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The effect of marital status on patients with laryngeal squamous cell carcinoma: using data from the SEER database

Published on Dec. 25, 2022Total Views: 4221 timesTotal Downloads: 1518 timesDownloadMobile

Author: Gao-Ya WANG 1 Si-Rong ZHU 2 Min-Lan YANG 1 Xiao-Ping MING 1 Xiu-Ping YANG 1 Xiong CHEN 1

Affiliation: 1. Department of Otorhinolaryngology Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China 2. Department of Occupational and Environmental Health, School of Public Health, Wuhan Univer-sity, Wuhan 430071, China

Keywords: Laryngeal squamous cell carcinoma Prognostic factors Marital status Survival analysis SEER database

DOI: 10.12173/j.issn.1004-5511.202202027

Reference: Wang GY, Zhu SR, Yang ML, Ming XP, Yang XP, Chen X. The effect of marital status on patients with laryngeal squamous cell carcinoma: using data from the SEER database[J]. Yixue Xinzhi Zazhi, 2022, 32(6): 424-433. DOI: 10.12173/j.issn.1004-5511.202202027.[Article in Chinese]

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Abstract

Objective  To explore the impact of marital status on survival outcomes of patients diagnosed with laryngeal squa-mous cell carcinoma (LSCC). 

Method  Clinical characteristics, basic personal information, and survival follow-up data of patients with LSCC regis-tered from 2004 to 2015 were extracted from the SEER database. Patients were divided according to their marital status into married and unmarried groups. In order to balance the differences between groups, a 1:1 propensity matching analysis (PSM) was performed using the MatchIt package in R software.  5-years overall survival (OS) curves and 5-years cancer-specific survival (CSS) curves were plotted before and after PSM using the Kaplan-Meier method, and the correlation between marital status and the prognosis of LSCC patients was analyzed and tested by the log-rank method. A univariate and multivariate analysis of patient CSS was then performed using the Cox proportional risk model. 

Results A total of 19,042 patients were included in this study. The sample size after PSM matching was 14,400. Kaplan Meier analysis showed that the 5-year OS rate (57% vs. 47%) and median OS survival time (87 months vs. 53 months) and the 5-year CSS rate (69% vs. 62%) of LSCC patients in the married group was higher than that in the un-married group (P < 0.05). Cox proportional risk model showed that unmarried status was significantly correlated with poor prognosis for LSCC patients. Unmarried status may be a risk factors for poor prognosis of CSS in LSCC patients [HR=1.35, 95%CI(1.27, 1.43), P < 0.05]. 

Conclusion  The 5-years CSS and 5-years OS rates of LSCC patients in the married group were significantly higher than those in the unmarried group, marital status was an independent prognostic factor for LCSS patients.

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