In the article listed above, the source of funding for the study was not specified. The study was funded by an Institutional Grant of the Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples.

Also, the MAGE data were manually calculated according to the method of Service et al., as reported on page 2077 of the article. Post hoc analysis of the original research data by automated algorithm EasyGV (EasyGV, Version 9.0, by Nathan R. Hill, www.easygv.co.uk) found differences in MAGE values obtained by the two different calculation methods, but confirmed that 1) vildagliptin significantly lowered MAGE and 2) vildagliptin had a stronger reduction in MAGE than sitagliptin. In addition, the EasyGV analysis showed that sitagliptin has a significant effect on MAGE reduction. The results of these analyses are reported in Tables A and B below. As expected, the EasyGV analyses of the data support the discussion of the results and confirm the conclusions reported in the article.

Table A

Glucose metabolism, MAGE calculated manually and by EasyGV method before and 12 weeks after sitagliptin 100 mg once daily or vildagliptin 50 mg twice daily

Glucose metabolism, MAGE calculated manually and by EasyGV method before and 12 weeks after sitagliptin 100 mg once daily or vildagliptin 50 mg twice daily
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Glucose metabolism, MAGE calculated manually and by EasyGV method before and 12 weeks after sitagliptin 100 mg once daily or vildagliptin 50 mg twice daily
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Table B

Differences between treatments (after 12 weeks and baseline)

Differences between treatments (after 12 weeks and baseline)
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Differences between treatments (after 12 weeks and baseline)
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© 2014 by the American Diabetes Association.
2014
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