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Comment
. 2014 Jun 5;123(23):3530-1.
doi: 10.1182/blood-2014-04-568766.

Socioeconomic disparities in lymphoma

Christopher R Flowers  1 , Loretta J Nastoupil  2
Affiliations
Comment

Socioeconomic disparities in lymphoma

Christopher R Flowers et al. Blood. .

Abstract

In this issue of Blood, Tao et al provide a retrospective analysis of a large population-based data set to examine the relationships between socioeconomic status (SES), insurance status, demographic factors, and diffuse large B-cell lymphoma (DLBCL) disease–specific and overall survival. The authors address an important gap in the understanding of lymphoma disparities and take advantage of geospatial coded data within the California cancer registry that are appropriately suited to evaluate these relationships.

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Conflict of interest statement

Conflict-of-interest disclosure: C.R.F. has served as a consultant for OptumRx, Celgene, Seattle Genetics, Genentech/Roche (unpaid), and Millennium/Takeda (unpaid), and has received research funding from Abbvie, Celgene, Janssen, Millennium/Takeda, and Spectrum. L.J.N. has received consultation fees from Genentech. All funding for C.R.F. and L.J.N. has been for work performed outside of the current commentary.

Figures

None
A framework for understanding the relationships between social, environmental, biological, and patient-related factors and disparities in DLBCL survival (numbers indicate example publications from the references that address specific factors). Professional illustration by Debra T. Dartez.
See this image and copyright information in PMC

Comment on

References

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    1. Flowers CR, Sinha R, Vose JM. Improving outcomes for patients with diffuse large B-cell lymphoma. CA Cancer J Clin. 2010;60(6):393–408. - PubMed
    1. Coiffier B, Thieblemont C, Van Den Neste E, et al. Long-term outcome of patients in the LNH-98.5 trial, the first randomized study comparing rituximab-CHOP to standard CHOP chemotherapy in DLBCL patients: a study by the Groupe d’Etudes des Lymphomes de l’Adulte. Blood. 2010;116(12):2040–2045. - PMC - PubMed
    1. A predictive model for aggressive non-Hodgkin’s lymphoma. The International Non-Hodgkin’s Lymphoma Prognostic Factors Project. N Engl J Med. 1993;329(14):987–994. - PubMed
    1. Han X, Jemal A, Flowers CR, Sineshaw H, Nastoupil LJ, Ward E. Insurance status is related to diffuse large B-cell lymphoma survival. Cancer. 2014;120(8):1220–1227. - PubMed