ArticleScientific reports2019
Bayesian spatial analysis of cholangiocarcinoma in Northeast Thailand.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand.One health (Amsterdam, Netherlands) · 2026Article
- Ontology development and use for cholangiocarcinoma risk factors and predictions: a term enrichment data analysis and machine learning classification.Journal of biomedical semantics · 2026Article
- Knowledge gaps and risk behaviors among cat owners inOpen veterinary journal · 2025Article
- Spatial analysis of cholangiocarcinoma in relation to diabetes mellitus and Opisthorchis viverrini infection in Northeast Thailand.Scientific reports · 2024Article
- Spatio-Temporal Analysis of Cholangiocarcinoma in a High Prevalence Area of Northeastern Thailand: A 10-Year Large Scale Screening Program.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Human Vγ9Vδ2 T cell expansion and their cytotoxic responses against cholangiocarcinoma.Scientific reports · 2024Article
- Spatial prediction of the probability of liver fluke infection in water resource within sub-basin using an optimized geographically-weighted regression model.Frontiers in veterinary science · 2024Article
- Spatial analysis of cholangiocarcinoma in Thailand from 2012 to 2021; a population-based cancer registries study.PloS one · 2024Article
- Association of Cholangiocarcinoma among People with Periductal Fibrosis.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Current prevalence and geographic distribution of helminth infections in the parasitic endemic areas of rural Northeastern Thailand.BMC public health · 2023Article
- Bayesian Disease Mapping to Identify High-Risk Population for Oral Cancer: A Retrospective Spatiotemporal Analysis.International journal of dentistry · 2023Article
- RAW ATTITUDES: Socio-Cultures, Altered Landscapes, and Changing Perceptions of an Underestimated Disease.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2023Article
- Article
- Associations between ultrasound screening findings and cholangiocarcinoma diagnosis in an at-risk population.Scientific reports · 2022Article
- Serum Angiopoietin-Like Protein 4: A Potential Prognostic Biomarker for Prediction of Vascular Invasion and Lymph Node Metastasis in Cholangiocarcinoma Patients.Frontiers in public health · 2022Article
- Prediction of Angiopoietin-like Protein 4-related Signaling Pathways in Cholangiocarcinoma Cells.Cancer genomics & proteomicsArticle
- Behavioral Medicine in Cholangiocarcinoma: Bridging the Gap Between Biology and Behavior.Cancer control : journal of the Moffitt Cancer CenterReview
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cholangiocarcinoma (CCA) is a malignant neoplasm of the biliary tract. Thailand reports the highest incidence of CCA in the world. The aim of this study was to map the distribution of CCA and identify spatial disease clusters in Northeast Thailand. Individual-level data of patients with histopathologically confirmed CCA, aggregated at the sub-district level, were obtained from the Cholangiocarcinoma Screening and Care Program (CASCAP) between February 2013 and December 2017. For analysis a multivariate Zero-inflated, Poisson (ZIP) regression model was developed. This model incorporated a conditional autoregressive (CAR) prior structure, with posterior parameters estimated using Bayesian Markov chain Monte Carlo (MCMC) simulation with Gibbs sampling. Covariates included in the models were age, sex, normalized vegetation index (NDVI), and distance to water body. There was a total of 1,299 cases out of 358,981 participants. CCA incidence increased 2.94 fold (95% credible interval [CrI] 2.62-3.31) in patients >60 years as compared to ≤60 years. Males were 2.53 fold (95% CrI: 2.24-2.85) more likely to have CCA when compared to females. CCA decreased with a 1 unit increase of NDVI (Relative Risk =0.06; 95% CrI: 0.01-0.63). When posterior means were mapped spatial clustering was evident after accounting for the model covariates. Age, sex and environmental variables were associated with an increase in the incidence of CCA. When these covariates were included in models the maps of the posterior means of the spatially structured random effects demonstrated evidence of spatial clustering.
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