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BMC Cancer

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Open Access 01-12-2015 | Research article

Low-dose aspirin and survival from lung cancer: a population-based cohort study

Authors: Úna C. Mc Menamin, Chris R. Cardwell, Carmel M. Hughes, Liam M. Murray

Published in: BMC Cancer | Issue 1/2015

Abstract

Background

Preclinical evidence suggests that aspirin may inhibit lung cancer progression. In a large cohort of lung cancer patients, we investigated whether low-dose aspirin use was associated with a reduction in the risk of lung cancer-specific mortality.

Methods

We identified lung cancer patients from English cancer registries diagnosed between 1998 to 2009 from the National Cancer Data Repository. Medication usage was obtained from linkages to the UK Clinical Practice Research Datalink and lung cancer-specific deaths were identified from Office of National Statistics mortality data. Hazard ratios (HR) and 95 % confidence intervals (CI) for the association between low-dose aspirin use (before and after diagnosis) and risk of lung cancer-specific mortality were calculated using Cox regression models.

Results

A total of 14,735 lung cancer patients were identified during the study period. In analysis of 3,635 lung cancer patients, there was no suggestion of an association between low-dose aspirin use after diagnosis and cancer-specific mortality (adjusted HR = 0.96, 95 % CI: 0.85, 1.09). Similarly, no association was evident for low-dose aspirin use before diagnosis and cancer-specific mortality (adjusted HR = 1.00, 95 % CI: 0.95, 1.05). Associations were comparable by duration of use and for all-cause mortality.

Conclusion

Overall, we found little evidence of a protective association between low-dose aspirin use and cancer-specific mortality in a large population-based lung cancer cohort.

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Title: Low-dose aspirin and survival from lung cancer: a population-based cohort study
Authors: Úna C. Mc Menamin
Chris R. Cardwell
Carmel M. Hughes
Liam M. Murray
Publication date: 01-12-2015
Publisher: BioMed Central
Published in: BMC Cancer / Issue 1/2015
Electronic ISSN: 1471-2407
DOI: https://doi.org/10.1186/s12885-015-1910-9

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Abstract

Background

Methods

Results

Conclusion

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