Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

ObjectiveAge is an important prognostic factor for lung cancer. However, no studies have investigated the age difference in lung cancer survival per se. We, therefore, described the role of patient-related and clinical factors on the age pattern in lung cancer excess mortality hazard by stage at diagnosis in New Zealand.Materials and methodsWe extracted 22 487 new lung cancer cases aged 50-99 (median age = 71, 47.1 % females) diagnosed between 1 January 2006 and 31 July 2017 from the New Zealand population-based cancer registry and followed up to December 2019. We modelled the effect of age at diagnosis, sex, ethnicity, deprivation, comorbidity, and emergency presentation on the excess mortality hazard by stage at diagnosis, and we derived corresponding lung cancer net survival.ResultsThe age difference in net survival was particularly marked for localised and regional lung cancers, with a sharp decline in survival from the age of 70. No identified factors influenced age disparities in patients with localised cancer. However, for other stages, females had a greater difference in survival between middle-age and older-age than males. Comorbidity and emergency presentation played a minor role. Ethnicity and deprivation did not influence age disparities in lung cancer survival.ConclusionSex and stage at diagnosis were the most important factors of age disparities in lung cancer survival in New Zealand.

Original publication

DOI

10.1016/j.lungcan.2021.05.015

Type

Journal article

Journal

Lung cancer (Amsterdam, Netherlands)

Publication Date

07/2021

Volume

157

Pages

92 - 99

Addresses

Department of Public Health, University of Otago, PO Box 7343, Wellington, New Zealand; Nuffield Department of Population Health, University of Oxford, Big Data Institute, Old Road Campus, Oxford, OX3 7LF, UK. Electronic address: sophie.pilleron@ndph.ox.ac.uk.

Keywords

Humans, Lung Neoplasms, Registries, Comorbidity, Aged, Middle Aged, Ethnic Groups, New Zealand, Female, Male