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Biomedical subjects

Francis P Boscoe

Publications and source records attributed to Francis P Boscoe.

6 recordsLinked to original sources

Solar ultraviolet-B exposure and cancer incidence and mortality in the United States, 1993-2002.

BACKGROUND: An inverse relationship between solar ultraviolet-B (UV-B) exposure and non-skin cancer mortality has long been reported. Vitamin D, acquired primarily through exposure to the sun via the skin, is believed to inhibit tumor development and growth and reduce mortality for certain cancers. METHODS: We extend the analysis of this relationship to include cancer incidence as well as mortality, using higher quality and higher resolution data sets than have typically been available. Over three million incident cancer cases between 1998 and 2002 and three million cancer deaths between 1993 and 2002 in the continental United States were regressed against daily satellite-measured solar UV-B levels, adjusting for numerous confounders. Relative risks of reduced solar UV-B exposure were calculated for thirty-two different cancer sites. RESULTS: For non-Hispanic whites, an inverse relationship between solar UV-B exposure and cancer incidence and mortality was observed for ten sites: bladder, colon, Hodgkin lymphoma, myeloma, other biliary, prostate, rectum, stomach, uterus, and vulva. Weaker evidence of an inverse relationship was observed for six sites: breast, kidney, leukemia, non-Hodgkin lymphoma, pancreas, and small intestine. For three sites, inverse relationships were seen that varied markedly by sex: esophagus (stronger in males than females), gallbladder (stronger in females than males), and thyroid (only seen in females). No association was found for bone and joint, brain, larynx, liver, nasal cavity, ovary, soft tissue, male thyroid, and miscellaneous cancers. A positive association between solar UV-B exposure and cancer mortality and incidence was found for anus, cervix, oral cavity, melanoma, and other non-epithelial skin cancer. CONCLUSION: This paper adds to the mounting evidence for the influential role of solar UV-B exposure on cancer, particularly for some of the less-well studied digestive cancers. The relative risks for cancer incidence are similar to those for cancer mortality for most sites. For several sites (breast, colon, rectum, esophagus, other biliary, vulva), the relative risks of mortality are higher, possibly suggesting that the maintenance of adequate vitamin D levels is more critical for limiting tumor progression than for preventing tumor onset. Our findings are generally consistent with the published literature, and include three cancer sites not previously linked with solar UV-B exposure, to our knowledge: leukemia, small intestine, and vulva.

Epidemiologic Studies↗

Effects of randomization methods on statistical inference in disease cluster detection.

Monte Carlo methods are commonly used to assess the statistical significance of disease clusters. This usually involves permuting the observed outcome measure, such as the rate of disease, across the geographic units within the study area. When the variance of the disease rates is heterogeneous, however, randomizing the disease rate across the geographic units results in over-estimating the p-values in areas of low variance and under-estimating the p-values in areas of high variance. This bias results in under-ascertainment of clusters in urban areas and over-ascertainment of clusters in rural areas. As an alternative, randomizing the number of cases of disease or deaths proportional to the population at risk preserves the variance structure of the study area, therefore resulting in unbiased statistical inference. We compare results from randomizing rates with those from randomizing case counts, using county-level prostate cancer mortality data for the United States and ZIP-Code level prostate cancer incidence data for New York State, using the local Moran's I statistic.

Bias↗

Current practices in spatial analysis of cancer data: data characteristics and data sources for geographic studies of cancer.

The use of spatially referenced data in cancer studies is gaining in prominence, fueled by the development and availability of spatial analytic tools and the broadening recognition of the linkages between geography and health. We provide an overview of some of the unique characteristics of spatial data, followed by an account of the major types and sources of data used in the spatial analysis of cancer, including data from cancer registries, population data, health surveys, environmental data, and remote sensing data. We cite numerous examples of recent studies that have used these data, with a focus on etiological research.

Journal Article↗

Visualization of the spatial scan statistic using nested circles.

We propose a technique for the display of results of Kulldorff's spatial scan statistic and related cluster detection methods that provides a greater degree of informational content. By simultaneously considering likelihood ratio and relative risk, it is possible to identify focused sub-clusters of higher (or lower) relative risk among broader regional excesses or deficits. The result is a map with a nested or contoured appearance. Here the technique is applied to prostate cancer mortality data in counties within the contiguous United States during the period 1970-1994. The resulting map shows both broad and localized patterns of excess and deficit, which complements a choropleth map of the same data.

Humans↗