Investigating the geographical distribution of skin cancer (BCC type) in Ardabil province via GIS

Dandi, Pravin P.; Aaudichya, Abhay S.; Juneja, Iliyas A.; Vaishnani, Bhavesh V.; Bhatt, Jatin

doi:10.18203/2320-6012.ijrms20150332

Cited by 5 publications

(7 citation statements)

References 13 publications

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“…In this study, both forms of skin cancer were more common in men (60.1%), and the men: women ratio was 1.56, which is in line with the reports of the IARC 26 and previous studies. 6,7,9,13,21,23,25,27 Apart from the issue of hijab in women which hinders sunlight exposure, the higher incidence of skin cancer in men could be related to the higher rate of outdoor occupations in men and the subsequent exposure to sunlight and other carcinogenic factors. 3,27 In our study, the highest and lowest ASR of skin cancer was observed in people aged ≥ 85 years for non-melanoma and melanoma, 0-4 years for non-melanoma, and 5-14 years for melanoma.…”

Section: Discussionmentioning

confidence: 99%

“…6,7,9,13,21,23,25,27 Apart from the issue of hijab in women which hinders sunlight exposure, the higher incidence of skin cancer in men could be related to the higher rate of outdoor occupations in men and the subsequent exposure to sunlight and other carcinogenic factors. 3,27 In our study, the highest and lowest ASR of skin cancer was observed in people aged ≥ 85 years for non-melanoma and melanoma, 0-4 years for non-melanoma, and 5-14 years for melanoma. In a previous study in the Golestan province in 2004, which was conducted only on men, the rate of skin cancer was highest in subjects aged 80-84 years old.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Incidence Rates and Time Trends of Skin Cancer in Golestan Province, Northeastern Iran, 2005-2018

Mehri,

Karazhian,

Nikyar

et al. 2024

Arch Iran Med

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<strong data-sider-select-id="c4eca48f-f2e1-46ae-adb3-8a97798e9dda">Background: Given the significant occurrence of skin cancer in the Middle East and the existing research gap concerning its incidence and trends, this research aimed to study the epidemiology and trend changes of skin cancer in the Golestan province, Northeastern Iran. <strong data-sider-select-id="8fae1a9c-595a-4748-968f-820a1e9b804e">Methods: The Golestan Population-based Cancer Registry’s (GPCR’s) data bank was utilized to gather information on confirmed skin cancer cases in the province during 2005–2018. We used Poisson regression analysis for comparing incidence rates between groups. P values less than 0.05 were considered statistically significant. <strong data-sider-select-id="53599cb7-6e93-4ecc-8b6e-91b459173ba3">Results: Of 1690 patients (mean age: 62.05±15.83 years), most were male (60.1%) and resided in urban areas (61.5%). The agestandardized rate (ASR) of non-melanoma and melanoma skin cancer was 8.49 and 0.56 per 100000 persons-year, respectively. A notably higher ASR for non-melanoma skin cancer (NMSC) was observed in men (ASR: 10.60; 95% CI: 9.91-11.29) (P<0.01) and urban residents (ASR: 10.19; 95% CI: 9.52-10.82) (P<0.01). There was no significant difference in the ASR of melanoma skin cancer based on gender (P=0.24) and place of residence (P=0.48). The incidence trend of melanoma (estimated annual percent change [EAPC]: -3.28; 95% CI: -18.54 to 14.83) and NMSC (EAPC: 0.39; 95% CI: -3.99 to 4.97) did not differ significantly. <strong data-sider-select-id="4041d4e6-6791-4654-a215-c9366be754d4">Conclusion: During the 14-year study period, the ASR of both types of skin cancer exhibited a consistent pattern, except for NMSC, which showed higher rates among men and urban residents. This should be taken into consideration when formulating preventive and control strategies in the study area.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Incidence Rates and Time Trends of Skin Cancer in Golestan Province, Northeastern Iran, 2005-2018

Mehri,

Karazhian,

Nikyar

et al. 2024

Arch Iran Med

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“…The researchers employed WINBUGS, ArcGIS, and fully Bayesian models for data analysis and identi cation of high-risk areas (21). Mohebbipour et al (2015) utilized GIS to investigate the geographic distribution of BCC in Ardabil province. Necessary details such as age, gender, profession, and BCC site were derived from the patients' records.…”

Section: Introductionmentioning

confidence: 99%

“…Necessary details such as age, gender, profession, and BCC site were derived from the patients' records. The results indicated that for cancer prevention, instructional measures should be given emphasis, and people should be educated on the use of personal protective equipment (22). Skin cancer incidence was investigated using spatial analysis by Pakzad et al (2016) in a national study in Iran.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Skin Cancer: Separating Body Parts Exposed and Not Exposed to the Sun

Tabari¹,

Mohammadi²,

Mostafavi³

et al. 2021

Preprint

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Introduction: Skin cancer is among the most common cancer categories with an increasing global trend of incidence rate. This study explores the spatial distribution of skin cancer, considering body sites exposed and not exposed to sunshine separately. Methods: We used 4302 skin cancer cases recorded by Fars Cancer Registry in southwestern Iran for over six years (2011-2017). The variables included in the study were patients' residence address, gender, age, report date, and final topographical code. The patients' addresses were geocoded to the counties of the study area. Skin cancer sites were categorized based on sun exposure in male and female cases. We used the empirical Bayesian smoothing approach to estimate the skin cancer incidence rate at the county level. Finally, Anselin's Local Moran's Index was used to identify the high-risk skin cancer occurrence areas. Results: In general, skin cancer incidence increased in the study area over the study period (mid-March 2011 to mid-March 2017). Out of 4302 patients with skin cancer, 2602 cases (60%) were male. The age- and sex-specific rate of reported cases with skin cancer was higher in the 80-89 age group (in both male and female genders) compared to other age groups. There were some high-risk spatial clusters of skin cancer in the study area. Further investigations are required to identify the underlying cause of the formation of these clusters.Conclusions: Patients exposed to sunshine, especially among the male group, experienced much higher rates of cancer occurrence as compared to unexposed individuals. With a heterogeneous spatial pattern, hotspots were identified in non-sun-exposed and sun-exposed categories in the study area. Researchers and policymakers can significantly benefit from the spatial analyses of skin cancer incidence. These analyses can provide useful and timely prevention policies as well as tailored monitoring techniques in high-risk regions.

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Modelling and predicting the spatial dispersion of skin cancer considering environmental and socio-economic factors using a digital earth approach

Masoumi

Genderen

Mesgari

2018

International Journal of Digital Earth

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Investigating the geographical distribution of skin cancer (BCC type) in Ardabil province via GIS

Cited by 5 publications

References 13 publications

Incidence Rates and Time Trends of Skin Cancer in Golestan Province, Northeastern Iran, 2005-2018

Incidence Rates and Time Trends of Skin Cancer in Golestan Province, Northeastern Iran, 2005-2018

Spatial Analysis of Skin Cancer: Separating Body Parts Exposed and Not Exposed to the Sun

Modelling and predicting the spatial dispersion of skin cancer considering environmental and socio-economic factors using a digital earth approach

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