2015
DOI: 10.1210/jc.2015-2691
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Development of a Weighted Cardiometabolic Disease Staging (CMDS) System for the Prediction of Future Diabetes

Abstract: The weighted CMDS score has high model discrimination power for diabetes and can be used clinically to identify patients for weight loss therapy based on differential risk for future diabetes.

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Cited by 33 publications
(34 citation statements)
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References 38 publications
(28 reference statements)
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“…In addition, Guo and Garvey further discussed that metabolic risks have different impacts across different gender and racial groups, making specific predictive tools more valuable to clinicians. For that reason, they provided gender-and race-specific CMDS scores as well (39). Our study demonstrates a higher predictive and discriminative ability of the CMDS score for mortality compared with the EOSS score.…”
Section: The Interpretation Of Pseudo-r 2 (Kent and O'quigley And Roymentioning
confidence: 72%
“…In addition, Guo and Garvey further discussed that metabolic risks have different impacts across different gender and racial groups, making specific predictive tools more valuable to clinicians. For that reason, they provided gender-and race-specific CMDS scores as well (39). Our study demonstrates a higher predictive and discriminative ability of the CMDS score for mortality compared with the EOSS score.…”
Section: The Interpretation Of Pseudo-r 2 (Kent and O'quigley And Roymentioning
confidence: 72%
“…(5) The predictive value of metabolic syndrome traits differs according to race. The components of the metabolic syndrome with the highest predictive power for diabetes were waist circumference in black men, 2-h plasma glucose in black women, and fasting glucose in both white men and white women [8].…”
Section: Mitochondria and Nafld; Leptin And Diabetic Ketoacidosismentioning
confidence: 99%
“…Given the high prevalence of DBCD, risk stratification will be critically important from both the perspective of risk-benefit and cost-effectiveness in bringing more aggressive therapies to those patients at highest risk at each stage of preven-tion/treatment. For example, using the Cardiometabolic Disease Staging system-a T2D risk stratification strategy employing the number of MetS traits and presence of prediabetes-demonstrates that a medicine-assisted weightloss intervention can prevent T2D in high-risk individuals with lower numbers-needed-to-treat than in low-risk individuals (55,165,166).…”
Section: Dysglycemia-based Chronic Disease-a New Multimorbidity T2d Mmentioning
confidence: 99%