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Describing the association between socioeconomic inequalities and cancer survival: methodological guidelines and illustration with population-based data

机译:描述社会经济不平等与癌症生存之间的关联:方法指南和基于人群的数据说明

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Background: Describing the relationship between socioeconomic inequalities and cancer survival is important but methodologically challenging. We propose guidelines for addressing these challenges and illustrate their implementation on French population-based data. Methods: We analyzed 17 cancers. Socioeconomic deprivation was measured by an ecological measure, the European Deprivation Index (EDI). The Excess Mortality Hazard (EMH), ie, the mortality hazard among cancer patients after accounting for other causes of death, was modeled using a flexible parametric model, allowing for nonlinear and/or time-dependent association between the EDI and the EMH. The model included a cluster-specific random effect to deal with the hierarchical structure of the data. Results: We reported the conventional age-standardized net survival (ASNS) and described the changes of the EMH over the time since diagnosis at different levels of deprivation. We illustrated nonlinear and/or time-dependent associations between the EDI and the EMH by plotting the excess hazard ratio according to EDI values at different times after diagnosis. The median excess hazard ratio quantified the general contextual effect. Lip–oral cavity–pharynx cancer in men showed the widest deprivation gap, with 5-year ASNS at 41% and 29% for deprivation quintiles 1 and 5, respectively, and we found a nonlinear association between the EDI and the EMH. The EDI accounted for a substantial part of the general contextual effect on the EMH. The association between the EDI and the EMH was time dependent in stomach and pancreas cancers in men and in cervix cancer. Conclusion: The methodological guidelines proved efficient in describing the way socioeconomic inequalities influence cancer survival. Their use would allow comparisons between different health care systems.
机译:背景:描述社会经济不平等与癌症生存之间的关系很重要,但在方法上具有挑战性。我们提出了应对这些挑战的指南,并说明了在法国基于人口的数据中的实施方法。方法:我们分析了17种癌症。社会经济剥夺是通过一种生态措施,即欧洲剥夺指数(EDI)进行衡量的。使用灵活的参数模型对过度死亡率危害(EMH)(即考虑了其他死亡原因的癌症患者之间的死亡危害)进行建模,以实现EDI和EMH之间的非线性和/或时间依赖性。该模型包括一个特定于群集的随机效应,以处理数据的层次结构。结果:我们报告了常规的年龄标准化净生存率(ASNS),并描述了自诊断以来不同剥夺水平下EMH随时间的变化。我们通过根据诊断后不同时间的EDI值绘制过量危害比来说明EDI与EMH之间的非线性和/或时间相关性。中值过量危险比量化了总体环境影响。男性的口-口腔-咽部癌显示出最广泛的剥夺差距,剥夺的五分之一人口1和5的5年ASNS分别为41%和29%,并且我们发现EDI与EMH之间存在非线性关联。 EDI在对EMH的总体上下文影响中占很大一部分。 EDI和EMH之间的关联在男性胃癌和胰腺癌以及子宫颈癌中是时间依赖性的。结论:该方法学指南有效地描述了社会经济不平等影响癌症生存的方式。它们的使用将允许在不同的卫生保健系统之间进行比较。

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