastatic colorectal cancer patients.

Authors:  Hosanna Soler-Vilá; Robert Dubrow; Vivian I Franco; Andrea K Saathoff; Stanislav V Kasl; Beth A Jones
Journal:  Cancer       Date:  2009-09-15       Impact factor: 6.860

10.  Prognostic significance of mucinous differentiation of endometrioid adenocarcinoma of the endometrium.

Authors:  Vijaya Galic; Maria B Schiavone; Thomas J Herzog; Kevin Holcomb; Sharyn N Lewin; Yu-Shiang Lu; Alfred I Neugut; Dawn L Hershman; Jason D Wright
Journal:  Cancer Invest       Date:  2013-08       Impact factor: 2.176

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