Cancer in Appalachia, 2001-2003.

BACKGROUND: Researchers have not been able to examine cancer incidence rates in Appalachia because high-quality data have not been uniformly available across the region. This study is the first to report cancer incidence rates for a large proportion of the Appalachian population and describe the differences in incidence rates between Northern, Central, and Southern Appalachia. METHODS: Forty-four states and the District of Columbia provided information for the diagnosis years 2001 through 2003 from cancer registries that met high-quality data criteria. Eleven of 13 states with counties in Appalachia, covering 88% of the Appalachian population, met these criteria; Virginia and Mississippi were included for 2003 only. SEER(*)Stat was used to calculate age-adjusted rates per 100,000 population and 95% gamma confidence limits. RESULTS: Overall, cancer incidence rates were higher in Appalachia than in the rest of the US; the rates for lung, colon/rectum, and other tobacco-related cancers were particularly high. Central Appalachia had the highest rates of lung (men: 143.8; women: 75.2) and cervical cancer (11.2)-higher than the other 2 regions and the rest of the US. Northern Appalachia had the highest rates for prostate, female breast, and selected other sites, and Southern Appalachia had the lowest overall cancer incidence rates. CONCLUSIONS: Cancer incidence rates in Appalachia are higher than in the rest of the US, and they vary substantially between regions. Additional studies are needed to understand how these variations within Appalachia are associated with lifestyle, socioeconomic factors, urban/rural residence, and access to care.

Missing stage and grade in Maryland prostate cancer surveillance data, 1992-1997.

BACKGROUND: Missing data in cancer surveillance records are common; however, little information exists on the types of cases most likely to have missing data, or how missing data influence research or policy. Two clinical elements often missing in surveillance data are histologic grade and stage of disease. Missing data are either not clinically ascertained or not successfully abstracted. METHODS: Prostate cancer cases (N=22,217) reported to the Maryland Cancer Registry during 1992-1997 were geocoded by residence and analyzed. Multi-level logistic regression was used to examine case attributes and area-level demographic, economic, and health services characteristics predictive of either missing stage or grade. A scanning statistic was used to explore geographic clustering of high and low rates of missing stage and grade within the state, before and after adjustment for significant variables from multi-level models. RESULTS: Older age, black race, missing grade, and higher county-level median income increased the likelihood of missing stage, whereas more recent year of diagnosis, higher blockgroup-level median income, and county-level rurality decreased the likelihood. Older age, missing or later stage, higher blockgroup-level median income, and more urologists per case in one's county of residence increased the likelihood of missing tumor grade, and more recent year of diagnosis, higher county-level median income, and rurality decreased the likelihood. Adjustment reduced statistically significant clusters of missing stage from six to two, and clusters of missing grade from three to zero. CONCLUSIONS: Results suggest systematic influences on missing stage and grade, which could be investigated with case-control follow-back studies.