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The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study

BACKGROUND: Previous studies had demonstrated that marital status was an independent prognostic factor in multiple cancers. However, the impact of marital status on non-small cell lung cancer (NSCLC) patients was still highly controversial. METHOD: All NSCLC patients diagnosed between 2010–2016 were...

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Autores principales: Zhao, Dechang, Zhang, Rusi, Yang, Longjun, Huang, Zirui, Lin, Yongbin, Wen, Yingsheng, Wang, Gongming, Guo, Guangran, Zhang, Lanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267371/
https://www.ncbi.nlm.nih.gov/pubmed/37324146
http://dx.doi.org/10.3389/fmed.2023.1136877
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author Zhao, Dechang
Zhang, Rusi
Yang, Longjun
Huang, Zirui
Lin, Yongbin
Wen, Yingsheng
Wang, Gongming
Guo, Guangran
Zhang, Lanjun
author_facet Zhao, Dechang
Zhang, Rusi
Yang, Longjun
Huang, Zirui
Lin, Yongbin
Wen, Yingsheng
Wang, Gongming
Guo, Guangran
Zhang, Lanjun
author_sort Zhao, Dechang
collection PubMed
description BACKGROUND: Previous studies had demonstrated that marital status was an independent prognostic factor in multiple cancers. However, the impact of marital status on non-small cell lung cancer (NSCLC) patients was still highly controversial. METHOD: All NSCLC patients diagnosed between 2010–2016 were selected from the Surveillance, Epidemiology and End Results (SEER) database. To control the confounding effect of related clinicopathological characteristics, propensity score matching (PSM) was conducted between married and unmarried groups. In addition, independent prognostic clinicopathological factors were evaluated via Cox proportional hazard regression. Moreover, nomograms were established based on the clinicopathological characteristics, and the predictive accuracy was assessed by calibration curves. Furthermore, decision curve analysis (DCA) was used to determine the clinical benefits. RESULTS: In total, 58,424 NSCLC patients were enrolled according to the selection criteria. After PSM, 20,148 patients were selected into each group for further analysis. The married group consistently demonstrated significantly better OS and CSS compared to unmarried group [OS median survival (95% CI): 25 (24–26) vs. 22 (21–23) months, p < 0.001; CSS median survival (95% CI): 31 (30–32) vs. 27 (26–28) months, p < 0.001]. Moreover, single patients were associated with the worst OS [median survival (95% CI): 20 (19–22) months] and CSS [median survival (95%CI): 24 (23–25) months] among unmarried subgroups. Besides, unmarried patients had a significantly worse prognosis compared to married patients in both univariate and multivariate Cox proportional hazard regressions. Furthermore, married group was associated with better survival in most subgroups. To predict the 1-, 3- and 5-year OS and CSS probabilities, nomograms were established based on age, race, sex, gender, marital status, histology, grade, TNM stage. The C-index for OS and CSS were 0.759 and 0.779. And the calibration curves showed significant agreement between predictive risk and the observed probability. DCA indicated nomograms had consistently better predict performance. CONCLUSION: This study demonstrated that unmarried NSCLC patients were associated with significantly worse OS and CSS compared to married NSCLC patients. Therefore, unmarried patients need not only closer surveillance, but also more social and family support, which may improve patients’ adherence and compliance, and eventually improve the survival.
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spelling pubmed-102673712023-06-15 The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study Zhao, Dechang Zhang, Rusi Yang, Longjun Huang, Zirui Lin, Yongbin Wen, Yingsheng Wang, Gongming Guo, Guangran Zhang, Lanjun Front Med (Lausanne) Medicine BACKGROUND: Previous studies had demonstrated that marital status was an independent prognostic factor in multiple cancers. However, the impact of marital status on non-small cell lung cancer (NSCLC) patients was still highly controversial. METHOD: All NSCLC patients diagnosed between 2010–2016 were selected from the Surveillance, Epidemiology and End Results (SEER) database. To control the confounding effect of related clinicopathological characteristics, propensity score matching (PSM) was conducted between married and unmarried groups. In addition, independent prognostic clinicopathological factors were evaluated via Cox proportional hazard regression. Moreover, nomograms were established based on the clinicopathological characteristics, and the predictive accuracy was assessed by calibration curves. Furthermore, decision curve analysis (DCA) was used to determine the clinical benefits. RESULTS: In total, 58,424 NSCLC patients were enrolled according to the selection criteria. After PSM, 20,148 patients were selected into each group for further analysis. The married group consistently demonstrated significantly better OS and CSS compared to unmarried group [OS median survival (95% CI): 25 (24–26) vs. 22 (21–23) months, p < 0.001; CSS median survival (95% CI): 31 (30–32) vs. 27 (26–28) months, p < 0.001]. Moreover, single patients were associated with the worst OS [median survival (95% CI): 20 (19–22) months] and CSS [median survival (95%CI): 24 (23–25) months] among unmarried subgroups. Besides, unmarried patients had a significantly worse prognosis compared to married patients in both univariate and multivariate Cox proportional hazard regressions. Furthermore, married group was associated with better survival in most subgroups. To predict the 1-, 3- and 5-year OS and CSS probabilities, nomograms were established based on age, race, sex, gender, marital status, histology, grade, TNM stage. The C-index for OS and CSS were 0.759 and 0.779. And the calibration curves showed significant agreement between predictive risk and the observed probability. DCA indicated nomograms had consistently better predict performance. CONCLUSION: This study demonstrated that unmarried NSCLC patients were associated with significantly worse OS and CSS compared to married NSCLC patients. Therefore, unmarried patients need not only closer surveillance, but also more social and family support, which may improve patients’ adherence and compliance, and eventually improve the survival. Frontiers Media S.A. 2023-06-01 /pmc/articles/PMC10267371/ /pubmed/37324146 http://dx.doi.org/10.3389/fmed.2023.1136877 Text en Copyright © 2023 Zhao, Zhang, Yang, Huang, Lin, Wen, Wang, Guo and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Zhao, Dechang
Zhang, Rusi
Yang, Longjun
Huang, Zirui
Lin, Yongbin
Wen, Yingsheng
Wang, Gongming
Guo, Guangran
Zhang, Lanjun
The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title_full The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title_fullStr The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title_full_unstemmed The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title_short The independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
title_sort independent prognostic effect of marital status on non-small cell lung cancer patients: a population-based study
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267371/
https://www.ncbi.nlm.nih.gov/pubmed/37324146
http://dx.doi.org/10.3389/fmed.2023.1136877
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