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Cancer Epidemiol. 2013 Jun;37(3):270-7. doi: 10.1016/j.canep.2012.12.007. Epub 2013 Jan 9.

National cancer incidence is estimated using the incidence/mortality ratio in countries with local incidence data: is this estimation correct?

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  • 1Institut de Veille Sanitaire (InVS), Saint Maurice, France. z.uhry@invs.sante.fr

Abstract

BACKGROUND:

In countries with local cancer registration, the national cancer incidence is usually estimated by multiplying the national mortality by the incidence/mortality (I/M) ratio from pooled registries. This study aims at validating this I/M estimation in France, by a comparison with estimation obtained using the ratio of incidence over hospital discharge (I/HD) or the ratio of incidence over health insurance data (long-duration diseases, I/LDD).

METHODS:

This comparison was performed for 22 cancer sites over the period 2004-2006. In France, a longitudinal I/M approach was developed relying on incidence and mortality trend analyses; here, the corresponding estimations of national incidence were extracted for 2004-2006. The I/HD and I/LDD estimations were performed using a common cross-sectional methodology.

RESULTS:

The three estimations were found similar for most cancers. The relative differences in incidence rates (vs. I/M) were below 5% for numerous cancers and below 10% for all cancers but three. The highest differences were observed for thyroid cancer (up to +21% in women and +8% in men), skin melanoma (up to +13% in women and +8% in men), and Hodgkin disease in men (up to +15%). Differences were also observed in women aged over 60 for cervical cancer. Except for thyroid cancer, differences were mainly due to the smoothing performed in the I/M approach.

CONCLUSION:

Our results support the validity of I/M approaches for national estimations, except for thyroid cancer. The longitudinal version of this approach has, furthermore, the advantage of providing smoothed estimations and trend analyses, including useful birth-cohort indicators, and should thus be preferred.

Copyright © 2012 Elsevier Ltd. All rights reserved.

PMID:
23312453
[PubMed - indexed for MEDLINE]
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