Education level as a predictor of survival in patients with multiple myeloma

Abstract 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...

Full description

Bibliographic Details
Main Authors: Limei Xu, Xiuju Wang, Xueyi Pan, Xiaotao Wang, Qing Wang, Bingyi Wu, Jiahui Cai, Ying Zhao, Lijuan Chen, Wuping Li, Juan Li
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-020-07178-5
_version_ 1818428818516344832
author Limei Xu
Xiuju Wang
Xueyi Pan
Xiaotao Wang
Qing Wang
Bingyi Wu
Jiahui Cai
Ying Zhao
Lijuan Chen
Wuping Li
Juan Li
author_facet Limei Xu
Xiuju Wang
Xueyi Pan
Xiaotao Wang
Qing Wang
Bingyi Wu
Jiahui Cai
Ying Zhao
Lijuan Chen
Wuping Li
Juan Li
author_sort Limei Xu
collection DOAJ
description Abstract 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.
first_indexed 2024-12-14T15:07:40Z
format Article
id doaj.art-57ac689fdf57470ebfcb661af5c4e506
institution Directory Open Access Journal
issn 1471-2407
language English
last_indexed 2024-12-14T15:07:40Z
publishDate 2020-08-01
publisher BMC
record_format Article
series BMC Cancer
spelling doaj.art-57ac689fdf57470ebfcb661af5c4e5062022-12-21T22:56:40ZengBMCBMC Cancer1471-24072020-08-0120111010.1186/s12885-020-07178-5Education level as a predictor of survival in patients with multiple myelomaLimei Xu0Xiuju Wang1Xueyi Pan2Xiaotao Wang3Qing Wang4Bingyi Wu5Jiahui Cai6Ying Zhao7Lijuan Chen8Wuping Li9Juan Li10Department of Hematology, The First Affiliated Hospital of Sun Yat-sen UniversityDepartment of Hematology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen UniversityDepartment of Hematology, The First Affiliated Hospital of Guangdong Pharmaceutical UniversityDepartment of Hematology, The Second Affiliated Hospital of Guilin Medical UniversityDepartment of Hematology, Guizhou Provincial People’s HospitalDepartment of Hematology, Shunde Hospital of Southern Medical UniversityDepartment of Hematology, Shunde Hospital of Southern Medical UniversityDepartment of Hematology, First People’s Hospital of FoshanDepartment of Hematology, The First Affiliated Hospital With Nanjing Medical UniversityDepartment of Internal Medicine, Jiangxi Tumor HospitalDepartment of Hematology, The First Affiliated Hospital of Sun Yat-sen UniversityAbstract 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.http://link.springer.com/article/10.1186/s12885-020-07178-5Education levelSociodemographic statusMultiple myelomaSurvival prognosis
spellingShingle Limei Xu
Xiuju Wang
Xueyi Pan
Xiaotao Wang
Qing Wang
Bingyi Wu
Jiahui Cai
Ying Zhao
Lijuan Chen
Wuping Li
Juan Li
Education level as a predictor of survival in patients with multiple myeloma
BMC Cancer
Education level
Sociodemographic status
Multiple myeloma
Survival prognosis
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 Education level
Sociodemographic status
Multiple myeloma
Survival prognosis
url http://link.springer.com/article/10.1186/s12885-020-07178-5
work_keys_str_mv AT limeixu educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT xiujuwang educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT xueyipan educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT xiaotaowang educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT qingwang educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT bingyiwu educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT jiahuicai educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT yingzhao educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT lijuanchen educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT wupingli educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma
AT juanli educationlevelasapredictorofsurvivalinpatientswithmultiplemyeloma