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Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study

We predicted that marital status may have predictive effects on young adult patients with cancer. A total of 37,028 young adult patients (20–39 years old) newly diagnosed with lymphoma by positive histology between 1988 and 2015 were collected from the Surveillance, Epidemiology, and End Results dat...

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Autores principales: Zou, Gaorui, Liu, Jinmin, Xiang, Zhenxian, Zhang, Lin, Zhu, Degang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489250/
https://www.ncbi.nlm.nih.gov/pubmed/37682153
http://dx.doi.org/10.1097/MD.0000000000034416
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author Zou, Gaorui
Liu, Jinmin
Xiang, Zhenxian
Zhang, Lin
Zhu, Degang
author_facet Zou, Gaorui
Liu, Jinmin
Xiang, Zhenxian
Zhang, Lin
Zhu, Degang
author_sort Zou, Gaorui
collection PubMed
description We predicted that marital status may have predictive effects on young adult patients with cancer. A total of 37,028 young adult patients (20–39 years old) newly diagnosed with lymphoma by positive histology between 1988 and 2015 were collected from the Surveillance, Epidemiology, and End Results database. Patients were separated into married and unmarried groups. Multivariate regression was utilized to explore the association between marital status and overall survival, and propensity score matching and an inverse probability of treatment weighting were applied to corroborate our results. Among 37,028 eligible lymphoma patients, 12,827 married patients, and 12,827 unmarried patients, had equal propensity scores and were eventually recruited in this research. Moreover, married patients reported enhanced 10-year overall survival in the original group and the matched cohort. The multivariable Cox regression analysis revealed a vital advantageous influence of married status on overall mortality, with an adjusted hazard ratio (HR) of 0.54 (95% CI, 0.51–0.57, P < .001) and the association remained robust after propensity score matching (HR, 0.53, 95% CI 0.51–0.55, P < .001) and inverse probability of treatment weighting (HR, 0.53, 95% CI 0.51–0.56, P < .001) after adjusting for confounding factors. Marital status had predictive significance for overall survival in young adult patients with lymphoma.
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spelling pubmed-104892502023-09-09 Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study Zou, Gaorui Liu, Jinmin Xiang, Zhenxian Zhang, Lin Zhu, Degang Medicine (Baltimore) Research Article: Observational Study We predicted that marital status may have predictive effects on young adult patients with cancer. A total of 37,028 young adult patients (20–39 years old) newly diagnosed with lymphoma by positive histology between 1988 and 2015 were collected from the Surveillance, Epidemiology, and End Results database. Patients were separated into married and unmarried groups. Multivariate regression was utilized to explore the association between marital status and overall survival, and propensity score matching and an inverse probability of treatment weighting were applied to corroborate our results. Among 37,028 eligible lymphoma patients, 12,827 married patients, and 12,827 unmarried patients, had equal propensity scores and were eventually recruited in this research. Moreover, married patients reported enhanced 10-year overall survival in the original group and the matched cohort. The multivariable Cox regression analysis revealed a vital advantageous influence of married status on overall mortality, with an adjusted hazard ratio (HR) of 0.54 (95% CI, 0.51–0.57, P < .001) and the association remained robust after propensity score matching (HR, 0.53, 95% CI 0.51–0.55, P < .001) and inverse probability of treatment weighting (HR, 0.53, 95% CI 0.51–0.56, P < .001) after adjusting for confounding factors. Marital status had predictive significance for overall survival in young adult patients with lymphoma. Lippincott Williams & Wilkins 2023-09-08 /pmc/articles/PMC10489250/ /pubmed/37682153 http://dx.doi.org/10.1097/MD.0000000000034416 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Research Article: Observational Study
Zou, Gaorui
Liu, Jinmin
Xiang, Zhenxian
Zhang, Lin
Zhu, Degang
Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title_full Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title_fullStr Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title_full_unstemmed Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title_short Marital status independently predicts the overall survival in young adult patients with lymphoma: A population-based, propensity-matched study
title_sort marital status independently predicts the overall survival in young adult patients with lymphoma: a population-based, propensity-matched study
topic Research Article: Observational Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10489250/
https://www.ncbi.nlm.nih.gov/pubmed/37682153
http://dx.doi.org/10.1097/MD.0000000000034416
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