Partner status and survival after cancer: A competing risks analysis

被引:11
作者
Dasgupta, Paramita [1 ]
Turrell, Gavin [2 ]
Aitken, Joanne F. [1 ,2 ,3 ]
Baade, Peter D. [1 ,2 ,4 ]
机构
[1] Canc Council Queensland, POB 201, Spring Hill, Qld 4004, Australia
[2] Queensland Univ Technol, Sch Publ Hlth & Social Work, Herston Rd, Kelvin Grove, Qld 4059, Australia
[3] Univ Queensland, Sch Populat Hlth, Brisbane, Qld, Australia
[4] Griffith Univ, Menzies Hlth Inst Queensland, Gold Coast Campus,Parklands Dr, Southport, Qld 4222, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
Cancer; Survival; Partner status; Inequalities; Competing risks; CELL LUNG-CANCER; MARITAL-STATUS; COLORECTAL-CANCER; DIAGNOSIS; IMPACT; STAGE; MARRIAGE; GENDER; MODEL; HEAD;
D O I
10.1016/j.canep.2015.12.009
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: The survival benefits of having a partner for all cancers combined is well recognized, however its prognostic importance for individual cancer types, including competing mortality causes, is less clear. This study was undertaken to quantify the impact of partner status on survival due to cancer-specific and competing mortality causes. Methods: Data were obtained from the population-based Queensland Cancer Registry on 176,050 incident cases of ten leading cancers diagnosed in Queensland (Australia) from 1996 to 2012. Flexible parametric competing-risks models were used to estimate cause-specific hazards and cumulative probabilities of death, adjusting for age, stage (breast, colorectal and melanoma only) and stratifying by sex. Results: Both unpartnered males and females had higher total cumulative probability of death than their partnered counterparts for each site. For example, the survival disadvantage for unpartnered males ranged from 3% to 30% with higher mortality burden from both the primary cancer and competing mortality causes. The cause-specific age-adjusted hazard ratios were also consistent with patients without a partner having increased mortality risk although the specific effect varied by site, sex and cause of death. For all combined sites, unpartnered males had a 46%, 18% and 44% higher risk of cancer-specific, other cancer and non-cancer mortality respectively with similar patterns for females. The higher mortality risk persisted after adjustment for stage. Conclusions: It is important to better understand the mechanisms by which having a partner is beneficial following a cancer diagnosis, so that this can inform improvements in cancer management for all people with cancer. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:16 / 23
页数:8
相关论文
共 50 条
  • [41] Disentangled and reassociated deep representation for dynamic survival analysis with competing risks
    Cui, Chang
    Tang, Yongqiang
    Zhang, Wensheng
    KNOWLEDGE-BASED SYSTEMS, 2025, 315
  • [42] Trends in survival from myeloma, 1990–2015: a competing risks analysis
    Mary Jane Sneyd
    Andrew R. Gray
    Ian M. Morison
    BMC Cancer, 21
  • [43] Tree-based models for survival data with competing risks
    Kretowska, Malgorzata
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2018, 159 : 185 - 198
  • [44] Impact of Marital Status on Survival Among Women With Invasive Cervical Cancer: Analysis of Population-Based Surveillance, Epidemiology, and End Results Data
    Patel, Mehul K.
    Patel, Divya A.
    Lu, Mei
    Elshaikh, Mohamed A.
    Munkarah, Adnan
    Movsas, Benjamin
    JOURNAL OF LOWER GENITAL TRACT DISEASE, 2010, 14 (04) : 329 - 338
  • [45] A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data
    Haile, S. R.
    Jeong, J. -H.
    Chen, X.
    Cheng, Y.
    JOURNAL OF APPLIED STATISTICS, 2016, 43 (12) : 2239 - 2253
  • [46] Marital status and survival in patients with rectal cancer: A population-based STROBE cohort study
    Li, Zhuyue
    Wang, Kang
    Zhang, Xuemei
    Wen, Jin
    MEDICINE, 2018, 97 (18)
  • [47] The effect of marital status on the survival of patients with bladder urothelial carcinoma A SEER database analysis
    Niu, Quan
    Lu, Youyi
    Wu, Yinxia
    Xu, Shigao
    Shi, Qun
    Huang, Tianbao
    Zhou, Guangchen
    Gu, Xiao
    Yu, Junjie
    MEDICINE, 2018, 97 (29)
  • [48] Survival after nephroureterectomy for upper tract urothelial carcinoma: A population-based competing-risks analysis
    Gandaglia, Giorgio
    Bianchi, Marco
    Quoc-Dien Trinh
    Becker, Andreas
    Larouche, Alexandre
    Abdollah, Firas
    Roghmann, Florian
    Tian, Zhe
    Shariat, Shahrokh F.
    Briganti, Alberto
    Montorsi, Francesco
    Karakiewicz, Pierre I.
    Sun, Maxine
    INTERNATIONAL JOURNAL OF UROLOGY, 2014, 21 (03) : 249 - 256
  • [49] A matched-pair analysis on survival and response rates between German and non-German cancer patients treated at a Comprehensive Cancer Center
    Budde, Marie K.
    Kuhn, Walther
    Keyver-Paik, Mignon-Denise
    Bootz, Friedrich
    Kalff, Joerg C.
    Mueller, Stefan C.
    Bieber, Thomas
    Brossart, Peter
    Vatter, Hartmut
    Herrlinger, Ulrich
    Wirtz, Dieter C.
    Schild, Hans H.
    Kristiansen, Glen
    Pietsch, Thorsten
    Aretz, Stefan
    Geiser, Franziska
    Radbruch, Lukas
    Reich, Rudolf H.
    Strassburg, Christian P.
    Skowasch, Dirk
    Essler, Markus
    Ernstmann, Nicole
    Landsberg, Jennifer
    Funke, Benjamin
    Schmidt-Wolf, Ingo G. H.
    BMC CANCER, 2019, 19 (01) : 1024
  • [50] Competing risks analysis of the effect of local residual tumour on recurrence and cancer-specific death after resection of colorectal cancer: implications for staging
    Newland, Ronald C.
    Chan, Charles
    Chapuis, Pierre H.
    Keshava, Anil
    Rickard, Matthew J. F. X.
    Young, Christopher J.
    Dent, Owen F.
    PATHOLOGY, 2018, 50 (06) : 600 - 606