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种族、治疗方法及合并症对夏威夷乳腺癌患者生存率的影响。

Influences of ethnicity, treatment, and comorbidity on breast cancer survival in Hawaii.

作者信息

Maskarinec Gertraud, Pagano Ian S, Yamashiro Gladys, Issell Brian F

机构信息

Cancer Research Center of Hawaii, 1236 Lauhala Street, Honolulu, HI 96813, USA.

出版信息

J Clin Epidemiol. 2003 Jul;56(7):678-85. doi: 10.1016/s0895-4356(03)00079-9.

Abstract

The purpose of this study was to examine factors contributing to the ethnic discrepancies in breast cancer survival described previously. Through the use of the Hawaii Tumor Registry and insurance claims data, 1,052 breast cancer patients' survival times were examined in relation to demographics, disease characteristics, comorbidity, and treatment patterns as compared to national guidelines for breast cancer treatment. In stepwise and hierarchical Cox regression models, TNM stage was the strongest predictor of survival and explained all of the ethnic survival differences. In addition, comorbidity and treatment patterns were significant in predicting survival. In this population of health plan members, ethnic differences in survival were not a result of differential treatment, but due to variations in early detection. These results support the hypothesis that pre-existing conditions and treatment patterns are related to breast cancer survival even after controlling for stage at diagnosis indicating the usefulness of insurance claims data in this research field.

摘要

本研究的目的是探讨导致先前所述乳腺癌生存种族差异的因素。通过使用夏威夷肿瘤登记处和保险理赔数据,研究了1052例乳腺癌患者的生存时间与人口统计学、疾病特征、合并症及治疗模式之间的关系,并与乳腺癌治疗的国家指南进行了比较。在逐步和分层Cox回归模型中,TNM分期是生存的最强预测因素,并解释了所有种族生存差异。此外,合并症和治疗模式在预测生存方面具有显著性。在这个健康计划成员群体中,生存的种族差异不是治疗差异的结果,而是早期检测差异的结果。这些结果支持了这样一种假设,即即使在控制了诊断时的分期后,既往疾病状况和治疗模式仍与乳腺癌生存相关,这表明保险理赔数据在该研究领域具有实用性。

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