An international comparison of cancer survival: relatively poor areas of Toronto, Ontario and three US metropolitan areas

Gorey, Kevin M.; Holowaty, Eric J.; Fehringer, Gordon; Laukkanen, Ethan; Richter, Nancy L.; Meyer, C.

doi:10.1093/pubmed/22.3.343

Cited by 60 publications

(47 citation statements)

References 41 publications

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“…More than the absolute differential of the socioeconomic level, the influence of the access to healthcare services may explain the inverse relationship between the decrease in late diagnosis and increasing educational levels. 49 Neither can the cultural differences be disregarded, because with them there is the issue of the heterogeneity of access to healthcare and quality treatment. 33 Women of higher socioeconomic status benefit more from the therapy, regardless of the disease stage.…”

Section: Resultsmentioning

confidence: 99%

Taxa de sobrevida na mulher com câncer de mama: estudo de revisão

Rosa

Radünz

2012

Texto contexto - enferm.

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ABSTRACT:Integrative research that aimed to identify results in the publications available through the databases LILACS, SciELO and PubMed, period 2004-2009, the contributing factors to the increment of the survival rates in five years and the disease-free survival rate in five years in women with breast cancer. The results in 40 publications showed a higher incidence of the disease for the age groups between 50-60 years and 40-49 years. Screening programs, genetic, immunohistochemical and cytological diagnostic methods, increment of the education and socioeconomic patterns, associations of conventional therapies with new therapies contribute to the increase of survival rates, quality of life and care for women with breast cancer. DESCRIPTORS: TASA DE SUPERVIVENCIA EN MUJER CON CÁNCER DE MAMA: ESTUDIO DE REVISIÓN RESUMEN:Investigación integrativa que identificó en las publicaciones de LILACS, SciELO y PubMed en el período 2004-2009, los factores contribuyentes para la elevación de las tasas de supervivencia en cinco años y supervivencia libre de enfermedades en cinco años de las mujeres con cáncer de mama. Los resultados de 40 publicaciones, demuestran que la mayor incidencia de la enfermedad se dio entre los 50-60 años y 40-49 años. Programas de rastreo, elevación de la escolaridad, del patrón socioeconómico, estudios genéticos, inmunohistoquímicos y citológicos además de las terapéuticas convencionales favorecen a la elevación de las tasas de supervivencia, la calidad de vida y de los cuidados de la mujer con cáncer de mama. DESCRIPTORES:Tasa de supervivência. Neoplasias de la mama. Diagnóstico precoz.

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Section: Resultsmentioning

confidence: 99%

Taxa de sobrevida na mulher com câncer de mama: estudo de revisão

Rosa

Radünz

2012

Texto contexto - enferm.

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“…Previous studies have reported both positive association 10,11 and no association between SES and prostate cancer-specific survival. [12][13][14] Access inequalities to appropriate care and therapy as well as differences in tumor biology are possible explanations for survival differences between SES classes.…”

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confidence: 99%

“…15 Many previous studies regarding SES and prostate cancer mortality are from North America, particularly from the United States, in which the area code generally is used as surrogate of individual level of SES. 8,9,12,13,16,17 In addition, SES measures may have different meanings in different populations. 15 Furthermore, to our knowledge, few studies to date have evaluated factors impacting social disparities in prostate cancer mortality, such as differences in screening, disease stage at diagnosis, tumor characteristics, and treatment.…”

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confidence: 99%

Impact of socioeconomic status on prostate cancer diagnosis, treatment, and prognosis

Rapiti

Fioretta

Schaffar

et al. 2009

Cancer

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BACKGROUND: The objective of the current study was to evaluate the impact of socioeconomic disparities on prostate cancer presentation, treatment, and prognosis in Geneva, Switzerland, in which healthcare costs, medical coverage, and life expectancy are considered to be among the highest in the world. METHODS: This population-based study included all patients diagnosed with invasive prostate cancer among the resident population between 1995 and 2005. Patients were divided into 3 socioeconomic groups according to their last known occupation. Compared were patient and tumor characteristics and treatment patterns between socioeconomic groups. Cox multivariate regression analysis was used to assess and explain socioeconomic inequalities in prostate cancer-specific mortality. RESULTS: Compared with patients of high socioeconomic class, those of low socioeconomic class were more often foreigners, were found less frequently to have screen-detected cancer, were found to have a more advanced stage of disease at diagnosis, and less often had information regarding disease characteristics and staging. These patients underwent prostatectomy less frequently and were more often managed with watchful waiting. The risk of dying as a result of prostate cancer (hazards ratio [HR]) in patients of a low versus high socioeconomic status was increased 2-fold (95% confidence interval [95% CI], 1.5-2.6). After adjustment for patient and tumor characteristics and treatment, the mortality risk was no longer found to be significantly increased (HR, 1.2; 95% CI, 0.8-1.6). CONCLUSIONS: In the current study, patients of low socioeconomic class were found to be at increased risk of dying as a result of their prostate cancer. This increased mortality is largely attributable to delayed diagnosis, poor diagnostic workup, and less invasive treatments in these individuals

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“…21,24 About 80% of patients residing in census tracts with high (20% or above) poverty rates lived in the state's four largest cities (Bridgeport, Hartford, New Haven, and Waterbury; Table 1), which also included about 90% of all breast cancer patients who lived in an MUA. Reduced survival rates among lower SES patients with breast and other cancers living in a group of US counties in metropolitan areas (Hartford, CT; San Francisco, CA; Detroit, MI; and Seattle, WA) combined, 25,26 along with small SES gradients in survival in Hawaii and no clear gradient in Toronto (Canada), 16 have suggested a role for differences in health care systems (i.e., health insurance coverage). 16,25,26 For each of the four largest cities in Connecticut, the present study shows an SES gradient (albeit not always statistically significant) in the proportion of patients known to have died (Table 1).…”

Section: Discussionmentioning

confidence: 99%

“…Reduced survival rates among lower SES patients with breast and other cancers living in a group of US counties in metropolitan areas (Hartford, CT; San Francisco, CA; Detroit, MI; and Seattle, WA) combined, 25,26 along with small SES gradients in survival in Hawaii and no clear gradient in Toronto (Canada), 16 have suggested a role for differences in health care systems (i.e., health insurance coverage). 16,25,26 For each of the four largest cities in Connecticut, the present study shows an SES gradient (albeit not always statistically significant) in the proportion of patients known to have died (Table 1). There was also unexplained variation in the risk ratio for the four cities (relative to the rest of the state) after adjustment for certain patient characteristics (including the SES variable) (Table 3).…”

Section: Discussionmentioning

confidence: 99%