14 research outputs found
Receiver operator characteristic (ROC) curve of mean value DAS28(ESR) in predicting the development of type 2 diabetes (T2D).
<p>Receiver operator characteristic (ROC) curve of mean value DAS28(ESR) in predicting the development of type 2 diabetes (T2D).</p
Logistic regression analysis for prediction of new-onset impaired fasting glucose.
<p>Logistic regression analysis for prediction of new-onset impaired fasting glucose.</p
Logistic regression analysis for prediction of new-onset type 2 diabetes.
<p>Logistic regression analysis for prediction of new-onset type 2 diabetes.</p
Study design.
<p>* In the pre-recruitment screening phase, patients were excluded if presented: 1) past diagnosis of T2D previously performed by a physician <i>or</i> 2) current or past treatment with antidiabetic medications (including oral antidiabetic drugs and insulin); 3) fasting plasma glucose (FPG) ≥ 126 mg/dL in at least two separate occasions. ** In the recruitment screening phase patients were excluded if fasting plasma glucose (FPG) ≥ 126 mg/dL.</p
Demographic and clinical characteristics of the study cohort.
<p>Demographic and clinical characteristics of the study cohort.</p
Receiver operator characteristic (ROC) curve of mean value DAS28(ESR) in predicting the development of type 2 diabetes (T2D).
<p>Receiver operator characteristic (ROC) curve of mean value DAS28(ESR) in predicting the development of type 2 diabetes (T2D).</p
Therapeutic strategies of the enrolled patients at the first visit.
<p>Therapeutic strategies of the enrolled patients at the first visit.</p
Effectiveness and disease activity evaluation in the enrolled patients.
<p>This Figure shows: A) and B) the progressive reduction of both DAS28 and SDAI values; C) the disease activity at the first observation and after 12 months of follow up, respectively; E) the EULAR response criteria after 12 months of follow up.</p