Cancer-specific beliefs and survival: A population-based study of African-American and White breast cancer patients

被引:15
|
作者
Soler-Vila, H [1 ]
Kasl, SV [1 ]
Jones, BA [1 ]
机构
[1] Yale Univ, Sch Med, Dept Epidemiol & Publ Hlth, New Haven, CT 06520 USA
关键词
African-Americans; beliefs; breast carcinoma; prognosis; survival analysis;
D O I
10.1007/s10552-004-2232-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Beliefs about cancer and its treatment have been shown to influence cancer stage at diagnosis and, thus, prognosis. The association between these beliefs and survival is understudied, especially among racially/ethnically diverse populations. We investigated the relationship between cancer-specific beliefs and survival in a cohort of African-American and White women with newly diagnosed breast cancer followed for up to 15 years. Methods: We examined beliefs about cancer detection, treatment, and curability in a population-based cohort of 145 African-American and 177 White women diagnosed with breast cancer in Connecticut, US, between 1987 and 1989. Cox proportional-hazards models were adjusted for stage at diagnosis, other biomedical variables, socio-demographic and lifestyle factors. Results: In multivariate models, perceived cancer incurability was associated with a higher risk of death from any cause (hazards ratio (HR)=1.67, 95 confidence interval (CI)=1.11, 2.51). Further control for tumor characteristics, genetic alterations, access to care, and additional psychosocial factors did not alter these findings. Other cancer-specific beliefs examined here were not related to survival. Conclusions: Perceived cancer incurability is independently associated with survival among breast cancer patients in fully adjusted models. The identification of the underlying mechanisms of this association has potential for translation into intervention strategies for cancer patients.
引用
收藏
页码:105 / 114
页数:10
相关论文
共 50 条
  • [31] Novel nomograms predicting overall and cancer-specific survival of malignant ependymoma patients: a population-based study
    Dibas, Mahmoud
    Ghozy, Sherief
    Morsy, Sara
    Abbas, Alzhraa S.
    Alkahtani, Saad
    Bin-Jumah, May
    Abdel-Daim, Mohamed M.
    JOURNAL OF NEUROSURGICAL SCIENCES, 2023, 67 (01) : 93 - 102
  • [32] Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study
    Si-si Yang
    Xiao-huan Zhong
    Hui-xin Wang
    An-jie Min
    Wei-ming Wang
    Current Medical Science, 2021, 41 : 953 - 960
  • [33] Overall and Cancer-Specific Survival in Patients With Renal Pelvic Transitional Cell Carcinoma: A Population-Based Study
    Hu, Tingting
    You, Shengjie
    FRONTIERS IN MEDICINE, 2022, 8
  • [34] Nomograms for Predicting Cancer-Specific Survival of Patients with Gingiva Squamous Cell Carcinoma: A Population-Based Study
    Yang, Si-si
    Zhong, Xiao-huan
    Wang, Hui-xin
    Min, An-jie
    Wang, Wei-ming
    CURRENT MEDICAL SCIENCE, 2021, 41 (05) : 953 - 960
  • [35] A nomogram for predicting cancer-specific survival in patients with uterine clear cell carcinoma: a population-based study
    Cheng, Wen-li
    Wang, Rui-min
    Zhao, Yi
    Chen, Juan
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [36] Clinicopathological characteristics and prediction of cancer-specific survival in large cell lung cancer: a population-based study
    Shi, Yafei
    Chen, Wei
    Li, Chunyu
    Qi, Shuya
    Zhou, Xiaowei
    Zhang, Yujun
    Li, Ying
    Li, Guohui
    JOURNAL OF THORACIC DISEASE, 2020, 12 (05) : 2261 - 2269
  • [37] Processes of Care and the Impact of Surgical Volumes on Cancer-specific Survival: A Population-based Study in Bladder Cancer
    Siemens, D. Robert
    Mackillop, William J.
    Peng, Yingwei
    Berman, David
    Elharram, Ahmed
    Rhee, Jonathan
    Booth, Christopher M.
    UROLOGY, 2014, 84 (05) : 1049 - 1056
  • [39] Prognostic Nomograms to Predict Overall Survival and Cancer-Specific Survival of Patients With Pancreatic Neuroendocrine Tumors: A Population-Based Study
    Song, Zuoli
    Wang, Sumei
    Wu, Yujing
    Zhang, Jinjuan
    Liu, Shuye
    PANCREAS, 2021, 50 (03) : 414 - 422
  • [40] A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients Undergoing Surgery With Prostate Cancer: A Population-Based Study
    Zhang, Zhaoxia
    Zhanghuang, Chenghao
    Wang, Jinkui
    Mi, Tao
    Liu, Jiayan
    Tian, Xiaomao
    Jin, Liming
    He, Dawei
    FRONTIERS IN PUBLIC HEALTH, 2022, 10