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Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status

The relationship between marital status and glioblastoma multiforme (GBM) has not been addressed in depth. Here, we aimed to investigate the association between marital status and survival in GBM. We searched the Surveillance, Epidemiology, and End Results (SEER) database and extracted the data of e...

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Autores principales: Xie, Jun‐Chao, Yang, Shuai, Liu, Xue‐Yuan, Zhao, Yan‐Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089174/
https://www.ncbi.nlm.nih.gov/pubmed/30009575
http://dx.doi.org/10.1002/cam4.1688
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author Xie, Jun‐Chao
Yang, Shuai
Liu, Xue‐Yuan
Zhao, Yan‐Xin
author_facet Xie, Jun‐Chao
Yang, Shuai
Liu, Xue‐Yuan
Zhao, Yan‐Xin
author_sort Xie, Jun‐Chao
collection PubMed
description The relationship between marital status and glioblastoma multiforme (GBM) has not been addressed in depth. Here, we aimed to investigate the association between marital status and survival in GBM. We searched the Surveillance, Epidemiology, and End Results (SEER) database and extracted the data of eligible patients diagnosed with GBM after 2004. Marital status was classified as married, divorced/separated, widowed, and single. A Kaplan‐Meier test was conducted to compare the survival curves of different groups. Multivariate Cox regression was performed to evaluate overall survival (OS) and cause‐specific survival (CSS) in different groups. Subgroup analysis was applied according to demographics, typical education and income levels in the locale, and insurance status. A total of 30 767 eligible patients were included. The median OS values were 9, 7, 3, 9 months in married, divorced/separated, widowed, and single patients, respectively. After adjustment for other covariates, married patients had better OS and CSS than other patients had. In addition to marital status, demographic factors, disease progression factors, local educational level, and insurance status were also associated with survival in GBM. Furthermore, subgroup analyses revealed the protective effect of marriage in most of the comparisons. Notably, the protective effect of marriage becomes more and more apparent as time goes on. The advantageous effect of marriage on GBM survival is especially prominent in patients who are male, older than 60 years of age, White, or living in middle‐income counties. In conclusion, marital status is an independent prognostic factor for GBM.
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spelling pubmed-60891742018-08-17 Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status Xie, Jun‐Chao Yang, Shuai Liu, Xue‐Yuan Zhao, Yan‐Xin Cancer Med Clinical Cancer Research The relationship between marital status and glioblastoma multiforme (GBM) has not been addressed in depth. Here, we aimed to investigate the association between marital status and survival in GBM. We searched the Surveillance, Epidemiology, and End Results (SEER) database and extracted the data of eligible patients diagnosed with GBM after 2004. Marital status was classified as married, divorced/separated, widowed, and single. A Kaplan‐Meier test was conducted to compare the survival curves of different groups. Multivariate Cox regression was performed to evaluate overall survival (OS) and cause‐specific survival (CSS) in different groups. Subgroup analysis was applied according to demographics, typical education and income levels in the locale, and insurance status. A total of 30 767 eligible patients were included. The median OS values were 9, 7, 3, 9 months in married, divorced/separated, widowed, and single patients, respectively. After adjustment for other covariates, married patients had better OS and CSS than other patients had. In addition to marital status, demographic factors, disease progression factors, local educational level, and insurance status were also associated with survival in GBM. Furthermore, subgroup analyses revealed the protective effect of marriage in most of the comparisons. Notably, the protective effect of marriage becomes more and more apparent as time goes on. The advantageous effect of marriage on GBM survival is especially prominent in patients who are male, older than 60 years of age, White, or living in middle‐income counties. In conclusion, marital status is an independent prognostic factor for GBM. John Wiley and Sons Inc. 2018-07-15 /pmc/articles/PMC6089174/ /pubmed/30009575 http://dx.doi.org/10.1002/cam4.1688 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Xie, Jun‐Chao
Yang, Shuai
Liu, Xue‐Yuan
Zhao, Yan‐Xin
Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title_full Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title_fullStr Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title_full_unstemmed Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title_short Effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
title_sort effect of marital status on survival in glioblastoma multiforme by demographics, education, economic factors, and insurance status
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6089174/
https://www.ncbi.nlm.nih.gov/pubmed/30009575
http://dx.doi.org/10.1002/cam4.1688
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