Literature DB >> 26826029

Impact of Treatment and Insurance on Socioeconomic Disparities in Survival after Adolescent and Young Adult Hodgkin Lymphoma: A Population-Based Study.

Theresa H M Keegan1, Mindy C DeRouen2, Helen M Parsons3, Christina A Clarke4, Debbie Goldberg2, Christopher R Flowers5, Sally L Glaser4.   

Abstract

BACKGROUND: Previous studies documented racial/ethnic and socioeconomic disparities in survival after Hodgkin lymphoma among adolescents and young adults (AYA), but did not consider the influence of combined-modality treatment and health insurance.
METHODS: Data for 9,353 AYA patients ages 15 to 39 years when diagnosed with Hodgkin lymphoma during 1988 to 2011 were obtained from the California Cancer Registry. Using multivariate Cox proportional hazards regression, we examined the impact of sociodemographic characteristics [race/ethnicity, neighborhood socioeconomic status (SES), and health insurance], initial combined-modality treatment, and subsequent cancers on survival.
RESULTS: Over the 24-year study period, we observed improvements in Hodgkin lymphoma-specific survival by diagnostic period and differences in survival by race/ethnicity, neighborhood SES, and health insurance for a subset of more recently diagnosed patients (2001-2011). In multivariable analyses, Hodgkin lymphoma-specific survival was worse for Blacks than Whites with early-stage [HR: 1.68; 95% confidence interval (CI): 1.14-2.49] and late-stage disease (HR: 1.68; 95% CI, 1.17-2.41) and for Hispanics than Whites with late-stage disease (HR: 1.58; 95% CI, 1.22-2.04). AYAs diagnosed with early-stage disease experienced worse survival if they also resided in lower SES neighborhoods (HR: 2.06; 95% CI, 1.59-2.68). Furthermore, more recently diagnosed AYAs with public health insurance or who were uninsured experienced worse Hodgkin lymphoma-specific survival (HR: 2.08; 95% CI, 1.52-2.84).
CONCLUSION: Our findings identify several subgroups of Hodgkin lymphoma patients at higher risk for Hodgkin lymphoma mortality. IMPACT: Identifying and reducing barriers to recommended treatment and surveillance in these AYAs at much higher risk of mortality is essential to ameliorating these survival disparities. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26826029      PMCID: PMC4767568          DOI: 10.1158/1055-9965.EPI-15-0756

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  42 in total

1.  Health insurance across vulnerable ages: patterns and disparities from adolescence to the early 30s.

Authors:  Sally H Adams; Paul W Newacheck; M Jane Park; Claire D Brindis; Charles E Irwin
Journal:  Pediatrics       Date:  2007-05       Impact factor: 7.124

2.  Changes in the use of radiation therapy for early classical Hodgkin lymphoma in adolescents and young adults: implications for survival and second malignancies.

Authors:  Ana C Xavier; Luciano J Costa
Journal:  Leuk Lymphoma       Date:  2015-01-21

3.  Medical care in adolescents and young adult cancer survivors: what are the biggest access-related barriers?

Authors:  Theresa H M Keegan; Li Tao; Mindy C DeRouen; Xiao-Cheng Wu; Pinki Prasad; Charles F Lynch; Margarett Shnorhavorian; Brad J Zebrack; Roland Chu; Linda C Harlan; Ashley W Smith; Helen M Parsons
Journal:  J Cancer Surviv       Date:  2014-01-10       Impact factor: 4.442

4.  Underascertainment of radiotherapy receipt in Surveillance, Epidemiology, and End Results registry data.

Authors:  Reshma Jagsi; Paul Abrahamse; Sarah T Hawley; John J Graff; Ann S Hamilton; Steven J Katz
Journal:  Cancer       Date:  2011-06-29       Impact factor: 6.860

5.  Socioeconomic inequality and short-term outcome in Hodgkin's lymphoma.

Authors:  Andrea Soares; Irene Biasoli; Adriana Scheliga; Ronir Raggio Luiz; Mário Alberto Costa; Marcelo Land; Sérgio Romano; José Carlos Morais; Nelson Spector
Journal:  Int J Cancer       Date:  2007-02-15       Impact factor: 7.396

6.  Factors associated with residential mobility in children with leukemia: implications for assigning exposures.

Authors:  Kevin Y Urayama; Julie Von Behren; Peggy Reynolds; Andrew Hertz; Monique Does; Patricia A Buffler
Journal:  Ann Epidemiol       Date:  2009-04-11       Impact factor: 3.797

7.  State-specific prevalence of selected chronic disease-related characteristics--Behavioral Risk Factor Surveillance System, 2001.

Authors:  Indu B Ahluwalia; Karin A Mack; Wilmon Murphy; Ali H Mokdad; Virginia S Bales
Journal:  MMWR Surveill Summ       Date:  2003-08-22

8.  Cancer-specific outcomes among young adults without health insurance.

Authors:  Ayal A Aizer; Benjamin Falit; Mallika L Mendu; Ming-Hui Chen; Toni K Choueiri; Karen E Hoffman; Jim C Hu; Neil E Martin; Quoc-Dien Trinh; Brian M Alexander; Paul L Nguyen
Journal:  J Clin Oncol       Date:  2014-06-02       Impact factor: 44.544

9.  Disparities in survival after Hodgkin lymphoma: a population-based study.

Authors:  Theresa H M Keegan; Christina A Clarke; Ellen T Chang; Sarah J Shema; Sally L Glaser
Journal:  Cancer Causes Control       Date:  2009-12       Impact factor: 2.506

10.  Young and uninsured: Insurance patterns of recently diagnosed adolescent and young adult cancer survivors in the AYA HOPE study.

Authors:  Helen M Parsons; Susanne Schmidt; Linda C Harlan; Erin E Kent; Charles F Lynch; Ashley W Smith; Theresa H M Keegan
Journal:  Cancer       Date:  2014-06-04       Impact factor: 6.921

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  34 in total

1.  Treatment Complications and Survival Among Children and Young Adults With Acute Lymphoblastic Leukemia.

Authors:  Elysia M Alvarez; Marcio Malogolowkin; Jeffrey S Hoch; Qian Li; Ann Brunson; Brad H Pollock; Lori Muffly; Ted Wun; Theresa H M Keegan
Journal:  JCO Oncol Pract       Date:  2020-06-11

Review 2.  Racial disparities, cancer and response to oxidative stress.

Authors:  Jie Zhang; Zhi-Wei Ye; Danyelle M Townsend; Chanita Hughes-Halbert; Kenneth D Tew
Journal:  Adv Cancer Res       Date:  2019-04-23       Impact factor: 6.242

Review 3.  Current considerations in AYA Hodgkin lymphoma.

Authors:  Jennifer L Crombie; Ann S LaCasce
Journal:  Br J Haematol       Date:  2018-11-20       Impact factor: 6.998

4.  Rural and urban patients with diffuse large B-cell and follicular lymphoma experience reduced overall survival: a National Cancer DataBase study.

Authors:  Andrew J Ritter; Jordan S Goldstein; Amy A Ayers; Christopher R Flowers
Journal:  Leuk Lymphoma       Date:  2019-01-11

5.  Survival by Race and Ethnicity in Pediatric and Adolescent Patients With Hodgkin Lymphoma: A Children's Oncology Group Study.

Authors:  Justine M Kahn; Kara M Kelly; Qinglin Pei; Rizvan Bush; Debra L Friedman; Frank G Keller; Smita Bhatia; Tara O Henderson; Cindy L Schwartz; Sharon M Castellino
Journal:  J Clin Oncol       Date:  2019-09-20       Impact factor: 44.544

6.  Cardiovascular disease incidence in adolescent and young adult cancer survivors: a retrospective cohort study.

Authors:  Theresa H M Keegan; Lawrence H Kushi; Qian Li; Ann Brunson; X Chawla; Helen K Chew; Marcio Malogolowkin; Ted Wun
Journal:  J Cancer Surviv       Date:  2018-02-09       Impact factor: 4.442

7.  Disparities in Mortality from Noncancer Causes among Adolescents and Young Adults with Cancer.

Authors:  Chelsea Anderson; Jennifer L Lund; Mark A Weaver; William A Wood; Andrew F Olshan; Hazel B Nichols
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-06-17       Impact factor: 4.254

Review 8.  Racial and ethnic disparities in hematologic malignancies.

Authors:  Kedar Kirtane; Stephanie J Lee
Journal:  Blood       Date:  2017-07-19       Impact factor: 22.113

9.  Long-Term Survival Rates of Patients with Stage III-IV Hodgkin Lymphoma According to Age, Sex, Race, and Socioeconomic Status, 1984-2013.

Authors:  Yushi Li; Huanhuan Sun; Yan Yan; Tiantian Sun; Shuncong Wang; Haiqing Ma
Journal:  Oncologist       Date:  2018-05-08

Review 10.  Adolescent and young adult Hodgkin lymphoma: Raising the bar through collaborative science and multidisciplinary care.

Authors:  Justine M Kahn; Kara M Kelly
Journal:  Pediatr Blood Cancer       Date:  2018-03-30       Impact factor: 3.167

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