Key result
RuralDiab score outperforms the ADA score for predicting type 2 diabetes with ~0.72 AUC.
Why the study?
A simple and effective risk score for type 2 diabetes mellitus in middle-aged rural Chinese was needed to improve prediction accuracy.
Does the RuralDiab risk score improve the prediction of undiagnosed type 2 diabetes mellitus compared to existing risk scores in a middle-aged Chinese rural population?
Observational (n=5,453)
No
Does the RuralDiab risk score improve the prediction of undiagnosed type 2 diabetes mellitus compared to existing risk scores in a middle-aged Chinese rural population?
The RuralDiab risk score provides a simple, non-invasive, and effective tool for predicting undiagnosed type 2 diabetes in middle-aged rural Chinese populations, outperforming several existing risk scores.
Answers are grounded in this paper and cite their sources.
May aid T2DM prediction in rural Chinese adults; leaves open superiority over existing scores in diverse populations.
The purpose of this study was to establish a simple and effective risk score for type 2 diabetes mellitus (T2DM) in middle-aged rural Chinese. Total of 5453 participants aged 30-59 years from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study were recruited for establishing the RuralDiab risk score by using logistic regression analysis. The RuralDiab risk score was validated in a prospective study from Henan Province of China, and compared with previous risk scores by using the receiver-operating characteristics cure. Ultimately, sex, age, family history of diabetes, physical activity, waist circumference, history of dyslipidemia, diastolic blood pressure, body mass index were included in the RuralDiab risk score (range from 0 to 36), and the optimal cutoff value was 17 with 67.9% sensitivity and 67.8% specificity. The area under the cures (AUC) of the RuralDiab risk score was 0.723(95%CI: 0.710-0.735) for T2DM in validation population, which was significant higher than the American Diabetes Association score (AUC: 0.636), the Inter99 score (AUC: 0.669), the Oman risk score (AUC: 0.675). The RuralDiab risk score was established and demonstrated an appropriate performance for predicting T2DM in middle-aged Chinese rural population. Further studies for validation should be implemented in different populations.
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Zhou et al. (2017) conducted an observational in Type 2 diabetes mellitus (n=5,453). RuralDiab risk score vs. American Diabetes Association (ADA) score was evaluated on Area under the curve (AUC) for predicting T2DM in the validation population (AUC 0.723, 95% CI 0.710-0.735, p=<0.05). The RuralDiab risk score demonstrated an area under the curve of 0.723 for predicting type 2 diabetes in a middle-aged Chinese rural population, significantly outperforming the ADA score.
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