How much incident lung cancer was missed globally in 2012? An ecological country-level study

Lung cancer incidence is increasing in many low-to-middle-income countries and is significantly under-reported in Africa, which could potentially mislead policy makers when prioritising disease burden. We employed an ecological correlation study design using countrylevel lung cancer incidence data a...

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Main Authors: Benn Sartorius, Kurt Sartorius
Format: Article
Language:English
Published: PAGEPress Publications 2016-05-01
Series:Geospatial Health
Subjects:
Online Access:http://www.geospatialhealth.net/index.php/gh/article/view/396
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spelling doaj-e9d7a82e7aa04083bcfbef7f23f37aa02020-11-25T03:58:34ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962016-05-0111210.4081/gh.2016.396382How much incident lung cancer was missed globally in 2012? An ecological country-level studyBenn Sartorius0Kurt Sartorius1School of Nursing and Public Health, University of KwaZulu-Natal, DurbanSchool of Nursing and Public Health, University of KwaZulu-Natal, Durban; Faculty of Commerce, University of the Witwatersrand, JohannesburgLung cancer incidence is increasing in many low-to-middle-income countries and is significantly under-reported in Africa, which could potentially mislead policy makers when prioritising disease burden. We employed an ecological correlation study design using countrylevel lung cancer incidence data and associated determinant data. Lagged prevalence of smoking and other exposure data were used to account for exposure-disease latency. A multivariable Poisson model was employed to estimate missed lung cancer in countries lacking incidence data. Projections were further refined to remove potential deaths from infectious/external competing causes. Global lung cancer incidence was much lower among females vs males (13.6 <em>vs</em> 34.2 per 100,000). Distinct spatial heterogeneity was observed for incident lung cancer and appeared concentrated in contiguous regions. Our model predicted a revised global lung cancer incidence in 2012 of 23.6 compared to the Globocan 2012 estimate of 23.1, amounting to ~38,101 missed cases (95% confidence interval: 28,489-47,713). The largest relative under-estimation was predicted for Africa, Central America and the Indian Ocean regions (Comoros, Madagascar, Mauritius, Mayotte, Reunion, Seychelles). Our results suggest substantial underreporting of lung cancer incidence, specifically in developing countries (<em>e.g.</em> Africa). The <em>missed</em> cost of treating these cases could amount to &gt;US$ 130 million based on recent developing setting costs for treating earlier stage lung cancer. The full cost is not only under-estimated, but also requires substantial additional social/family inputs as evidenced in more developed settings like the European Union. This represents a major public health problem in developing settings (<em>e.g.</em> Africa) with limited healthcare resources.http://www.geospatialhealth.net/index.php/gh/article/view/396Under reportingIncident lung cancerEcological determinant model
collection DOAJ
language English
format Article
sources DOAJ
author Benn Sartorius
Kurt Sartorius
spellingShingle Benn Sartorius
Kurt Sartorius
How much incident lung cancer was missed globally in 2012? An ecological country-level study
Geospatial Health
Under reporting
Incident lung cancer
Ecological determinant model
author_facet Benn Sartorius
Kurt Sartorius
author_sort Benn Sartorius
title How much incident lung cancer was missed globally in 2012? An ecological country-level study
title_short How much incident lung cancer was missed globally in 2012? An ecological country-level study
title_full How much incident lung cancer was missed globally in 2012? An ecological country-level study
title_fullStr How much incident lung cancer was missed globally in 2012? An ecological country-level study
title_full_unstemmed How much incident lung cancer was missed globally in 2012? An ecological country-level study
title_sort how much incident lung cancer was missed globally in 2012? an ecological country-level study
publisher PAGEPress Publications
series Geospatial Health
issn 1827-1987
1970-7096
publishDate 2016-05-01
description Lung cancer incidence is increasing in many low-to-middle-income countries and is significantly under-reported in Africa, which could potentially mislead policy makers when prioritising disease burden. We employed an ecological correlation study design using countrylevel lung cancer incidence data and associated determinant data. Lagged prevalence of smoking and other exposure data were used to account for exposure-disease latency. A multivariable Poisson model was employed to estimate missed lung cancer in countries lacking incidence data. Projections were further refined to remove potential deaths from infectious/external competing causes. Global lung cancer incidence was much lower among females vs males (13.6 <em>vs</em> 34.2 per 100,000). Distinct spatial heterogeneity was observed for incident lung cancer and appeared concentrated in contiguous regions. Our model predicted a revised global lung cancer incidence in 2012 of 23.6 compared to the Globocan 2012 estimate of 23.1, amounting to ~38,101 missed cases (95% confidence interval: 28,489-47,713). The largest relative under-estimation was predicted for Africa, Central America and the Indian Ocean regions (Comoros, Madagascar, Mauritius, Mayotte, Reunion, Seychelles). Our results suggest substantial underreporting of lung cancer incidence, specifically in developing countries (<em>e.g.</em> Africa). The <em>missed</em> cost of treating these cases could amount to &gt;US$ 130 million based on recent developing setting costs for treating earlier stage lung cancer. The full cost is not only under-estimated, but also requires substantial additional social/family inputs as evidenced in more developed settings like the European Union. This represents a major public health problem in developing settings (<em>e.g.</em> Africa) with limited healthcare resources.
topic Under reporting
Incident lung cancer
Ecological determinant model
url http://www.geospatialhealth.net/index.php/gh/article/view/396
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