ArticleBMC cancer2023
Exploring the geospatial epidemiology of breast cancer in Iran: identifying significant risk factors and spatial patterns for evidence-based prevention strategies.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Molecular signatures of breast cancer in the Iranian population: a review of cell growth and cell cycle regulators.Journal of cancer research and clinical oncology · 2025Pooled it
- A systematic review of spatial and temporal epidemiological approaches, focus on lung cancer risk associated with particulate matter.BMC public health · 2024Pooled it
- Cost-effectiveness of AI-enhanced breast cancer screening in Iran: a microsimulation study.Health economics review · 2026Article
- Characteristics of Breast Cancer Patients in Northeastern Iran: A Retrospective Cohort Study.Breast cancer : basic and clinical research · 2026Article
- National and Subnational Burden of Female Breast Cancer in Iran from 2010 to 2021.Diseases (Basel, Switzerland) · 2025Article
- Advanced machine learning framework for thyroid cancer epidemiology in Iran through integration of environmental socioeconomic and health system predictors.Scientific reports · 2025Article
- Association of portfolio diet score with breast cancer risk: insights from a case-control analysis.BMC cancer · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
backgroundBreast Cancer (BC) is a formidable global health challenge, and Iran is no exception, with BC accounting for a significant proportion of women's malignancies. To gain deeper insights into the epidemiological characteristics of BC in Iran, this study employs advanced geospatial techniques and feature selection methods to identify significant risk factors and spatial patterns associated with BC incidence.
methodsUsing rigorous statistical methods, geospatial data from Iran, including cancer-related, sociodemographic, healthcare infrastructure, environmental, and air quality data at the provincial level, were meticulously analyzed. Age-standardized incidence rates (ASR) are calculated, and different regression models are used to identify significant variables associated with BC incidence. Spatial analysis techniques, including global and local Moran's index, geographically weighted regression, and Emerging hotspot analysis, were utilized to examine geospatial patterns, identify clustering and hotspots, and assess spatiotemporal distribution of BC incidence.
resultsThe findings reveal that BC predominantly affects women (98.03%), with higher incidence rates among those aged 50 to 79. Isfahan (ASR = 26.1) and Yazd (ASR = 25.7) exhibit the highest rates. Significant predictors of BC incidence, such as marriage, tertiary education attainment rate, physician-to-population ratio, and PM2.5 air pollution, are identified through regression models.
conclusionThe study's results provide valuable information for the development of evidence-based prevention strategies to reduce the burden of BC in Iran. The findings underscore the importance of early detection, health education campaigns, and targeted interventions in high-risk clusters and adjacent regions. The geospatial insights generated by this study have implications for policy-makers, researchers, and public health practitioners, facilitating the formulation of effective BC prevention strategies tailored to the unique epidemiological patterns in Iran.
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