Bayesian Estimation of Diagnostic Performance of Diabetic Cardiovascular Autonomic Neuropathy Without a Gold Standard

This study aimed to estimate sensitivities and specificities of diabetic cardiovascular autonomic neuropathy (DCAN) diagnostic tests using the Bayesian approach without a gold standard in another independence dataset.The reference the values for the short-term HRV were calculated in the investigators' previous study (including 371 healthy subjects). This study dataset contained 200 diabetic patients who completed both the short-term HRV test and Ewing's test. Simultaneous inferences about the population prevalence and the performance of each diagnostic test were possible using the Bayesian approach without a gold standard.