Literature DB >> 26595447

A novel method for identifying settings for well-motivated ecologic studies of cancer.

Andreas Stang1,2,3, Bernd Kowall1, Carsten Rusner4, Britton Trabert5, Freddie Bray6, Joachim Schüz7, Katherine A McGlynn5, Oliver Kuss8,9.   

Abstract

A low within-country variability and a large between-country variability in cancer incidence may indicate that ecologic factors are involved in the etiology of the disease. The aim of this study is to explore the within- and between-country variability of cancer incidence to motivate high-quality ecologic studies. We extracted age-standardized incidence rate estimates (world standard population) from 135 regions for the ten most frequent invasive cancers in Europe for non-Hispanic white populations from Cancer Incidence in Five Continents, Volume X. We fitted weighted multilevel Poisson regression models with random country effects for each cancer and sex. We estimated intraclass correlation coefficients (ICCs) and 95% confidence intervals (95% CIs). A high ICC indicates a low within- and a high between-country variability of rates. The two cancer sites with the highest ICC among men were prostate cancer (0.96, 95% CI: 0.92-0.99) and skin melanoma (0.78, 0.64-0.93). Among women, high ICCs were observed for lung cancer (0.84, 0.73-0.95) and breast cancer (0.80, 0.69-0.91). The two most prominent sex differences for ICC occurred for cancers of the head and neck (men: 0.70, 0.55-0.85, women: 0.19, 0.08-0.30) and breast cancer (men: 0.04, 0.01-0.07, women: 0.80, 0.69-0.91). ICCs were relatively low for pancreatic cancer (men: 0.23, 0.10-0.35; women: 0.13, 0.04-0.21) and leukemia (men: 0.12, 0.04-0.21; women: 0.08, 0.02-0.14). For cancers with high ICC for which systematic factors of the health care system, screening and diagnostic activities are not plausible explanations for between-country variations in incidence, cross-country sex-specific ecologic studies may be especially promising.
© 2015 UICC.

Entities:  

Keywords:  cancer registries; etiology; incidence; neoplasms

Mesh:

Year:  2015        PMID: 26595447      PMCID: PMC4976447          DOI: 10.1002/ijc.29931

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  22 in total

1.  Modelling of discrete spatial variation in epidemiology with SAS using GLIMMIX.

Authors:  Søren Rasmussen
Journal:  Comput Methods Programs Biomed       Date:  2004-10       Impact factor: 5.428

2.  A generalized concordance correlation coefficient based on the variance components generalized linear mixed models for overdispersed count data.

Authors:  Josep L Carrasco
Journal:  Biometrics       Date:  2010-09       Impact factor: 2.571

3.  Design considerations for estimation of exposure effects on disease risk, using aggregate data studies.

Authors:  L Sheppard; R L Prentice; M A Rossing
Journal:  Stat Med       Date:  1996 Sep 15-30       Impact factor: 2.373

4.  Cancer risk: prevention is crucial.

Authors:  Carolyn Gotay; Trevor Dummer; John Spinelli
Journal:  Science       Date:  2015-02-05       Impact factor: 47.728

5.  Cancer risk: many factors contribute.

Authors:  Mingyang Song; Edward L Giovannucci
Journal:  Science       Date:  2015-02-05       Impact factor: 47.728

6.  An inter-state comparison of cardiovascular risk factors in Germany: towards an explanation of high ischemic heart disease mortality in Saxony-Anhalt.

Authors:  Andreas Stang; Maximilian Stang
Journal:  Dtsch Arztebl Int       Date:  2014-08-04       Impact factor: 5.594

Review 7.  Ecologic studies in epidemiology: concepts, principles, and methods.

Authors:  H Morgenstern
Journal:  Annu Rev Public Health       Date:  1995       Impact factor: 21.981

8.  Cancer etiology. Variation in cancer risk among tissues can be explained by the number of stem cell divisions.

Authors:  Cristian Tomasetti; Bert Vogelstein
Journal:  Science       Date:  2015-01-02       Impact factor: 47.728

9.  Cancer risk: tumors excluded.

Authors:  John D Potter; Ross L Prentice
Journal:  Science       Date:  2015-02-05       Impact factor: 47.728

10.  Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.

Authors:  J Ferlay; E Steliarova-Foucher; J Lortet-Tieulent; S Rosso; J W W Coebergh; H Comber; D Forman; F Bray
Journal:  Eur J Cancer       Date:  2013-02-26       Impact factor: 9.162

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