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The association between socioeconomic status, renal cancer presentation, and survival in the United States: A survival, epidemiology, and end results analysis

机译:社会经济状况,肾癌表现与美国生存率之间的关联:生存率,流行病学和最终结果分析

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Objective To determine whether socioeconomic status (SES) predicts the size and local extent of tumors at presentation, and if this association leads to differences in survival. Materials and Methods The National Cancer Institute's Survival, Epidemiology, and End Results registry was queried for patients diagnosed with renal cancers between 2004 and 2010. Demographic, tumor, survival, and socioeconomic data were obtained. Cancers with T0 classification, nonrenal cell histology, or missing clinical or pathologic data were excluded. An SES measure was created from available metrics. Outcomes analyzed were tumor size, TNM classifications at diagnosis, tumor grade and histology subtype, and survival duration. Results A total of 40,212 cases were identified. On regression modeling, lower SES was an independent risk factor for tumor size ≥4 cm (P =.003) and for T classification ≥T2 (P =.040) at presentation, but did not predict histology subtype, positive lymph nodes, or metastasis. Lower SES predicted high-grade disease on univariate analysis (P =.012) but lost significance in the multivariate model. Lower SES was also independently predictive of shortened cancer-specific survival on multivariate analysis after adjusting for available cofactors (lowest vs highest SES quartile; P =.001). Conclusion This study suggests that low SES is correlated with poorer survival outcomes in renal cancer, and this may be related to a tendency toward larger and more locally advanced tumors at diagnosis. Additional investigation is needed to ascertain whether these effects could be mediated by relatively lower rates of incidental detection via abdominal imaging in disadvantaged populations.
机译:目的确定社会经济状况(SES)是否能预测出现时肿瘤的大小和局部范围,以及这种关联是否导致生存差异。资料和方法对2004年至2010年间被诊断患有肾癌的患者,向美国国家癌症研究所的生存,流行病学和最终结果登记表查询。获得了人口统计学,肿瘤,生存率和社会经济数据。排除具有T0分类,非肾细胞组织学或缺少临床或病理数据的癌症。根据可用指标创建了SES度量。分析的结果是肿瘤大小,诊断时的TNM分类,肿瘤等级和组织学亚型以及生存期。结果共鉴定出40212例。在回归模型中,较低的SES是出现时肿瘤大小≥4cm(P = .003)和T分类≥T2(P = .040)的独立危险因素,但不能预测组织学亚型,淋巴结阳性或转移。在单变量分析中,较低的SES预测为高等级疾病(P = .012),但在多变量模型中则无意义。调整了可用的辅助因子后,较低的SES还可以通过多变量分析独立预测癌症特异性生存期的缩短(最低与最高SES四分位数; P = .001)。结论这项研究表明,低SES与肾癌的较差的生存结果相关,这可能与诊断时倾向于更大和更局部晚期肿瘤的趋势有关。需要进行进一步的调查以确定这些影响是否可以通过相对较低的弱势人群的腹部成像偶然检测率来介导。

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