Bibliographic Details
Title: |
Marital status, an independent predictor for survival of gastric neuroendocrine neoplasm patients: a SEER database analysis |
Authors: |
Yu-Jie Zhou, Xiao-Fan Lu, Kenneth I. Zheng, Qi-Wen Wang, Jin-Nan Chen, Qing-Wei Zhang, Fang-Rong Yan, Xiao-Bo Li |
Source: |
BMC Endocrine Disorders, Vol 20, Iss 1, Pp 1-10 (2020) |
Publisher Information: |
BMC, 2020. |
Publication Year: |
2020 |
Collection: |
LCC:Diseases of the endocrine glands. Clinical endocrinology |
Subject Terms: |
Gastric neuroendocrine neoplasms, Marriage, Propensity score matching, Diseases of the endocrine glands. Clinical endocrinology, RC648-665 |
More Details: |
Abstract Background Marital status proves to be an independent prognostic factor in a variety of cancers. However, its prognostic impact on gastric neuroendocrine neoplasms (G-NEN) has not been investigated. Methods We identified 3947 G-NEN patients from the Surveillance, Epidemiology, and End Results (SEER) database. Meanwhile, propensity scores for marital status were used to match 506 unmarried patients with 506 married patients. We used Kaplan–Meier method and multivariate Cox regression to analyse the association between marital status and the overall survival (OS) and G-NEN cause-specific survival (CSS) before matching and after matching. Results Married patients enjoyed better OS and CSS, compared with divorced/separated, single, and widowed patients. Multivariate Cox regression analysis indicated that unmarried status was associated with higher mortality hazards for both OS and CSS among G-NEN patients. Additionally, widowed individuals had the highest risks of overall (adjusted hazard ratio (HR): 1.56, 95% confidence interval (CI): 1.35–1.81, P |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
1472-6823 |
Relation: |
http://link.springer.com/article/10.1186/s12902-020-00565-w; https://doaj.org/toc/1472-6823 |
DOI: |
10.1186/s12902-020-00565-w |
Access URL: |
https://doaj.org/article/1d58e43ad545487a9f609f16b231f5ab |
Accession Number: |
edsdoj.1d58e43ad545487a9f609f16b231f5ab |
Database: |
Directory of Open Access Journals |
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