Spatial analysis of colorectal cancer incidence and proportion of late-stage in Massachusetts residents: 1995–1998

DeChello, Laurie M; Sheehan, T. Joseph

doi:10.1186/1476-072x-6-20

Cited by 42 publications

(37 citation statements)

References 22 publications

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“…In Malaysia, colorectal cancer (CRC) hot spots were located in the northwest region of Kuala Lumpur (KL) where residents have high socioeconomic status (56). In another study in Massachusetts men residents had more clusters than women, and after adjustment for SES and urban proportion, some of these areas were not significantly different (57).…”

Section: Discussionmentioning

confidence: 99%

Cancer Incidence Rate in the Elderly Inhabitants of Tehran: Is there Really any Cluster?

Rohani-Rasaf

Nazari

et al. 2017

Int J Cancer Manag

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Background: The number of new cancer cases in the elderly is growing because of the aging population. Methods: Cancer data of the elderly (65 years and older) were collected from Iran cancer registry in 2007. Local Moran's I was used as a measure of spatial analysis to identify the cluster patterns. Results: The overall cancer incidence rates were 862.4 and 474.8 per 100,000 in men and women, respectively. Prostate cancer and breast cancer were the most common types of cancer in men and women, correspondingly. Using the Local Moran's I tool, we identified more spatial clusters among men than women. Districts 1, 2, 3 and 6 in the north of Tehran were hot spots for prostate cancer and district 16 in the south of Tehran was the cool spot for this type of cancer, and districts 1 and 3 were the hot spots for breast cancer. Conclusions: More cancer hot spots were located in the north of Tehran where districts are more privileged, and more cool spots were located in the south of the city where districts are more underprivileged.

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Section: Discussionmentioning

confidence: 99%

Cancer Incidence Rate in the Elderly Inhabitants of Tehran: Is there Really any Cluster?

Rohani-Rasaf

Nazari

et al. 2017

Int J Cancer Manag

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“…Individual data Cancer registries Aballay et al (2012), Absalon and Slesak (2011), Al-Ahmadi and Al-Zahrani (2013), Alvarez et al (2009), Bailony et al (2011), Bambhroliya et al (2012, Bristow et al (2014), Buntinx et al (2003), Cassetti et al (2008), Chen et al (2008b, 2011, Chien et al (2013a), Christian et al (2011), Colak et al (2015, Colonna (2004Colonna ( , 2006, Colonna et al (1990), Cramb et al (2011), Dai and Oyana (2008), David et al (2002), DeChello and Sheehan (2007), DeChello et al (2006), Drapeau et al (1995), Elebead et al (2012), Elferink et al (2012), Fairley et al (2008), Fedewa et al (2009), Ferreira et al (2012, Fortunato et al (2011), Gallagher et al (2010, Garcia Martinez et al (2014), Gbary et al (1995), Goodman et al (2010), Xiao (2011, 2012), Guajardo and Oyana (2009), Samociuk (2003, 2013) Godon et al (1991), Goovaerts (2005Goovaerts ( , 2006aGoovaerts ( , 2006b), Hendryx et al (2010), Hosseintabar Marzoni et al (2015, …”

Section: Data Type Source Articlementioning

confidence: 99%

Spatial epidemiology of cancer: a review of data sources, methods and risk factors

Roquette¹,

Paìnho²,

Nunes

2017

Geospat Health

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Cancer is a major concern among chronic diseases today. Spatial epidemiology plays a relevant role in this matter and we present here a review of this subject, including a discussion of the literature in terms of the level of geographic data aggregation, risk factors and methods used to analyse the spatial distribution of patterns and spatial clusters. For this purpose, we performed a websearch in the Pubmed and Web of Science databases including studies published between 1979 and 2015. We found 180 papers from 63 journals and noted that spatial epidemiology of cancer has been addressed with more emphasis during the last decade with research based on data mostly extracted from cancer registries and official mortality statistics. In general, the research questions present in the reviewed papers can be classified into three different sets: i) analysis of spatial distribution of cancer and/or its temporal evolution; ii) risk factors; iii) development of data analysis methods and/or evaluation of results obtained from application of existing methods. This review is expected to help promote research in this area through the identification of relevant knowledge gaps. Cancer's spatial epidemiology represents an important concern, mainly for public health policies design aimed to minimise the impact of chronic disease in specific populations. IntroductionGiven the relevance of spatial epidemiology in health research and the emphasis of cancer among chronic diseases, as well as the growing amount of studies in this area, it is important to know what the literature says about spatial epidemiology of cancer as well as provide its structured description. According to the World Health Organization (WHO), cancer is a leading cause of death in the world (WHO, 2015). It is also the cause of various morbidities and co-morbidities and can be responsible for loss of years of life years as well as loss of years without disability. Considering the aging population, it is predicted that the number of new cases of cancer will increase by more than 12% over the next decade in the European Union (EU) (DGS, 2013). The fight against cancer is a major challenge in public health. This challenge is due in part to the inequalities in terms of incidence, mortality, and survival. Therefore, a multidisciplinary approach is needed (Bastos et al., 2010). Among the various fields that can contribute to the development of knowledge about this disease, spatial epidemiology plays an important role. It can promote the understanding of spatial and temporal distribution patterns, helping to better identify the risk factors that influence them.Three types of approach can be established in spatial epidemiology: i) mapping; ii) geographic correlation; and iii) clustering (Elliott and Wartenberg, 2004). Mapping or map design regarding health and disease situations is the most often mentioned and used of these three approaches. Further, geographic correlation studies have the goal to spatially compare the health with several types of factors such as e...

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“…A similar pattern was reported from the United States, where a higher incidence of liver cancer was seen among Arab and Korean immigrants [126][127][128] DeChello [29] Colorectal cancer To determine whether observed geographic variations in the incidence of colorectal cancer (CRC) were random, statistically significant, temporary or persistent, or can be explained by risk factors such as socioeconomic status (SES)…”

Section: Gastro-intestinal Tract Cancermentioning

confidence: 61%

An eight-year snapshot of geospatial cancer research (2002–2009): clinico-epidemiological and methodological findings and trends

et al. 2010

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Geographic information systems (GIS) offer a very rich toolbox of methods and technologies, and powerful research tools that extend far beyond the mere production of maps, making it possible to cross-link and study the complex interaction of disease data and factors originating from a wide range of disparate sources. Despite their potential indispensable role in cancer prevention and control programmes, GIS are underrepresented in specialised oncology literature. The latter has provided an impetus for the current review. The review provides an eight-year snapshot of geospatial cancer research in peer-reviewed literature (2002-2009), presenting the clinico-epidemiological and methodological findings and trends in the covered corpus (93 papers). The authors concluded that understanding the relationship between location and cancer/cancer care services can play a crucial role in disease control and prevention, and in better service planning, and appropriate resource utilisation. Nevertheless, there are still barriers that hinder the wide-scale adoption of GIS and related technologies in everyday oncology practice.

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Spatial analysis of colorectal cancer incidence and proportion of late-stage in Massachusetts residents: 1995–1998

Cited by 42 publications

References 22 publications

Cancer Incidence Rate in the Elderly Inhabitants of Tehran: Is there Really any Cluster?

Cancer Incidence Rate in the Elderly Inhabitants of Tehran: Is there Really any Cluster?

Spatial epidemiology of cancer: a review of data sources, methods and risk factors

An eight-year snapshot of geospatial cancer research (2002–2009): clinico-epidemiological and methodological findings and trends

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