Development of a Type 2 Diabetes Risk Model From a Panel of Serum Biomarkers From the Inter99 Cohort
Response to Kolberg et al.
- Wolfgang Rathmann, MD, MSPH1,
- Bernd Kowall, PHD1 and
- Matthias B. Schulze, DRPH2
- 1Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany;
- 2Public Health Nutrition Unit, Technische Universität München, Freising, Germany.
- Corresponding author: Wolfgang Rathmann, rathmann{at}ddz.uni-duesseldorf.de.
Kolberg et al. (1) report from the Inter99 cohort that a risk score incorporating six biomarkers (adiponectin, C-reactive protein, ferritin, interleukin-2 receptor A, glucose, and insulin) is useful in the prediction of type 2 diabetes and could be recommended as a tool for identification of high-risk individuals. So far, however, there is little evidence that a procedure based partly on nonroutinely measured biomarkers is superior to risk scores based on personally known variables or on routinely measured clinical data.
An area under the receiver operating characteristic curve (AROC) of 0.76 is reported by the investigators, indicating a rather moderate diagnostic accuracy of the …
