US trends in survival disparities among adolescents and young adults with non-Hodgkin lymphoma
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  • 作者:Erin E. Kent ; Nancy Breen ; Denise R. Lewis ; Janet S. de Moor…
  • 关键词:Non ; Hodgkin lymphoma ; Adolescents and young adults ; Relative survival ; Cancer health disparities ; Surveillance
  • 刊名:Cancer Causes & Control
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:26
  • 期:8
  • 页码:1153-1162
  • 全文大小:631 KB
  • 参考文献:1.Adolescent and Young Adult Oncology Progress Review Group (2006) Closing the gap: research and care imperatives for adolescents and young adults with cancer (NIH Publication No. 06-6067). Bethesda, MD
    2.Pulte D, Gondos A, Brenner H (2009) Trends in survival after diagnosis with hematologic malignancy in adolescence or young adulthood in the United States, 1981-005. Cancer 115:4973-979PubMed View Article
    3.Pulte D, Redaniel MT, Brenner H, Jeffreys M (2012) Changes in survival by ethnicity of patients with cancer between 1992-996 and 2002-006: is the discrepancy decreasing? Ann Oncol 23:2428-434PubMed View Article
    4.Li Y, Wang Y, Wang Z, Yi D, Ma S (2015) Racial differences in three major NHL subtypes: descriptive epidemiology. Cancer Epidemiol 39:8-3PubMed View Article
    5.Kato I, Booza J, Quarshie WO, Schwartz K (2012) Persistent socioeconomic inequalities in cancer survival in the United States: 1973-007 Surveillance, Epidemiology and End Results (SEER) data for breast cancer and non-Hodgkin’s lymphoma. J Regist Manag 39:158-66
    6.Kent EE, Morris RA, Largent JA, Ziogas A, Sender LS, Anton-Culver H (2010) Socioeconomic impacts on survival differ by race/ethnicity among adolescents and young adults with non-Hodgkin’s lymphoma. J Cancer Epidemiol
    7.Howlader N, Ries LA, Mariotto AB, Reichman ME, Ruhl J, Cronin KA (2010) Improved estimates of cancer-specific survival rates from population-based data. J Natl Cancer Inst 102:1584-598PubMed Central PubMed View Article
    8.Shiels MS, Engels EA, Linet MS et al (2013) The epidemic of non-Hodgkin lymphoma in the United States: disentangling the effect of HIV, 1992-009. Cancer Epidemiol Biomark Prev 22:1069-078View Article
    9.Breen N, Scott S, Percy-Laurry A, Lewis D, Glasgow R (2014) Health disparities calculator: a methodologically rigorous tool for analyzing inequalities in population health. Am J Public Health 104:1589-591PubMed View Article
    10.Harper S, Lynch J, Meersman SC, Breen N, Davis WW, Reichman MC (2009) Trends in area-socioeconomic and race–ethnic disparities in breast cancer incidence, stage at diagnosis, screening, mortality, and survival among women ages 50?years and over (1987-005). Cancer Epidemiol Biomark Prev 18:121-31View Article
    11.An Q, Prejean J, Hall HI (2012) Racial disparity in U.S. diagnoses of acquired immune deficiency syndrome, 2000-009. Am J Prev Med 43:461-66PubMed View Article
    12.Barr RD, Holowaty EJ, Birch JM (2006) Classification schemes for tumors diagnosed in adolescents and young adults. Cancer 106:1425-430PubMed View Article
    13.Fritz A, Percy C, Jack A et al (2000) International classification of diseases for oncology (ICD-O), 3rd edn. World Health Organization, Geneva
    14.NAACCR Race and Ethnicity Work Group (2011) NAACCR guideline for enhancing Hispanic/Latino identification: revised NAACCR Hispanic/Latino identification algorithm [NHIA v2.2.1]. North American Association of Central Cancer Registries, Springfield, IL
    15.Cho H, Howlader N, Mariotto AB, Cronin KA (2011) Estimating relative survival for cancer patients from the SEER Program using expected rates based on Ederer I versus Ederer II method. Surveillance Research Program, National Cancer Institute, Bethesda, MD
    16.Health Disparities Calculator Version 1.2.4—October 29 2013. Division of Cancer Control and Population Sciences, Surveillance Research Program and Applied Research Program, National Cancer Institute
    17.Harper S, Lynch J (2005) Methods for measuring cancer disparities: using data relevant to Healthy People 2010 cancer-related objectives. NCI Cancer Surveillance Monograph Series. National Cancer Institute, Bethesda, MD
    18.Harper S, Lynch J (2005) Selected comparisons of measures of health disparities: a review using databases relevant to Healthy People 2010 cancer-related objectives. National Cancer Institute, Bethesda, MD
    19.Surveillance E, and End Results (SEER) Program (www.?seer.?cancer.?gov ). SEER*Stat Database: Incidence—SEER 18 Regs Research Data, Nov 2011 Sub (1973-010) <Katrina/Rita Population Adjustment>—Linked To County Attributes—Total U.S., 1969-010 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013, based on the November 2012 submission
    20.Statistical Methodology and Applications Branch SRP, National Cancer Institute. Joinpoint Regression Program, Version 4.0.4—May 2013
    21.Bleyer A, Choi M, Fuller CD, Thomas CR Jr, Wang SJ (2009) Relative lack of conditional survival improvement in young adults with cancer. Semin Oncol 36:460-67PubMed View Article
    22.Frederiksen BL, Dalton SO, Osler M, Steding-Jessen M, de Nully Brown P (2012) Socioeconomic position, treatment, and survival of non-Hodgkin lymphoma in Denmark—a nationwide study. Br J Cancer 106:988-95PubMed Central PubMed View Article
    23.Woods LM, Rachet B, Coleman MP (2006) Origins of socio-economic inequalities in cancer sur
  • 作者单位:Erin E. Kent (1)
    Nancy Breen (2)
    Denise R. Lewis (3)
    Janet S. de Moor (4)
    Ashley Wilder Smith (1)
    Nita L. Seibel (5)

    1. Outcomes Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA
    2. Health Systems and Interventions Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
    3. Data Quality, Analysis, and Interpretation Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
    4. Healthcare Assessment Research Branch, Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA
    5. Clinical Investigations Branch, Cancer Therapy Evaluation Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, MD, USA
  • 刊物类别:Medicine
  • 刊物主题:Medicine & Public Health
    Oncology
    Cancer Research
    Public Health
    Epidemiology
    Hematology
  • 出版者:Springer Netherlands
  • ISSN:1573-7225
文摘
Purpose Improvement in US survival rates among adolescents and young adults (AYAs, ages 15 through 39?years inclusive) diagnosed with non-Hodgkin lymphoma (NHL) has been documented over the last two decades. We examined national trends in survival disparities for AYAs with NHL by race/ethnicity and socioeconomic status (SES, county-level poverty) to further understand NHL and to begin monitoring health outcome disparities for this disease. Methods Surveillance Epidemiology and End Results data were used to calculate 5-year relative survival rates of AYAs diagnosed with NHL from 1992 to 2007 and followed through 2011. Absolute and relative disparities were computed using HD*Calc. Whether a significant linear trend was present was evaluated using Joinpoint. Analyses were replicated after excluding individuals with known HIV infection. Results The study sample included 9,573 total and 7,121 non-HIV cases of NHL. Five-year survival rates improved for all groups over time. Significant decreases were found in absolute disparities for race/ethnicity (non-HIV), in relative disparities for SES (total) and race/ethnicity (total and non-HIV) (all p?<?0.05). Survival rates of non-Hispanic Blacks and Hispanics remained below than those of non-Hispanic Whites throughout the time period. Conclusion Absolute and relative disparities in 5-year survival narrowed for AYAs with NHL over the time period. To continue to promote this trend, future research should investigate factors, particularly diagnostic delays and barriers to care, which continue to contribute to SES and racial/ethnic differences in survival. These factors may be particularly relevant to identify given the recent Affordable Care Act, which is designed to increase access to medical services, particularly for young adults.

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