Cancer registry databases: an overview of techniques of statistical analysis and impact on cancer epidemiology.
Cancer registries provide systematically collected information on cancer incidence, prevalence, mortality, and survival of different cancers. Aggregated and de-identified patient-level information on cancer is available for analysis from individual cancer registries, nationally from the Surveillance, Epidemiology, and End Results program, the Centers for Diseases Control and Prevention, the North American Association of Central Cancer Registries; and internationally from the International Association of Cancer Registries. Over the past few decades, the type and extent of cancer-related information captured by different cancer registries have been greatly expanded by linkage with other population-based information sources, such as the census data and the Centers for Medicare and Medicaid Services claims data. In addition, sophisticated statistical analytical techniques have been developed that have greatly expanded the traditional purview of cancer registries focused on descriptive epidemiology and disease quantification to a much broader analytical horizon ranging from study of cancer etiology; rare cancers in specific demographic groups; interaction of environmental and genetic factors in causation of cancer; impact of co-morbidities, race, geographic, socioeconomic, and provider-related factors on access, diagnosis, and treatment; outcomes and end results of cancer treatment; and cancer control initiatives to diverse areas of cancer care disparity, public health policy, public health education, and importantly, cost-effectiveness of cancer care. Thus, it is not surprising that cancer registries have increasingly become indispensable parts of local, national, and international cancer control programs, and it is certain that cancer registries will continue to be extraordinary resources of information for clinicians, researchers, scientists, policy makers, and the public in our fight against cancer.
Das
Ananya
A
Department of Medicine, Mayo College of Medicine, Mayo Clinic, Scottsdale, AZ, USA.
D016208:Databases, Factual / Q000706:statistics & numerical data*; D006801:Humans; D015994:Incidence; D008403:Mass Screening; D009369:Neoplasms / Q000175:diagnosis / Q000453:epidemiology / Q000517:prevention & control*; D015995:Prevalence; D012042:Registries / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology