MedTrace Logo

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

NCT02461381 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2021-01-06

No results posted yet for this study

Summary

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.

Conditions

  • Diabetic Cardiovascular Autonomic Neuropathy (DCAN)

Interventions

OTHER

not intervention

This is a cross-sectional study for estimation of diagnostic performance.

Sponsors & Collaborators

  • Shanghai Tongji Hospital, Tongji University School of Medicine

    lead OTHER

Principal Investigators

  • Zihui Tang, M.D and Ph.D · Shanghai Tongji Hospital, Tongji University School of Medicine

Eligibility

Min Age
30 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2013-01-31
Primary Completion
2018-08-31
Completion
2020-08-31

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02461381 on ClinicalTrials.gov