Dataset Information

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study.

ABSTRACT:

Objective

This study investigated the impact of marital status on cancer-caused specific mortality among acute myeloid leukemia (AML) patients in the United States.

Methods

We used the Surveillance, Epidemiology and End Results program to identify 50,825 patients who had their clinical and follow-up information available and were diagnosed for AML between the years 1988 and 2015. The univariate and multivariable Cox regression models were used to analyze the patient data, and to minimize the group differences due to covariates between groups, a 1:1 propensity score matching was used in subsequent subgroup analysis.

Results

Our study demonstrated that married patients were less likely to die due to AML after adjusting for demographic and clinicopathological variables, than patients with variable unmarried status. Further analysis indicated that widowed, divorced and never married status correlated with poor cancer-cause specific survival than being married in almost all subgroups after being adjusted for the aforementioned variables (P<0.05). However, the difference between married and separated was not apparent. Moreover, similar survival analysis results were also observed in the 1:1 matched subgroups of marital status, but they displayed varied prognostic factors between them. The association of survival benefit with marriage in AML was consistent with the published survival benefit of conventional therapeutic approaches.

Conclusion

Overall, our study concluded that unmarried AML patients were at greater risk of cancer-specific mortality than married, and thus indicated that physicians should focus on health care strategies that target social support, in order to reduce the cancer-specific mortality in unmarried patients.

SUBMITTER: Zheng Z

PROVIDER: S-EPMC5617539 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study.

Zheng Zhuojun Z Zhu Yuandong Y Li Xiaodong X Hu Wenwei W Jiang Jingting J

Oncotarget 20170409 37

<h4>Objective</h4>This study investigated the impact of marital status on cancer-caused specific mortality among acute myeloid leukemia (AML) patients in the United States.<h4>Methods</h4>We used the Surveillance, Epidemiology and End Results program to identify 50,825 patients who had their clinical and follow-up information available and were diagnosed for AML between the years 1988 and 2015. The univariate and multivariable Cox regression models were used to analyze the patient data, and to m ...[more]

PMID: 28977979

Similar Datasets

Project description:Importance:While the adverse association between smoking and head and neck squamous cell carcinoma (HNSCC) survival has been well described, there are also inconclusive studies and those that report no significant changes in HNSCC survival and overall mortality due to smoking. There is also a lack of studies investigating the association of marital status on smoking status at diagnosis for patients with HNSCC. Objective:To examine the association between patient smoking status at HNSCC diagnosis and survival and the association between marital status and smoking in these patients. Design, Setting, and Participants:This retrospective cohort study was conducted by querying the Saint Louis University Hospital Tumor Registry for adults with a diagnosis of HNSCC and treated at the university academic medical center between 1997 and 2012; 463 confirmed cases were analyzed. Main Outcomes and Measures:Cox proportional hazards regression analysis was used to evaluate association of survival with smoking status at diagnosis and covariates. A multivariate logistic regression model was used to assess whether marital status was associated with smoking at diagnosis adjusting for covariates. Results:Of the 463 total patients (338 men, 125 women), 92 (19.9%) were aged 18 to 49 years; 233 (50.3%) were aged 50 to 65 years; and 138 (29.8%) were older than 65 years. Overall, 56.2% of patients were smokers at diagnosis (n?=?260); 49.6% were married (n?=?228); and the mortality rate was 54.9% (254 died). A majority of patients were white (81.0%; n?=?375). Smokers at diagnosis were more likely to be younger (ie, <65 years), unmarried, and to drink alcohol. We found a statistically significant difference in median survival time between smokers (89 months; 95% CI, 65-123 months) and nonsmokers at diagnosis (208 months; 95% CI, 129-235 months). In the adjusted Cox proportional hazards model, patients who were smokers at diagnosis were almost twice as likely to die during the study period as nonsmokers (hazard ratio, 1.98; 95% CI, 1.42-2.77). In the multivariate logistic regression analysis, unmarried patients were 76% more likely to use tobacco than married patients (adjusted odds ratio, 1.76; 95% CI, 1.08-2.84). Conclusions and Relevance:Smokers were almost twice as likely as nonsmokers to die during the study period. We also found that those who were married were less likely to be smokers at diagnosis. Our study suggests that individualized cancer care should incorporate social support and management of cancer risk behaviors.

Dataset Information

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study.

Objective

Methods

Results

Conclusion

Publications

Impact of marital status during diagnosis on cancer-caused specific survival in acute myeloid leukemia patients: a case-control and population-based study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure