Xue-Yuan Liu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xue-Yuan Liu has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
Shuai Yang
Department of Ophthalmology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
2 shared publicationsJun-Chao Xie
Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
1 shared publicationJun‐Chao Xie
Department of Neurology Shanghai Tenth People's Hospital Tongji University School of Medicine Shanghai China
1 shared publication- Yan-Xin Zhao
Department of Neurology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
1 shared publication - Yanxin Zhao
Department of Neurology, Shanghai Eighth People’s Hospital, Shanghai, China
1 shared publication
Latest Publications
- 1 October 2018
- Published by Elsevier in Journal of Clinical Neuroscience
- Vol. 56, 79-87
Marital status is associated with survival of patients with astrocytoma
- 1 October 2018
- Published by Elsevier in Journal of Clinical Neuroscience
- Vol. 56, 79-87
Marital status is associated with survival of patients with astrocytoma
- Open Access
- 15 July 2018
- Published by Wiley in Cancer Medicine
- Vol. 7 (8) , 3722-3742
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 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.
- 15 July 2018
- Published by Wiley in Cancer Medicine
- Vol. 7 (8) , 3722-3742
Open AccessEffect 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 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.