Definitions
Personal Data
This is information that identifies the person that it relates to and contains information or identifiers that either by itself or when combined with other information, can identify the person the data relates e.g. name, date of birth, address, contact information, etc.
Deidentified Data
Also known as pseudonymised data. This is patient data where information that will identify the person (e.g. name, date of birth, address, contact information) has been removed or replaced by a code that cannot be traced back to the person the information relates to.
Anonymised Data
This is information which cannot be traced back to an individual and you cannot identify the person the information relates. It is not personal data.
Data held by CVAG and Usage
Researchers affiliated to the Cardiovascular Analytics Group (CVAG) have access to, hold and utilise healthcare data from their own academic or clinical appointments at their respective institutions, and are responsible for obtaining the appropriate approval from local ethics committees. However, the CVAG, as a group, does not hold any personal data. The CVAG regularly searches for deidentified and anonymised datasets published in public repositories.
Where the work arises from analysis of datasets published online, or where permission to use information from a database/repository is not required, for example where it is publicly available and unrestricted re-use is permitted via an open license, a statement to explain this is included within the manuscript.
For further information and details regarding the use of big data in biomedical research, see:
https://link.springer.com/article/10.1007/s41649-019-00097-z
https://authorservices.taylorandfrancis.com/editorial-policies/research-ethics-and-consent/
China:
Ref. No., Scientific Title and Named Investigator on Ethics Application
UW 20-250
A retrospective study on the relationship between infections, laboratory biomarkers, comorbidities and adverse outcomes: comparisons between different antihypertensive drug classes
Dr. TSE Gary
2019.422
Electrocardiographic and echocardiographic indices of atrial and ventricular remodelling in patients with heart failure and valvular heart disease
Prof. TSE Gary
2019.361
Evaluating the aetiologies of ventricular arrhythmias: a comparative study
Dr. TSE Gary
2019.338
ECG abnormalities in patients with Brugada syndrome, long QTsyndrome, myocarditis, endocarditis and myocardial infarction and their relationships to arrhythmic and mortality outcomes
Dr. TSE Gary
2018.655
Characterization of electrophysiological and mechanical properties in bioengineered tissues using induced pluripotent stem cell-derived cardiomyocytes from Brugada and dilated cardiomyopathy patients
Dr. TSE Gary
2018.644
Cardiovascular adverse outcome associated with the use of anti-PD-1/PD-L1 antibodies
Dr. TSE Gary
2018.643
Investigation of cardiovascular outcomes of in-patients with pro-inflammatory states: a comparative study based on different drug classes
Dr. TSE Gary
2018.462
Validating clinical database derived frailty index in high risk population
Dr. TSE Gary
2018.309
Investigation of the association between haematological parameters and clinical outcomes of in-patients with pro-inflammatory state
Dr. TSE Gary
2017.457
Diagnostic and prognostic values of longitudinal strain by automated function imaging in acute coronary syndrome
Prof. TSE Gary
2017.312
Asia MicraTM Registry
Dr. TSE Gary
2017
Evaluating the validity of the novel conduction-repolarization indices for the stratification of arrhythmic risk in Brugada syndrome patients
Dr. TSE Gary