RESUMO
Our aim was to investigate the geographic and time distributions of some biologically similar neoplasms in dogs and humans living in Michigan, USA, between 1964 and 1994. Our objective was to describe and compare the patterns of cancer in the two species while assessing the strength and dependence of those patterns. In this retrospective, registry-based study, histologically confirmed incident human and canine cancer cases were mapped, and second-order (K function) spatial analysis and one-dimensional nearest neighbor temporal analysis were performed on residence addresses and dates of hospital discharge/diagnosis. Included in the study were all 528 incident cases of canine lymphosarcoma, mammary adenocarcinoma, melanoma and spindle-cell sarcomas diagnosed at a veterinary teaching hospital between 1964 and 1994 having residence addresses in Ingham, Oakland, and Wayne Counties; and a stratified random sample of 913 incident human cases of comparable cancers diagnosed during the same time period from the same counties. Results suggest that processes determining spatial aggregation of cases in dogs and humans were not independent of each other, did not act uniformly over different geographic areas, operated at spatial scales <2000 m regardless of species, and tend to act upon dogs more strongly at shorter distances than on humans. Little evidence of interspecies concurrence of temporal clustering was found.
Assuntos
Adenocarcinoma/veterinária , Neoplasias da Mama/epidemiologia , Linfoma não Hodgkin/veterinária , Neoplasias Mamárias Animais/epidemiologia , Melanoma/veterinária , Sarcoma/veterinária , Neoplasias Cutâneas/veterinária , Adenocarcinoma/epidemiologia , Animais , Cães , Geografia , Humanos , Incidência , Linfoma não Hodgkin/epidemiologia , Melanoma/epidemiologia , Michigan/epidemiologia , Linhagem , Vigilância da População , Sistema de Registros , Estudos Retrospectivos , Sarcoma/epidemiologia , Neoplasias Cutâneas/epidemiologiaRESUMO
Although rates are commonly used to compare regional disease occurrence, rate-independent methods might also be useful in circumstances where geographic occurrence of a disease is known, but calculation of disease rates is not feasible. This is frequently the case for diseases in companion animals, where accurate enumeration of populations-at-risk is often arduous. This study had two objectives: to demonstrate a rate-independent method for investigating disease aggregation in companion animals; and, to assess the spatial and temporal clustering of canine cases of four cancers that are biologically similar in dogs and humans. Geographic information systems and point-pattern analysis were used to assess the spatial and temporal clustering of incident cases of four types of canine cancer in three counties in Michigan between 1964 and 1994, and to generate hypotheses concerning disease aggregation. Significant (P < or = 0.01) spatial clustering was found that varied by county and cancer type. No definitive temporal patterns could be deduced from a temporal analysis of the cases of canine cancer in this study. These results demonstrate distance-based methods for assessing clustering of disease, and suggest that processes determining the aggregation of canine cancer cases do not act in a spatially uniform manner.
Assuntos
Doenças do Cão/epidemiologia , Neoplasias/veterinária , Animais , Cães , Feminino , Geografia , Incidência , Masculino , Michigan/epidemiologia , Neoplasias/epidemiologia , Fatores de TempoRESUMO
Selected examples of animal models for human connective tissue diseases are reviewed, with emphasis on those which can be verified by genetic, immunologic, and biochemical studies. Desnick et al. have stated that the study of animal models in inborn errors of metabolism will "have a dramatic impact on the future development and evaluation of effective therapies for a variety of human enzyme diseases." It is hoped that these discussions, including comments on the importance of animal models for specific human diseases of the connective tissue, will yield significant benefits in human health.