A Survey to Evaluate the Rate of Abnormal Glucose Tolerance Among Hong Kong Chinese Subjects With Coronary Heart Disease
NCT ID: NCT00786175
Last Updated: 2015-08-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
WITHDRAWN
OBSERVATIONAL
2008-10-31
2018-12-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
A cross-sectional survey is planned to study the rate of undiagnosed diabetes and glucose intolerance among the Chinese patients with coronary heart disease in Hong Kong. The survey results will be important for us to plan the logistics to investigate and manage the potential glucose abnormality of our heart disease patient.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
A Survey to Evaluate the Cardiovascular Risk Status of Subjects With Pre-Diabetes in Hong Kong
NCT00786890
Progression From Impaired Fasting Glucose to Diabetes Mellitus Among Chinese
NCT03617757
Prediction to Detect Pre-DM/DM in a Chinese Population
NCT05116319
Can HbA1c Replace OGTT for the Diagnosis of Diabetes Mellitus Among Chinese Patients With IFG?
NCT02439684
Development and Validation of DM and Pre-DM Risk Prediction Model
NCT04881383
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
The investigators plan to conduct a cross-sectional survey to study the rate of undiagnosed diabetes and glucose intolerance among the Chinese patients with coronary heart disease in Hong Kong. The survey results will be important for us to plan the logistics to investigate and manage the potential glucose abnormality of our heart disease patient.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
CASE_ONLY
RETROSPECTIVE
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. Subjects admitted to Hospital Authority hospital as in-patients (AHNH) with the diagnosis of coronary heart disease (ICD code 410-414) during the period 1 April 2007 to 31 March 2008.
3. Subjects admitted to AHNH for the procedure Percutaneous Coronary Intervention (PCI) to manage coronary heart disease.
Exclusion Criteria
2. Patients with terminal malignancy or other life-threatening diseases with less than 6-month expected survival
3. Patients with a mental condition rendering the subject unable to understand the nature, scope, and possible consequences of the study
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Chinese University of Hong Kong
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Juliana Chan
Chair Professor of Medicine and Therapeutics
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Gary Ko, MD
Role: PRINCIPAL_INVESTIGATOR
Asia Diabetes Foundation
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Hong Kong Institute of Diabetes and Obesity
Hong Kong, , China
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CRE-2008.336
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.