↓ Skip to main content

Marital status independently predicts non-small cell lung cancer survival: a propensity-adjusted SEER database analysis

Overview of attention for article published in Journal of Cancer Research and Clinical Oncology, November 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
23 Mendeley
Title
Marital status independently predicts non-small cell lung cancer survival: a propensity-adjusted SEER database analysis
Published in
Journal of Cancer Research and Clinical Oncology, November 2019
DOI 10.1007/s00432-019-03084-x
Pubmed ID
Authors

Zongwei Chen, Kanhua Yin, Difan Zheng, Jie Gu, Jizhuang Luo, Shuai Wang, Haiquan Chen

Abstract

Marital status has been demonstrated as an independent prognostic factor in many cancer types. The impact of marital status on non-small cell lung cancer (NSCLC) survival has not been assessed at the population level. Here, we used the surveillance, epidemiology and end results (SEER) database, a US national cancer registry, to address this issue. All patients diagnosed with NSCLC from 2004 to 2009 were identified in the SEER database (version 8.3.2, updated at April 14, 2016). Those with incomplete clinicopathological information were excluded. The tumor, node, metastasis (TNM) staging was based on the criteria of the American Joint Committee on Cancer (AJCC) 6th edition. We used propensity-score matching analysis to balance baseline characteristics between the patients who were married and those who were not married. The impact of marital status on cancer-specific survival was analyzed with Cox proportional-hazards regression. A total of 72, 984 NSCLC patients (41, 095 married patients, 56.3%) were enrolled in this study. After propensity-score matching, 25, 617 patients in the married group were 1:1 matched with patients in the unmarried group. Being unmarried was found to be associated with significantly decreased cancer-specific survival (hazard ratio (HR): 1.142, 95% CI: 1.119-1.166, p < 0.001). Among the unmarried group, patients who were single had worse cancer-specific survival (median survival 12 months, 95% CI: 11.37-12.63 months) than those who were divorced (median survival 15 months, 95% CI: 14.24-15.76 months, p < 0.001) or widowed (median survival 15 months, 95% CI: 14.25-15.76 months, p < 0.001). This study shows that marital status is an independent prognostic factor for cancer-specific survival in NSCLC patients. Patients who were married had better cancer-specific survival compared to the unmarried ones.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Other 2 9%
Student > Master 2 9%
Researcher 2 9%
Student > Bachelor 2 9%
Other 3 13%
Unknown 9 39%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Psychology 2 9%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Environmental Science 1 4%
Other 2 9%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 December 2019.
All research outputs
#21,164,509
of 23,818,521 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#2,053
of 2,632 outputs
Outputs of similar age
#389,731
of 463,247 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#24
of 45 outputs
Altmetric has tracked 23,818,521 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,632 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 463,247 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.