Health Canada does not test pet meters for variances and plays no role in assuring their accuracy and I seriously doubt the FDA does either. Admittedly the 20% variance is an assumption but I think it's a reasonable one. I'm sure the veterinarian community would demand standards that meet human standards.
They are still trying to get human meters to read more accurately and here in Canada the variance allowed is 15% and I believe the US is heading toward that goal too. My assumption is that the AT2 meter regardless of marketing material provided, would read within 20% overall for all BG ranges. The standards set out for human meters requires the accuracy of the meters be less variable in very low or very high BG ranges. That means a certain % of readings in high or low ranges have to have better accuracy while the rest can be out as much as 15% or 20%.
Bottom line....if it were possible to make a glucometer that was accurate 100% of the time to within 5% of lab results, Health Canada, the FDA and the entire human medical profession, would be jumping all over it. There are more accurate glucometers (10% variance allowance) used in hospital settings but the cost of them is prohibitive for general population use. If pet meters were that accurate, it seems logical to assume the costs of using one would also be far more cost prohibitive than it already is.
I'd love to see that study to know how many tests they did and who did it. The strip documentation indicates they took 50 readings on BG samples between 82 and 497mg/dL and came up with a variation coefficient of 5.3% which is a probability figure not an absolute. I have to wonder what the variability would have shown on readings below 82 where it really matters and question why lower readings were not included in the figures presented.
The AT2 meter is the same meter as the old version of the FreeStyle Freedom Lite with a different colour case and different algorithms. It uses the same strips as the Freestyle Freedom Lite so there is nothing special about the meter or the strips (other than the batch testing) that would make it capable of being more accurate than the human meter. That means the only difference that could possibly affect accuracy would be in the algorithms so it seems to me if it were that simple to make a meter accurate to within 5% with the algorithms alone, that accuracy would also be available in human meters.