Variations in the spatial distribution of gall bladder cancer: A call for collaborative action

Krishnatreya, Manigreeva; Saikia, Anup; Kataki, AC; Sharma, Jyoti; Baruah, Mrinal

doi:10.4103/2141-9248.141984

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…Spatial analysis of the incidence of gallbladder cancer has rarely been conducted, and only a few studies have been performed to explore the regional distribution of gallbladder cancer mortality rates and their associated factors [ 22 – 24 ]. Moreover, in the case of the above studies, the only factor expected to affect gallbladder cancer mortality was living near industrial areas, or even if potential determinants including typhoid fever, ethnicity, socioeconomic status, and cholecystectomy were considered, there was a limitation in their spatial analyses, namely that autocorrelation was not considered.…”

Section: Discussionmentioning

confidence: 99%

Spatial epidemiologic analysis of the liver cancer and gallbladder cancer incidence and its determinants in South Korea

2021

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Background There have been reports on regional variation in prevalence of hepatitis B and C, and Clonorchis sinensis (C. sinensis) infection, which indicates potential of spatial variation in liver cancer and gallbladder cancer incidence in Korea. Therefore, we aimed to assess the regional variation of liver and gallbladder cancer incidence and its determinants based on the regional distribution of risk factors, including hepatitis B infection in Korea. Methods This study used an ecological study design and district-level cancer incidence statistics generated by the National Cancer Center. Spatial clusters of liver and gallbladder cancer incidence were detected based on spatial scan statistics using SaTScan™ software. We set the size of maximum spatial scanning window of 25 and 35% of the population at risk for analyses of liver and gallbladder cancer, respectively. Significance level of 0.05 was used to reject the null hypothesis of no cluster. We fitted the Besag-York-Mollie model using integrated nested Laplace approximations to assess factors that influence the regional variation in cancer incidence. Results Spatial clusters with high liver cancer incidence rates were detected in the southwestern and southeastern regions of Korea. High gallbladder cancer incidence rates are clustered in the southeastern region. Regional liver cancer incidence can be accounted for the prevalence of high household income (coefficient, − 0.10; 95% credible interval [CI], − 0.18 to − 0.02), marital status (coefficient, − 0.14; 95% CI, − 0.25 to − 0.03), the incidence of hepatitis B (coefficient, 0.87; 95% CI, 0.29 to 1.44), and liver cancer screening (coefficient, 0.06; 95% CI, 0.00 to 0.12), while gallbladder cancer incidence was related to the prevalence of high household income (coefficient, − 0.03; 95% CI, − 0.05 to 0.00) and living close to a river with a high prevalence of liver fluke infection (coefficient, 0.55; 95% CI, 0.14 to 0.96). Conclusions This study demonstrated geographic variation in liver and gallbladder cancer incidence, which can be explained by determinants such as hepatitis B, income, marital status, and living near a river.

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Section: Discussionmentioning

confidence: 99%

Spatial epidemiologic analysis of the liver cancer and gallbladder cancer incidence and its determinants in South Korea

2021

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“…Previous GIS-based health studies have focused on the spatial distribution of a specific disease or phenomenon, such as cancer or trauma emergencies [ 6 19 20 ]. Tennant et al, having published a number of articles on the dental field associated with the GIS analysis, performing studies mostly on public and private practice locations and the spatial distribution of a disease [ 13 14 21 ].…”

Section: Discussionmentioning

confidence: 99%

Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital

Jeong

Joo

Shin

et al. 2016

J Periodontal Implant Sci

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PurposeThe aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases.MethodsBasic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution.ResultsThe visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient’s regional center to the hospital was 30.94±29.62 km and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was 52.41±12.97 years. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses.ConclusionsThe distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

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“…[8][9][10][11] In India, its highest distribution has been seen in the states like Uttar Pradesh, Bihar, Orissa, West Bengal, Assam and Delhi (National Capital Territory). [12][13][14][15] The cancer is two folds more common in women in comparison to men. 16 Population based data reveals that the incidences of these disease is very high in the northern cities (22 per 100,000) and low (0-0.7 per 100,000 women) in southern India.…”

Section: Introductionmentioning

confidence: 99%

Arsenic Induced Gallbladder Cancer Risk in Eastern Part of Indo-Gangetic Plains

Kumar

Ali

Raj

et al. 2022

Preprint

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BackgroundIn recent times Gallbladder cancer (GBC) incidences increased many folds in India. Majority of GBC cases are being reported from arsenic hotspots identified in Bihar. MethodsIn this prospective study volunteers were selected who underwent surgery in our cancer institute. There were 11 control benign gallbladder cases and 28 confirmed gallbladder cancer cases. Their biological samples such as blood, gallbladder tissue, gallbladder stone, bile and hair samples were collected for arsenic estimation. Moreover, n=512 gallbladder cancer patients blood samples were evaluated for the presence of arsenic to understand exposure level in the population. ResultsA significantly high arsenic concentration (p<0.05) was detected in the blood samples, gallbladder tissue, gallstones, bile and hair samples in comparison to the control group. Moreover, n=512 blood samples of GBC patients had significantly very high arsenic concentration. ConclusionsThe study shows very high arsenic concentration observed in the blood, gallbladder tissue, gallbladder stone, bile and hair samples in GBC cases in comparison to the benign control cases indicates the correlation between chronic arsenic exposure and gallbladder cancer incidences in eastern Indo-Gangetic plains region. The study also makes an attempt to establish the likely correlation/association between arsenic exposure and gallbladder cancer disease.

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Variations in the spatial distribution of gall bladder cancer: A call for collaborative action

Cited by 9 publications

References 4 publications

Spatial epidemiologic analysis of the liver cancer and gallbladder cancer incidence and its determinants in South Korea

Spatial epidemiologic analysis of the liver cancer and gallbladder cancer incidence and its determinants in South Korea

Geographic information system analysis on the distribution of patients visiting the periodontology department at a dental college hospital

Arsenic Induced Gallbladder Cancer Risk in Eastern Part of Indo-Gangetic Plains

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