Literature DB >> 21803568

Spatial variation in stage distribution in colorectal cancer in the Netherlands.

M A G Elferink1, E Pukkala, J M Klaase, S Siesling.   

Abstract

BACKGROUND: In the Netherlands the incidence of colorectal cancer has increased, mainly in the eastern part of the country. Patient delay due to unawareness or ignorance of symptoms and differences in use of diagnostic tools could have influence on the stage distribution. The aim of this study was to evaluate geographical differences in stage-specific incidence rates of colon and rectal cancer in the Netherlands.
METHODS: Age-adjusted incidence rates for cancers of the colon and rectum diagnosed in 2001-2005 and registered in the Netherlands Cancer Registry were calculated for each municipality and stage. The incidence for each 500m by 500m grid was estimated as a weighted average of the incidence rates of the neighbouring municipalities. The incidence rates and the stage distribution are both presented as maps. Geographic variation in stage-specific incidence was evaluated using spatial scan statistic.
RESULTS: In both colon and rectal cancer, significant spatial variation in stage-specific incidences was found, except for colon cancer of stages III and IV. The regions with a higher stage-specific incidence were almost all in the south eastern part of the Netherlands, however, these differences were not seen in the stage distribution. There were no differences in stage distribution between large cities and the rest of the country.
CONCLUSIONS: These maps give insight into differences in stage-specific incidences of colon and rectal cancer in the Netherlands. Educational interventions to increase the awareness of symptoms of colorectal cancer may be especially useful for the population in regions with high incidence of advanced stages.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21803568     DOI: 10.1016/j.ejca.2011.06.058

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

1.  Bayesian model selection methods in modeling small area colon cancer incidence.

Authors:  Rachel Carroll; Andrew B Lawson; Christel Faes; Russell S Kirby; Mehreteab Aregay; Kevin Watjou
Journal:  Ann Epidemiol       Date:  2015-11-14       Impact factor: 3.797

2.  Spatially-dependent Bayesian model selection for disease mapping.

Authors:  Rachel Carroll; Andrew B Lawson; Christel Faes; Russell S Kirby; Mehreteab Aregay; Kevin Watjou
Journal:  Stat Methods Med Res       Date:  2016-07-20       Impact factor: 3.021

3.  The modifying effect of patient location on stage-specific survival following colorectal cancer using geosurvival models.

Authors:  Lung-Chang Chien; Mario Schootman; Sandi L Pruitt
Journal:  Cancer Causes Control       Date:  2013-01-10       Impact factor: 2.506

4.  Missed opportunities: racial and neighborhood socioeconomic disparities in emergency colorectal cancer diagnosis and surgery.

Authors:  Sandi L Pruitt; Nicholas O Davidson; Samir Gupta; Yan Yan; Mario Schootman
Journal:  BMC Cancer       Date:  2014-12-09       Impact factor: 4.430

5.  Exploring Spatial Patterns of Colorectal Cancer in Tehran City, Iran

Authors:  Kamyar Mansori; Alireza Mosavi-Jarrahi; Ali Ganbary Motlagh; Masoud Solaymani-Dodaran; Masoud Salehi; Alireza Delavari; Ali Sanjari Moghaddam; Mohsen Asadi-Lari
Journal:  Asian Pac J Cancer Prev       Date:  2018-04-27
  5 in total

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