OBJECTIVE - Our objective was to compare statistical and clinical meth
ods for the evaluation of five self-monitoring blood glucose (SMBG) me
ters. RESEARCH DESIGN AND METHODS - Two successive capillary blood glu
cose measurements were performed, and a simultaneous laboratory venous
glucose measurement was used as the reference value. Accuracy was stu
died by comparing each of the two successive meter values with the ref
erence value by 1) a Spearman's correlation test, 2) a Wilcoxon's pair
ed test, 3) the percentage of values within the 10% interval of the re
ference Value according to the American Diabetes Association consensus
statement, and 4) the error grid analysis. RESULTS - The first two me
thods did not discriminate between the SMBG systems: r was >0.92 for t
he five meters, and a significant difference between the meter and ref
erence values was found for all but one meter. The two other methods a
llowed classification of the devices into three groups according to th
eir accuracy: good (two meters), acceptable (two meters), and unaccept
able tone meter). These two methods gave consistent results and both h
ad a good reproducibility, because the classification was similar for
the two successive measurements. CONCLUSIONS - Both the Spearman's and
Wilcoxon's paired tests, although commonly used, are inappropriate to
evaluate SMBG systems. The percentage of SMBG values within the +/-10
% interval and the error grid analysis are more accurate, because they
consistently classified the five glucose meters tested in our study w
ith a high degree of reproducibility;