Ethnic,racial and socioeconomic disparities in breast cancer survival in two Brazilian capitals between 1996 and 2012 |
| |
| Institution: | 1. Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro RJ, Brazil;2. Universidade Federal de Sergipe (UFS), Aracaju SE, Brazil;3. Secretaria Municipal da Saúde de Curitiba (SMS-Curitiba), Curitiba PA, Brazil;4. Cancer Survival Group, London School of Hygiene and Tropical Medicine (LSHTM), London, UK;1. Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda;2. Harvard Medical School, Boston, MA, United States;3. Moi University, Eldoret, Kenya;4. Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya;5. University of California, San Francisco, CA, United States;6. Masaka Regional Referral Hospital, Masaka, Uganda;7. Mbarara Regional Referral Hospital, Mbarara, Uganda;8. Indiana University, Indianapolis, IN, United States;1. Institute for Cancer Epidemiology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany;2. Danish Cancer Society, Strandboulevarden 49, 2100, København, Denmark;1. Regional Cancer Center, Trivandrum, Kerala, India;2. Natural Background Radiation Cancer Registry, Karunagappally, Kerala, India;3. Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan;1. Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA;2. Data Analytics Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA;3. Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA;4. Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA;1. Department of Radiation Oncology, University of Texas Southwestern, Dallas, TX, USA;2. Department of Medical Oncology, University of Texas Southwestern, Dallas, TX, USA;3. Division of Biostatistics, Department of Clinical Sciences, University of Texas Southwestern Medical Center, TX, USA;1. University of Florida, Gainesville, FL United States;2. University of North Carolina at Chapel Hill, United States |
| |
| Abstract: | ObjectiveTo study the impact of socio-economic status and ethno-racial strata on excess mortality hazard and net survival of women with breast cancer in two Brazilian state capitals.MethodWe conducted a survival analysis with individual data from population-based cancer registries including women with breast cancer diagnosed between 1996 and 2012 in Aracaju and Curitiba. The main outcomes were the excess mortality hazard (EMH) and net survival. The associations of age, year of diagnosis, disease stage, race/skin colour and socioeconomic status (SES) with the excess mortality hazard and net survival were analysed using multi-level spline regression models, modelled as cubic splines with knots at 1 and 5 years of follow-up.ResultsA total of 2045 women in Aracaju and 7872 in Curitiba were included in the analyses. The EMH was higher for women with lower SES and for black and brown women in both municipalities. The greatest difference in excess mortality was seen between the most deprived women and the most affluent women in Curitiba, hazard ratio (HR) 1.93 (95%CI 1.63–2.28). For race/skin colour, the greatest ratio was found in Curitiba (HR 1.35, 95%CI 1.09–1.66) for black women compared with white women. The most important socio-economic difference in net survival was seen in Aracaju. Age-standardised net survival at five years was 55.7% for the most deprived women and 67.2% for the most affluent. Net survival at eight years was 48.3% and 61.0%, respectively. Net survival in Curitiba was higher than in Aracaju in all SES groups.”ConclusionOur findings suggest the presence of contrasting breast cancer survival expectancy in Aracaju and Curitiba, highlighting regional inequalities in access to health care. Lower survival among brown and black women, and those in lower SES groups indicates that early detection, early diagnosis and timely access to treatment must be prioritized to reduce inequalities in outcome among Brazilian women. |
| |
| Keywords: | Breast neoplasms Cancer epidemiology Survival analysis Health status disparities Healthcare disparities Outcome assessment in health care |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
