The July 2011 issue of the Journal of Dental Research (JDR) features a study from Columbia University on a simple algorithm that could identify nearly 3 out of 4 cases of unrecognized diabetes or pre-diabetes.1 The screening algorithm evaluated only two dental parameters: number of missing teeth, and percentage of deep periodontal pockets (at least 5 millimeters in depth). Adding a point-of-care glycohemoglobin (HbA1c) test significantly improved identification of diabetic and pre-diabetic individuals, raising screening accuracy to 92 percent sensitivity. The study received national news coverage from United Press International and other news agencies.
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