The influence of marital status on the survival of patients with Hodgkin lymphoma
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Fangfang Wang1,*, Xiaoyan Xie1,*, Xiaoming Yang2, Guoqing Jiang3 and Jian Gu1
1Department of Hematology, Clinical Medical College of Yangzhou University, Subei People’s Hospital of Jiangsu Province, Yangzhou, China
2Medical Department, Clinical Medical College of Yangzhou University, Subei People’s Hospital of Jiangsu Province, Yangzhou, China
3Department of Hepatobiliary and Pancreatic Surgery, Clinical Medical College of Yangzhou University, Subei People’s Hospital of Jiangsu Province, Yangzhou, China
*These authors have contributed equally to this work
Jian Gu, email: firstname.lastname@example.org
Guoqing Jiang, email: email@example.com
Keywords: Hodgkin lymphoma, marital status, survival analysis, surveillance, epidemiology and end results
Received: February 08, 2017 Accepted: March 21, 2017 Published: April 06, 2017
Marital status is viewed as an independent prognostic factor for survival in various cancers. But, little is known about the relationship between marital status and Hodgkin lymphoma (HL) outcomes. To investigate the impact of marital status on the survival of patients with HL, we identified 37884 cases from 1988 to 2013 in the Surveillance, Epidemiology and End Results (SEER) database. The Kaplan–Meier method and multivariate Cox regression model were used for analyzing the influence of marital status on cause-specific survival (CSS). We found patients in widowed group had a higher proportion of women and a higher incidence of older (>60 years) patients; all of these parameters were found to be statistically significant in within-group comparisons. Marital status was demonstrated to be an independent prognostic factor. Widowed individuals were at greater risk of cancer specific mortality relative to other groups. Similar associations in subgroup analyses were observed according to SEER stage. In conclusion, widowed patients suffered survival disadvantages relative to other groups, and marital status had significant prognostic value in HL.
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