- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02461381
Bayesian Estimation of Diagnostic Performance of Diabetic Cardiovascular Autonomic Neuropathy Without a Gold Standard
January 5, 2021 updated by: Zihui Tang, Shanghai Tongji Hospital, Tongji University School of Medicine
Bayesian Estimation of Diagnostic Performance of Short-term Heart Rate Variability for Diabetic Cardiovascular Autonomic Neuropathy in the Absence of 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.
Study Overview
Status
Completed
Intervention / Treatment
Detailed Description
The CAN prevalence is rapidly growing in all populations worldwide.
No document has been reported diagnostic performance of short-term heart rate variability (HRV) for diabetic cardiovascular autonomic neuropathy (DCAN) in the Chinese population.
This study aimed to estimate sensitivities and specificities of DCAN diagnostic tests using the Bayesian approach, in the absence of 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 subjects 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.
Study Type
Observational
Enrollment (Anticipated)
200
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Shanghai
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Shanghai, Shanghai, China, 200065
- Shanghai Tongji Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
30 years to 90 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
Diabetic patients with inclusion and exclusion criteria were recruited from healthy examination centres to assess cardiovascular autonomic function using both the short-term heart rate variability and Ewing's tests.
Description
Inclusion Criteria:
- Survey diabetic participants with undiagnosed CAN, aged 30-90 years, were included in this study.
Exclusion Criteria:
Some subjects were excluded from the study to eliminate potential confounding factors that may have influenced their CA function. Briefly, the exclusion criteria were as follows:
- history or findings of arrhythmia, and hyperthyroidism or hypothyroidism;
- pregnancy or lactation; and/or
- serious hepatic or renal dysfunctions.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Dr.Tang's research group
This group included diabetic participants with completed both the short-term HRV test and Ewing's test.
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This is a cross-sectional study for estimation of diagnostic performance.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Diabetic cardiovascular autonomic function evaluate by short-term heart rate variability test
Time Frame: participants will be measured for the duration of outpatient stay, an expected average of two days
|
Both short-term heart rate variability and Ewing's test measure diabetic cardiovascular autonomic function
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participants will be measured for the duration of outpatient stay, an expected average of two days
|
Diabetic cardiovascular autonomic function evaluate by Ewing's test
Time Frame: participants will be measured for the duration of outpatient stay, an expected average of two days
|
Both short-term heart rate variability and Ewing's test measure cardiovascular autonomic function
|
participants will be measured for the duration of outpatient stay, an expected average of two days
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Zihui Tang, M.D and Ph.D, Shanghai Tongji Hospital, Tongji University School of Medicine
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Li Z, Tang ZH, Zeng F, Zhou L. Associations between the severity of metabolic syndrome and cardiovascular autonomic function in a Chinese population. J Endocrinol Invest. 2013 Dec;36(11):993-9. doi: 10.3275/9005. Epub 2013 Jun 17.
- Tang ZH, Zeng F, Yu X, Zhou L. Bayesian estimation of cardiovascular autonomic neuropathy diagnostic test based on baroreflex sensitivity in the absence of a gold standard. Int J Cardiol. 2014 Feb 15;171(3):e78-80. doi: 10.1016/j.ijcard.2013.11.100. Epub 2013 Dec 6. No abstract available.
- Zeng F, Tang ZH, Li Z, Yu X, Zhou L. Normative reference of short-term heart rate variability and estimation of cardiovascular autonomic neuropathy prevalence in Chinese people. J Endocrinol Invest. 2014 Apr;37(4):385-91. doi: 10.1007/s40618-013-0047-4. Epub 2014 Jan 9.
- Tang ZH, Wang L, Zeng F, Li Z, Yu X, Zhang K, Zhou L. Bayesian estimation of cardiovascular autonomic neuropathy diagnostic test based on short-term heart rate variability without a gold standard. BMJ Open. 2014 Oct 6;4(9):e005096. doi: 10.1136/bmjopen-2014-005096.
- Tang ZH, Liu J, Zeng F, Li Z, Yu X, Zhou L. Comparison of prediction model for cardiovascular autonomic dysfunction using artificial neural network and logistic regression analysis. PLoS One. 2013 Aug 5;8(8):e70571. doi: 10.1371/journal.pone.0070571. Print 2013. Erratum In: PLoS One. 2017 Apr 25;12 (4):e0176771.
- Chen J, Yang SB, Liu J, Tang ZH. Diagnostic performance analysis for diabetic cardiovascular autonomic neuropathy based on short-term heart rate variability using Bayesian methods: preliminary analysis. Diabetol Metab Syndr. 2015 Sep 10;7:74. doi: 10.1186/s13098-015-0070-z. eCollection 2015. Erratum In: Diabetol Metab Syndr. 2017 Feb 16;9:14.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2013
Primary Completion (Actual)
August 1, 2018
Study Completion (Actual)
August 1, 2020
Study Registration Dates
First Submitted
June 1, 2015
First Submitted That Met QC Criteria
June 2, 2015
First Posted (Estimate)
June 3, 2015
Study Record Updates
Last Update Posted (Actual)
January 6, 2021
Last Update Submitted That Met QC Criteria
January 5, 2021
Last Verified
January 1, 2021
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- DCANHRVB_Dr.Tang
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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