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Socioeconomic Position and Survival After Cervical Cancer: Influence of Cancer Stage, Comorbidity and Smoking Among Danish Women Diagnosed Between 2005 and 2010

Overview
Journal Br J Cancer
Specialty Oncology
Date 2013 Sep 14
PMID 24030072
Citations 18
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Abstract

Background: In an attempt to decrease social disparities in cancer survival, it is important to consider the mechanisms by which socioeconomic position influences cancer prognosis. We aimed to investigate whether any associations between socioeconomic factors and survival after cervical cancer could be explained by socioeconomic differences in cancer stage, comorbidity, lifestyle factors or treatment.

Methods: We identified 1961 cases of cervical cancer diagnosed between 2005 and 2010 in the Danish Gynaecological Cancer database, with information on prognostic factors, treatment and lifestyle. Age, vital status, comorbidity and socioeconomic data were obtained from nationwide administrative registers. Associations between socioeconomic indicators (education, income and cohabitation status) and mortality by all causes were analysed in Cox regression models with inclusion of possible mediators. Median follow-up time was 3.0 years (0.01-7.0).

Results: All cause mortality was higher in women with shorter rather than longer education (hazard ratio (HR), 1.46; 1.20-1.77), among those with lower rather than higher income (HR, 1.32; 1.07-1.63) and among women aged<60 years without a partner rather than those who cohabited (HR, 1.60; 1.29-1.98). Socioeconomic differences in survival were partly explained by cancer stage and less by comorbidity or smoking (stage- and comorbidity-adjusted HRs being 1.07; 0.96-1.19 for education and 1.15; 0.86-1.52 for income).

Conclusion: Socioeconomic disparities in survival after cervical cancer were partly explained by socioeconomic differences in cancer stage. The results point to the importance of further investigations into reducing diagnosis delay among disadvantaged groups.

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References
1.
Kvikstad A, Vatten L . Cancer risk and prognosis in Norway: comparing women in their first marriage with women who have never married. J Epidemiol Community Health. 1996; 50(1):51-5. PMC: 1060204. DOI: 10.1136/jech.50.1.51. View

2.
Coker A, Du X, Fang S, Eggleston K . Socioeconomic status and cervical cancer survival among older women: findings from the SEER-Medicare linked data cohorts. Gynecol Oncol. 2006; 102(2):278-84. DOI: 10.1016/j.ygyno.2005.12.016. View

3.
Howell E, Chen Y, Concato J . Differences in cervical cancer mortality among black and white women. Obstet Gynecol. 1999; 94(4):509-15. DOI: 10.1016/s0029-7844(99)00334-8. View

4.
Charlson M, Pompei P, Ales K, MacKenzie C . A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40(5):373-83. DOI: 10.1016/0021-9681(87)90171-8. View

5.
McCarthy A, Dumanovsky T, Visvanathan K, Kahn A, Schymura M . Racial/ethnic and socioeconomic disparities in mortality among women diagnosed with cervical cancer in New York City, 1995-2006. Cancer Causes Control. 2010; 21(10):1645-55. PMC: 4119171. DOI: 10.1007/s10552-010-9593-7. View