Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen, Denmark.
Br J Cancer. 2013 Oct 29;109(9):2489-95. doi: 10.1038/bjc.2013.558. Epub 2013 Sep 12.
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.
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).
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).
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.
为了减少癌症生存方面的社会差异,考虑社会经济地位影响癌症预后的机制非常重要。我们旨在研究社会经济因素与宫颈癌生存之间的任何关联是否可以用癌症分期、合并症、生活方式因素或治疗方面的社会经济差异来解释。
我们从丹麦妇科癌症数据库中确定了 1961 例 2005 年至 2010 年间诊断出的宫颈癌病例,这些病例有预后因素、治疗和生活方式方面的信息。年龄、生存状态、合并症和社会经济数据来自全国性行政登记册。在包含可能的中介因素的 Cox 回归模型中,分析了社会经济指标(教育、收入和同居状况)与所有原因死亡率之间的关系。中位随访时间为 3.0 年(0.01-7.0)。
与教育程度较长的女性相比,教育程度较短的女性全因死亡率更高(风险比(HR),1.46;1.20-1.77),收入较低的女性全因死亡率更高(HR,1.32;1.07-1.63),年龄<60 岁且没有伴侣的女性全因死亡率更高(HR,1.60;1.29-1.98)。生存方面的社会经济差异部分可以用癌症分期来解释,而合并症或吸烟的解释程度较小(经癌症分期和合并症调整后的 HR 分别为 1.07;0.96-1.19 教育和 1.15;0.86-1.52 收入)。
宫颈癌患者生存方面的社会经济差异部分可以用癌症分期的社会经济差异来解释。结果表明,进一步研究减少弱势群体的诊断延迟非常重要。