Literature DB >> 33686220

Dynamic changes in marital status and survival in women with breast cancer: a population-based study.

Wu Ding1,2, Guodong Ruan3, Yingli Lin4, Jianming Zhu3, Chuanjian Tu5,6, Zhian Li3,6.   

Abstract

Marital status proved to be an independent prognostic factor for survival in patients with breast cancer. We therefore strove to explore the impact of dynamic changes in marital status on the prognosis of breast cancer patients. We selected patients meeting the eligibility criteria from the Surveillance, Epidemiology, and End Results cancer database. We then used multivariate Cox proportional hazard regression model to analyze the effect of dynamic changes in marital status on the prognosis of overall survival (OS) and breast cancer-specific special survival (BCSS). Compared with the patients in the Single-Single group and the divorced/separated/widowed-divorced/separated/widowed (DSW-DSW) group, patients in the Married-Married group were significantly associated with better BCSS (HR 1.13, 95% CI: 1.03-1.19, P < 0.001; HR 1.19, 95% CI: 1.14-1.25, P < 0.001, respectively) and OS (HR 1.25, 95% CI: 1.20-1.30, P < 0.001; HR 1.49, 95% CI: 1.45-1.54, P < 0.001, respectively). In contrast to the DSW-DSW group, the Single-Single group and the DSW-Married group showed similar BCSS (HR 0.98, 95% CI: 0.92-1.05, P = 0.660; HR 1.06, 95% CI: 0.97-1.15, P = 0.193, respectively) but better OS (HR 1.14, 95% CI: 1.09-1.19, P < 0.001; HR 1.32, 95% CI: 1.25-1.40, P < 0.001, respectively). Compared with the Single-Single group, the Single-Married group showed significantly better BCSS (HR 1.21, 95% CI: 1.07-1.36, P = 0.003) but no difference in OS (HR 1.08, 95% CI: 0.98-1.18, P = 0.102); In contrast to the Married-DSW group, the Married-Married group exhibited better BCSS (HR 1.11, 95% CI: 1.05-1.18, P < 0.001) and OS (HR 1.27, 95% CI: 1.22-1.32, P < 0.001). Our study demonstrated that, regardless of their previous marital status, married patients had a better prognosis than unmarried patients. Moreover, single patients obtained better survival outcomes than DSW patients. Therefore, it is necessary to proactively provide single and DSW individuals with appropriate social and psychological support that would benefit them.

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Year:  2021        PMID: 33686220      PMCID: PMC7940486          DOI: 10.1038/s41598-021-84996-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  34 in total

1.  Does preventive care save money? Health economics and the presidential candidates.

Authors:  Joshua T Cohen; Peter J Neumann; Milton C Weinstein
Journal:  N Engl J Med       Date:  2008-02-14       Impact factor: 91.245

Review 2.  Priorities among effective clinical preventive services: results of a systematic review and analysis.

Authors:  Michael V Maciosek; Ashley B Coffield; Nichol M Edwards; Thomas J Flottemesch; Michael J Goodman; Leif I Solberg
Journal:  Am J Prev Med       Date:  2006-07       Impact factor: 5.043

3.  Marital status, treatment, and survival in patients with glioblastoma multiforme: a population based study.

Authors:  Susan M Chang; Fred G Barker
Journal:  Cancer       Date:  2005-11-01       Impact factor: 6.860

4.  Marital status and optimism score among breast cancer survivors.

Authors:  Lindsay Croft; John Sorkin; Lisa Gallicchio
Journal:  Support Care Cancer       Date:  2014-06-08       Impact factor: 3.603

5.  Delay of adjuvant chemotherapy initiation following breast cancer surgery among elderly women.

Authors:  Dawn L Hershman; Xiaoyan Wang; Russell McBride; Judith S Jacobson; Victor R Grann; Alfred I Neugut
Journal:  Breast Cancer Res Treat       Date:  2006-04-01       Impact factor: 4.872

Review 6.  Associations of social networks with cancer mortality: a meta-analysis.

Authors:  Martin Pinquart; Paul R Duberstein
Journal:  Crit Rev Oncol Hematol       Date:  2009-07-14       Impact factor: 6.312

7.  The effect of marital status on stage, treatment, and survival of cancer patients.

Authors:  J S Goodwin; W C Hunt; C R Key; J M Samet
Journal:  JAMA       Date:  1987-12-04       Impact factor: 56.272

Review 8.  Social support and chronic kidney disease: an update.

Authors:  Scott D Cohen; Tushar Sharma; Kimberly Acquaviva; Rolf A Peterson; Samir S Patel; Paul L Kimmel
Journal:  Adv Chronic Kidney Dis       Date:  2007-10       Impact factor: 3.620

9.  Decision involvement and receipt of mastectomy among racially and ethnically diverse breast cancer patients.

Authors:  Sarah T Hawley; Jennifer J Griggs; Ann S Hamilton; John J Graff; Nancy K Janz; Monica Morrow; Reshma Jagsi; Barbara Salem; Steven J Katz
Journal:  J Natl Cancer Inst       Date:  2009-08-31       Impact factor: 13.506

Review 10.  Breast cancer in young women.

Authors:  Courtney A Gabriel; Susan M Domchek
Journal:  Breast Cancer Res       Date:  2010-10-28       Impact factor: 6.466

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  4 in total

1.  Effect of transoral laser microsurgery vs open partial laryngectomy on the prognosis of patients with early laryngeal carcinoma: propensity score-based analysis.

Authors:  Yuxuan Wu; Qingrong Deng; Xuehan Yi; Shuxin Xiao; Yuying Wu; Xing Zhang; Gongbiao Lin; Zhihong Chen; Baochang He; Fa Chen
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-10-14       Impact factor: 3.236

2.  Sociodemographic Factors and Health Insurance Coverage Are Associated with Invasive Breast Cancer in Tennessee: Appalachian and Non-Appalachian County Comparison.

Authors:  Faustine Williams; Lohuwa Mamudu; Charlotte J Talham; Francisco A Montiel Ishino; Martin Whiteside
Journal:  Womens Health Rep (New Rochelle)       Date:  2022-05-20

3.  The menopause after cancer study (MACS) - A multimodal technology assisted intervention for the management of menopausal symptoms after cancer - Trial protocol of a phase II study.

Authors:  Fionán Donohoe; Yvonne O'Meara; Aidin Roberts; Louise Comerford; Catherine M Kelly; Janice M Walshe; Michelle Peate; Martha Hickey; Donal J Brennan
Journal:  Contemp Clin Trials Commun       Date:  2021-11-11

4.  Development and validation of nomograms for predicting survival in patients with de novo metastatic triple-negative breast cancer.

Authors:  Mao-Shan Chen; Peng-Cheng Liu; Jin-Zhi Yi; Li Xu; Tao He; Hao Wu; Ji-Qiao Yang; Qing Lv
Journal:  Sci Rep       Date:  2022-08-29       Impact factor: 4.996

  4 in total

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