首页> 外文期刊>Cancer: A Journal of the American Cancer Society >Postdiagnosis Social Networks and Breast Cancer Mortality in the After Breast Cancer Pooling Project
【24h】

Postdiagnosis Social Networks and Breast Cancer Mortality in the After Breast Cancer Pooling Project

机译:乳腺癌池汇集项目后的后诊断社会网络和乳腺癌死亡率

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

BACKGROUND: Large social networks have been associated with better overall survival, though not consistently with breast cancer (BC)-specific outcomes. This study evaluated associations of postdiagnosis social networks and BC outcomes in a large cohort. METHODS: Women from the After Breast Cancer Pooling Project (n=9267) provided data on social networks within approximately 2 years of their diagnosis. A social network index was derived from information about the presence of a spouse/partner, religious ties, community ties, friendship ties, and numbers of living first-degree relatives. Cox models were used to evaluate associations, and a meta-analysis was used to determine whether effect estimates differed by cohort. Stratification by demographic, social, tumor, and treatment factors was performed. RESULTS: There were 1448 recurrences and 1521 deaths (990 due to BC). Associations were similar in 3 of 4 cohorts. After covariate adjustments, socially isolated women (small networks) had higher risks of recurrence (hazard ratio [HR], 1.43; 95% confidence interval [CI], 1.15-1.77), BC-specific mortality (HR, 1.64; 95% CI, 1.33-2.03), and total mortality (HR, 1.69; 95% CI, 1.43-1.99) than socially integrated women; associations were stronger in those with stage I/II cancer. In the fourth cohort, there were no significant associations with BC-specific outcomes. A lack of a spouse/partner (P=.02) and community ties (P=.04) predicted higher BC-specific mortality in older white women but not in other women. However, a lack of relatives (P5.02) and friendship ties (P=.01) predicted higher BC-specific mortality in nonwhite women only. CONCLUSIONS: In a large pooled cohort, larger social networks were associated with better BC-specific and overall survival. Clinicians should assess social network information as a marker of prognosis because critical supports may differ with sociodemographic factors. (C) 2016 American Cancer Society.
机译:背景:大型社交网络已与整体生存更好,但不一致与乳腺癌(BC)的特异性结果一致。本研究评估了迟交社会网络和BC成果在大队列中的关联。方法:乳腺癌池汇总项目(n = 9267)的妇女在其诊断约2年内为社交网络提供了数据。社交网络指数来自有关配偶/伴侣,宗教联系,社区关系,友谊关系和生活第一学位亲属的数量的信息。 COX模型用于评估关联,使用META分析来确定群体是否不同的效果估计。进行人口统计,社会,肿瘤和治疗因子的分层。结果:复发有1448例和1521人死亡(由于BC,990)。在4个队列中的3个相似性相似。经协会调整后,社会孤立的女性(小型网络)的复发风险较高(危害比[HR],1.43; 95%置信区间[CI],1.15-1.77),特异性死亡率(HR,1.64; 95%CI) ,1.33-2.03),总死亡率(HR,1.69; 95%CI,1.43-1.99)的社会综合女性;在I / II阶段癌症中的那些中,关联较强。在第四队队列中,没有明显的联合与英国特定的结果。缺乏配偶/伴侣(P = .02)和社区关系(P = .04)预测老年白人女性的较高的BC特异性死亡率,但不在其他女性中。然而,缺乏亲戚(p5.02)和友谊关系(p = .01)只预测了非白人女性的较高的BC特异性死亡率。结论:在一个大的汇集队列中,较大的社交网络与更好的BC特异性和整体生存相关。临床医生应评估社交网络信息作为预后的标志,因为关键支持可能与社会渗塑因素不同。 (c)2016年美国癌症协会。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号