Literature DB >> 27548407

Impact of marital status, insurance status, income, and race/ethnicity on the survival of younger patients diagnosed with multiple myeloma in the United States.

Luciano J Costa1,2, Ilene K Brill3, Elizabeth E Brown4,5.   

Abstract

BACKGROUND: Recent advances in the treatment of multiple myeloma (MM) have been associated with improved survival, predominantly among young and white patients. The authors hypothesized that sociodemographic factors, adjusted for race/ethnicity, influence the survival of younger patients with MM.
METHODS: Overall survival (OS) data were obtained for individuals included in the Surveillance, Epidemiology, and End Results (SEER-18) program who were diagnosed with MM before the age of 65 years between 2007 and 2012. The sociodemographic variables addressed were marital status, insurance status, median household income, and educational achievement in the county of residence. Race/ethnicity was defined as a self-reported construct including Hispanic (regardless of race), non-Hispanic black, non-Hispanic white, and other.
RESULTS: There were 10,161 cases of MM included with a median follow-up of 27 months (range, 0-71 months; 22,179 person-years). Using multivariable Cox proportional hazards analysis, SEER registry; age; male sex; and 3 sociodemographic factors including marital status (other than married), insurance status (uninsured or Medicaid), and county-level income (lowest 2 quartiles), but not race/ethnicity, were found to be associated with an increased risk of death. The 4-year estimated OS rate was 71.1%, 63.2%, 53.4%, and 46.5% (P<.001), respectively, for patients with 0, 1, 2, or 3 adverse sociodemographic factors. Hispanic and non-Hispanic black individuals were found to have more adverse sociodemographic factors and worse OS. However, when the population was stratified by the cumulative number of sociodemographic factors, no consistent association between race/ethnicity and OS was observed after adjustment for confounders.
CONCLUSIONS: Sociodemographic factors that potentially affect care, but not race/ethnicity, were found to influence the survival of younger patients with MM. Cancer 2016;122:3183-90.
© 2016 American Cancer Society. © 2016 American Cancer Society.

Entities:  

Keywords:  ethnicity; income; insurance coverage; marital status; multiple myeloma; race; socioeconomic factors

Mesh:

Year:  2016        PMID: 27548407     DOI: 10.1002/cncr.30183

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  28 in total

1.  Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.

Authors:  Tomi F Akinyemiju; Gurudatta Naik; Kemi Ogunsina; Daniel T Dibaba; Neomi Vin-Raviv
Journal:  Cancer Causes Control       Date:  2018-02-10       Impact factor: 2.506

2.  Recent trends in multiple myeloma incidence and survival by age, race, and ethnicity in the United States.

Authors:  Luciano J Costa; Ilene K Brill; James Omel; Kelly Godby; Shaji K Kumar; Elizabeth E Brown
Journal:  Blood Adv       Date:  2017-01-04

3.  Pre-Transplant Marital Status and Hematopoietic Cell Transplantation Outcomes

Authors:  J Tay; S Beattie; C Bredeson; R Brazauskas; N He; I A Ahmed; M Aljurf; M Askar; Y Atsuta; S Badawy; A Barata; A M Beitinjaneh; N S Bhatt; D Buchbinder; J Cerny; S Ciurea; A D'Souza; J Dalal; N Farhadfar; C O Freytes; S Ganguly; U Gergis; S Gerull; H M Lazarus; T Hahn; S Hong; Y Inamoto; N Khera; T Kindwall-Keller; R T Kamble; J M Knight; Y N Koleva; A Kumar; J Kwok; H S Murthy; R F Olsson; M Angel Diaz-Perez; D Rizzieri; S Seo; S Chhabra; H Schoemans; H C Schouten; A Steinberg; K M Sullivan; J Szer; D Szwajcer; M L Ulrickson; L F Verdonck; B Wirk; W A Wood; J A Yared; W Saber
Journal:  Curr Oncol       Date:  2020-12-01       Impact factor: 3.677

4.  Cardiovascular Outcomes in the Patients With Colorectal Cancer: A Multi-Registry-Based Cohort Study of 197,699 Cases in the Real World.

Authors:  Shilong Zhang; Yan Wang; Pengfei Zhang; Luoyan Ai; Tianshu Liu
Journal:  Front Cardiovasc Med       Date:  2022-06-16

5.  Utilization of agents to prevent skeletal-related events among patients with multiple myeloma: analysis of real-world data.

Authors:  Yi Qian; Debajyoti Bhowmik; Nandita Kachru; Rohini K Hernandez; Paul Cheng; Alexander Liede
Journal:  Support Care Cancer       Date:  2017-10-23       Impact factor: 3.603

6.  Relationship between Insurance Type at Diagnosis and Hepatocellular Carcinoma Survival.

Authors:  Shoshana Adler Jaffe; Orrin Myers; Angela L W Meisner; Charles L Wiggins; Deirdre A Hill; Jean A McDougall
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-12-03       Impact factor: 4.254

7.  The Impact of Socioeconomic Risk Factors on the Survival Outcomes of Patients With Newly Diagnosed Multiple Myeloma: A Cross-analysis of a Population-based Registry and a Tertiary Care Center.

Authors:  Laura A Evans; Ronald Go; Rahma Warsame; Bharat Nandakumar; Francis K Buadi; Angela Dispenzieri; David Dingli; Martha Q Lacy; Suzanne R Hayman; Prashant Kapoor; Nelson Leung; Amie Fonder; Miriam Hobbs; Yi Lisa Hwa; Eli Muchtar; Taxiarchis V Kourelis; Stephen Russell; John A Lust; Yi Lin; Mustaqeem Siddiqui; Robert A Kyle; Morie A Gertz; S Vincent Rajkumar; Shaji Kumar; Wilson I Gonsalves
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2021-02-17

8.  Marital status and survival of patients with oral cavity squamous cell carcinoma: a population-based study.

Authors:  Xiao Shi; Ting-Ting Zhang; Wei-Ping Hu; Qing-Hai Ji
Journal:  Oncotarget       Date:  2017-04-25

9.  Socioeconomic factors and survival in patients with non-metastatic head and neck squamous cell carcinoma.

Authors:  Cheng Xu; Yu-Pei Chen; Xu Liu; Ling-Long Tang; Lei Chen; Yan-Ping Mao; Yuan Zhang; Rui Guo; Guan-Qun Zhou; Wen-Fei Li; Ai-Hua Lin; Ying Sun; Jun Ma
Journal:  Cancer Sci       Date:  2017-05-20       Impact factor: 6.716

10.  Impact of insurance status on the survival of gallbladder cancer patients.

Authors:  Zhiqiang Chen; Wen Gao; Liyong Pu; Long Zhang; Guoyong Han; Qin Zhu; Xiangcheng Li; Jindao Wu; Xuehao Wang
Journal:  Oncotarget       Date:  2017-06-06
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