ABSTRACT PURPOSE: To critically analyze and standardize the rat pancreatectomy nomenclature variants. METHODS: It was performed a review of indexed manuscripts in PUBMED from 01/01/1945 to 31/12/2015 with the combined keywords "rat pancreatectomy" and "rat pancreas resection". The following parameters was considered: A. Frequency of publications; B. Purpose of the pancreatectomy in each article; C. Bibliographic references; D. Nomenclature of techniques according to the pancreatic parenchyma resection percentage RESULTS: Among the 468, the main objectives were to surgically induce diabetes and to study the genes regulations and expressions. Five rat pancreatectomy technique references received 15 or more citations. Twenty different terminologies were identified for the pancreas resection: according to the resected parenchyma percentage (30 to 95%); to the procedure type (total, subtotal and partial); or based on the selected anatomical region (distal, longitudinal and segmental). A nomenclature systematization was gathered by cross-checking information between the main surgical techniques, the anatomic parameters descriptions and the resected parenchyma percentages. CONCLUSION: The subtotal pancreatectomy nomenclature for parenchymal resection between 80 and 95% establishes a surgical parameter that also defines the total and partial pancreatectomy limits and standardizes these surgical procedures in rats.

O objetivo deste trabalho é comparar três interpoladores univariados: inverso do quadrado da distância, curvatura mínima e krigagem ordinária usando observações de precipitação pluvial média anual de 1.027 postos pluviométricos abrangendo todo o Estado de São Paulo, representando área de 248.808,8 km² (2,91% do território nacional), no período de 1957 a 1997. Os mapas de variabilidade espacial não apresentaram grandes diferenças visuais; entretanto, quando a estatística quadrado médio do erro foi calculada para cada técnica, confirmou-se a grande vantagem em usar o interpolador ótimo de krigagem. A diferença entre os valores observados e estimados pela krigagem foi muito menor do que para os outros dois métodos, indicando ser esse o interpolador a ser usado na distribuição espacial de precipitação pluvial média anual para os dados em estudo.

The objective of this paper is to compare three unvaried interpolation algorithms: inverse square distance, minimum curvature and ordinary kriging using observations of annual precipitation average of one thousand and twenty-seven climatic stations including all State of São Paulo, representing an area of approximately 248,808.8 km² (2,91% of the brazilian territory), from 1957 to 1997. The maps of spatial variability didn't present great visual differences, however when the comparison criterion, the mean square error of prediction was calculated for each technique, the great advantage was confirmed by using kriging interpolator. The difference among the observed and predicted values for kriging was much smaller than for the other two methods, indicating to be this the interpolator to be used in the spatial distribution of annual precipitation for this data.