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Education level as a predictor of survival in patients with multiple myeloma
BACKGROUND: Disparities in multiple myeloma (MM) prognosis based on sociodemographic factors may exist. We investigated whether education level at diagnosis influenced Chinese MM patient outcomes. METHODS: We performed a multicenter retrospective analysis of data from 773 MM patients across 9 center...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414648/ https://www.ncbi.nlm.nih.gov/pubmed/32770980 http://dx.doi.org/10.1186/s12885-020-07178-5 |
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author | Xu, Limei Wang, Xiuju Pan, Xueyi Wang, Xiaotao Wang, Qing Wu, Bingyi Cai, Jiahui Zhao, Ying Chen, Lijuan Li, Wuping Li, Juan |
author_facet | Xu, Limei Wang, Xiuju Pan, Xueyi Wang, Xiaotao Wang, Qing Wu, Bingyi Cai, Jiahui Zhao, Ying Chen, Lijuan Li, Wuping Li, Juan |
author_sort | Xu, Limei |
collection | PubMed |
description | BACKGROUND: Disparities in multiple myeloma (MM) prognosis based on sociodemographic factors may exist. We investigated whether education level at diagnosis influenced Chinese MM patient outcomes. METHODS: We performed a multicenter retrospective analysis of data from 773 MM patients across 9 centers in China from 2006 to 2019. Sociodemographic and clinical factors at diagnosis and treatment regimens were recorded, and univariate and multivariate analyses were performed. RESULTS: Overall, 69.2% of patients had low education levels. Patients with low education levels differed from those with high education levels in that they were more likely to be older, and a higher proportion lived in rural areas, were unemployed, had lower annual incomes and lacked insurance. Additionally, compared to patients with high education levels, patients with low education levels had a higher proportion of international staging system (ISS) stage III classification and elevated lactate dehydrogenase (LDH) levels and underwent transplantation less often. Patients with high education levels had a median progression-free survival (PFS) of 67.50 (95% confidence interval (CI): 51.66–83.39) months, which was better than that of patients with low education levels (30.60 months, 95% CI: 27.38–33.82, p < 0.001). Similarly, patients with high education levels had a median overall survival (OS) of 122.27 (95% CI: 117.05–127.49) months, which was also better than that of patients with low education levels (58.83 months, 95% CI: 48.87–62.79, p < 0.001). In the multivariable analysis, patients with high education levels had lower relapse rates and higher survival rates than did those with low education level in terms of PFS and OS (hazard ratio (HR) = 0.50 [95% CI: 0.34–0.72], p < 0.001; HR = 0.32 [0.19–0.56], p < 0.001, respectively). CONCLUSIONS: Low education levels may independently predict poor survival in MM patients in China. |
format | Online Article Text |
id | pubmed-7414648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74146482020-08-10 Education level as a predictor of survival in patients with multiple myeloma Xu, Limei Wang, Xiuju Pan, Xueyi Wang, Xiaotao Wang, Qing Wu, Bingyi Cai, Jiahui Zhao, Ying Chen, Lijuan Li, Wuping Li, Juan BMC Cancer Research Article BACKGROUND: Disparities in multiple myeloma (MM) prognosis based on sociodemographic factors may exist. We investigated whether education level at diagnosis influenced Chinese MM patient outcomes. METHODS: We performed a multicenter retrospective analysis of data from 773 MM patients across 9 centers in China from 2006 to 2019. Sociodemographic and clinical factors at diagnosis and treatment regimens were recorded, and univariate and multivariate analyses were performed. RESULTS: Overall, 69.2% of patients had low education levels. Patients with low education levels differed from those with high education levels in that they were more likely to be older, and a higher proportion lived in rural areas, were unemployed, had lower annual incomes and lacked insurance. Additionally, compared to patients with high education levels, patients with low education levels had a higher proportion of international staging system (ISS) stage III classification and elevated lactate dehydrogenase (LDH) levels and underwent transplantation less often. Patients with high education levels had a median progression-free survival (PFS) of 67.50 (95% confidence interval (CI): 51.66–83.39) months, which was better than that of patients with low education levels (30.60 months, 95% CI: 27.38–33.82, p < 0.001). Similarly, patients with high education levels had a median overall survival (OS) of 122.27 (95% CI: 117.05–127.49) months, which was also better than that of patients with low education levels (58.83 months, 95% CI: 48.87–62.79, p < 0.001). In the multivariable analysis, patients with high education levels had lower relapse rates and higher survival rates than did those with low education level in terms of PFS and OS (hazard ratio (HR) = 0.50 [95% CI: 0.34–0.72], p < 0.001; HR = 0.32 [0.19–0.56], p < 0.001, respectively). CONCLUSIONS: Low education levels may independently predict poor survival in MM patients in China. BioMed Central 2020-08-08 /pmc/articles/PMC7414648/ /pubmed/32770980 http://dx.doi.org/10.1186/s12885-020-07178-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Xu, Limei Wang, Xiuju Pan, Xueyi Wang, Xiaotao Wang, Qing Wu, Bingyi Cai, Jiahui Zhao, Ying Chen, Lijuan Li, Wuping Li, Juan Education level as a predictor of survival in patients with multiple myeloma |
title | Education level as a predictor of survival in patients with multiple myeloma |
title_full | Education level as a predictor of survival in patients with multiple myeloma |
title_fullStr | Education level as a predictor of survival in patients with multiple myeloma |
title_full_unstemmed | Education level as a predictor of survival in patients with multiple myeloma |
title_short | Education level as a predictor of survival in patients with multiple myeloma |
title_sort | education level as a predictor of survival in patients with multiple myeloma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414648/ https://www.ncbi.nlm.nih.gov/pubmed/32770980 http://dx.doi.org/10.1186/s12885-020-07178-5 |
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