Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Dec;39(6):1103-12.
doi: 10.1016/j.canep.2015.08.015. Epub 2015 Sep 2.

Impact of age and socioeconomic status on treatment and survival from aggressive lymphoma: a UK population-based study of diffuse large B-cell lymphoma

Affiliations

Impact of age and socioeconomic status on treatment and survival from aggressive lymphoma: a UK population-based study of diffuse large B-cell lymphoma

Alexandra Smith et al. Cancer Epidemiol. 2015 Dec.

Abstract

Aim: To examine the influence of patient's age and socio-economic status on treatment and outcome in diffuse large B-cell lymphoma (DLBCL); an aggressive curable cancer, with an incidence rate that increases markedly with age but varies little with socio-economic status.

Methods: Set within a representative UK population of around 4 million, data are from an established patient cohort. This report includes all patients (≥ 18 years) newly diagnosed with DLBCL 2004-2012, with follow-up to February 2015.

Results: Of the 2137 patients (median age 70.2 years) diagnosed with denovo DLBCL, 1709 (80%) were treated curatively/intensively and 1161(54.3%) died during follow-up. Five-year overall and relative survival (RS) estimates were 46.2% (95% CI 44.0-48.4%) and 54.6% (52.1%-57.0%) respectively for all patients, and 58.5% (56.1-60.9%) and 67.0% (64.3-69.6%) for intensively treated patients. 96.3% of patients <55 years (366/380) and 96.4% of those with the best performance status (543/563) were treated curatively: 5-year RSs being 77.9% (73.1-82%) and 87.1% (82.5-90.6%) respectively. At the other end of the age/fitness spectrum, 33.3% of those ≥ 85 years (66/198) and 41.1% with the worst performance (94/225) were treated curatively: the corresponding 5-year RSs being 50.5% (27.1-69.0%) and 22.9% (14.0-33.2%). The proportion of patients whose cancer was fully staged fell with increasing age and worsening performance status. No socio-economic variations with treatment, stage at presentation or outcome were detected.

Conclusions: Performance status is more discriminatory of survival than chronological age, with fitter patients benefiting from treatment across all ages. Socio-economic factors are not predictive of outcome in patients with DLBCL in the UK.

Keywords: Age; Chemotherapy; Diffuse large B-cell lymphoma; Inequality; Non-Hodgkin lymphoma; Socio economic status.

PubMed Disclaimer

Figures

None
Supplementary Fig. S1 Cancer stage by A) age at diagnosis (years) B) performance status C) deprivation: HMRN patients (≥ 18 years) diagnosed with DLBCL 2004-12.
Fig. 1
Fig. 1
Overall and relative survival curves by age, performance status, stage and deprivation for all patients and chemotherapy treated patients: HMRN patients (≥ 18 years) diagnosed with DLBCL 2004–12 and followed until February 2015.
Fig. 2
Fig. 2
Jitter plot showing the patients distributed by performance status and age according to whether they received chemotherapy (green dots, with median ages marked with a green bar) or not (red triangles, with median ages marked with a red bar): HMRN patients (≥18 years) diagnosed with DLBCL 2004–12. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 3
Fig. 3
5-year relative survival estimates and 95% confidence intervals stratified by age and performance status for all patients and chemotherapy treated patients: HMRN patients (≥18 years) diagnosed with DLBCL 2004–12 and followed until February 2015.

Similar articles

Cited by

References

    1. Torre L.A., Bray F., Siegel R.L., Ferlay J., Lortet-Tieulent J., Jemal A. Global cancer statistics, 2012. CA Cancer J. Clin. 2015;4(February) - PubMed
    1. Office for National Statistics. Cancer Statistics Registrations, England (Series MB1) [Internet]. Office for National Statistics. 2014 [cited 2015 Mar 17]. Available from: http://www.ons.gov.uk/ons/rel/vsob1/cancer-statistics-registrations--eng....
    1. Edwards B.K., Noone A.-M., Mariotto A.B., Simard E.P., Boscoe F.P., Henley S.J. Annual Report to the Nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer. Cancer. 2014;120(9 (May)):1290–1314. - PMC - PubMed
    1. Quaglia A., Tavilla A., Shack L., Brenner H., Janssen-Heijnen M., Allemani C. The cancer survival gap between elderly and middle-aged patients in Europe is widening. Eur. J. Cancer. 2009;45(6 (April)):1006–1016. - PubMed
    1. Moller H., Flatt G., Moran A. High cancer mortality rates in the elderly in the UK. Cancer Epidemiol. 2011;35(5 (October)):407–412. - PubMed

Publication types

  NODES
INTERN 3
twitter 2