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Trial registered on ANZCTR
Registration number
ACTRN12609000371291
Ethics application status
Approved
Date submitted
12/03/2009
Date registered
27/05/2009
Date last updated
4/03/2019
Date data sharing statement initially provided
4/03/2019
Date results provided
4/03/2019
Type of registration
Retrospectively registered
Titles & IDs
Public title
Prospective evaluation of a model to predict outcomes following Endovascular Aortic Aneurysm Repair (EVAR)
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Scientific title
Prospective evaluation of an interactive model for endovascular aortic aneurysm repair (EVAR) developed to allow clinicians to preoperatively predcit the likelihood of individual failure based on perioperative & aneurysm-related mortality, need for reintervention, type I and II endoleaks and 3 year survival.
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Secondary ID [1]
297601
0
Nil Known
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Universal Trial Number (UTN)
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Trial acronym
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Abdominal Aortic Aneurysm
4462
0
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Condition category
Condition code
Surgery
4729
4729
0
0
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Other surgery
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Intervention/exposure
Study type
Observational
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Patient registry
True
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Target follow-up duration
3
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Target follow-up type
Years
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Description of intervention(s) / exposure
This study does not evaluate the EVAR procedure, but rather obtain detailed information in order to further refine the existing predictive model.
Participants in this study will require elective, non-urgent EVAR repair.
Participants will attend a pre-opreative appointment, followed by a post-operative review within 6 weeks of EVAR, at 6 months and then follow up appointments annually for three years. Biomarkers will be collected pre-operatively and at every follow up visit to assess whether specific biomarkers are able to predict the incidence of postoperative EVAR failure and hence contribute further to the predictive model.
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Intervention code [1]
4205
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Not applicable
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Comparator / control treatment
No control.
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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To prospectively evaluate and improve an interactive model for endovascular aortic aneurysm repair (EVAR) developed to allow clinicians to preoperatively predict the likelihood of individual failure based on perioperative and aneurysm-related mortality, need for reintervention, type I & III endoleaks and survival.
Participants will undergo detailed vascular assessments at the preoperative appointment, and at each follow up. Participants will also have a Computed Tomography (CT) or Ultrasound performed at every visit, standard blood tests +/- biomarkers and concomitant medication and adverse event assessment.
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Assessment method [1]
5600
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Timepoint [1]
5600
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Up to 3 years post-EVAR
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Secondary outcome [1]
9427
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To assess whether specific biomarkers are able to predict the incidence of postoperative EVAR failure and hence contribute to the predictive model.
Participants who elect to undertake this separate component of the study will have blood samples taken pre-operatively, and at every follow up appointment. Blood samples will be analysed by Professor Jonathan Golledge, James Cook University.
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Assessment method [1]
9427
0
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Timepoint [1]
9427
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3 years post-EVAR
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Eligibility
Key inclusion criteria
-Individuals 50 years of age or older
-Elective and non-urgent EVAR repair
-All propriety brands, cases in which fenestrated or branch grating is performed
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Minimum age
50
Years
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Maximum age
No limit
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Sex
Both males and females
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Can healthy volunteers participate?
No
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Key exclusion criteria
-Ruptured aneurysms
-patients who are mentally or intellectually impaired and cannot make an informed decision
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Study design
Purpose
Natural history
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Duration
Longitudinal
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Selection
Defined population
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Timing
Prospective
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Statistical methods / analysis
Multinomial logistic regression determined which preoperative variables best predicted each outcome. Area under Receiver Operating Characteristic curve (ROC), model p-value and internal validation statistics were used to select the best model.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
1/01/2009
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Actual
24/03/2009
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Date of last participant enrolment
Anticipated
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Actual
31/05/2013
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Date of last data collection
Anticipated
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Actual
31/10/2015
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Sample size
Target
1000
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Accrual to date
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Final
695
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Recruitment in Australia
Recruitment state(s)
NSW,QLD,SA,VIC
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Recruitment outside Australia
Country [1]
1676
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United Kingdom
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State/province [1]
1676
0
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Funding & Sponsors
Funding source category [1]
4652
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Government body
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Name [1]
4652
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Natinal Health and Medical Research Council (NHMRC)
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Address [1]
4652
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GPO Box 1421
Canberra ACT 2601
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Country [1]
4652
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Australia
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Primary sponsor type
Government body
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Name
NHMRC
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Address
GPO Box 1421
Canberra ACT 2601
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
4199
0
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Country [1]
4199
0
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
6688
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Central Northern Adelaide Health Service Ethics of Human Research Committee
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Ethics committee address [1]
6688
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The Queen Elizabeth Hospital 28 Woodville Road Woodville SA 5011
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Ethics committee country [1]
6688
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Australia
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Date submitted for ethics approval [1]
6688
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27/10/2008
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Approval date [1]
6688
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09/12/2008
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Ethics approval number [1]
6688
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2008162
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Summary
Brief summary
The primary aim of this project is to prospectively evaluate and improve an interactive model for predicting outcomes for individual patients following endovascular aortic aneurysm repair (EVAR). The model was developed to allow clinicians to preoperatively predict the likelihood of individual failure based on the following outcomes: perioperative and aneurysm-related mortality, need for reintervention, type I & III endoleaks and 3 year survival. The secondary aim is to assess whether specific biomarkers are able to predict the incidence of postoperative EVAR failure and hence contribute to the predictive model. This study will include 1000 patients who require elective, non-urgent EVAR repair, recruited at multiple sites over a 2 year period. Data will be collected for a minimum of 3 years from the time a patient is enrolled into the study. Active endovascular surgeons at participating hospitals will be responsible for ensuring the data submission forms are completed for the duration of patient involvement in the study. The University of Adelaide, Department of Surgery in Adelaide, will administer the study and assign a team of data coordinators, researchers, statisticians, and programmers to undertake this study. Data will be collected preoperatively, immediately post-operatively and at follow up. Patients will be reviewed at 30-days and at six months post-operatively, and then annually for three years. Biomarkers will also be collected pre-operatively and at each follow up vsit for the duration of the study.
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Trial website
Website not available
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
29384
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Prof Robert Fitridge
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Address
29384
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Discipline of Surgery,
The University of Adelaide,
The Queen Elizabeth Hospital,
Woodville South,
South Australia 5011
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Country
29384
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Australia
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Phone
29384
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+61 8222 7711
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Fax
29384
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=61 8 8222 6082
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Email
29384
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[email protected]
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Contact person for public queries
Name
12631
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Robert Fitridge
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Address
12631
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Discipline of Surgery,
The University of Adelaide,
The Queen Elizabeth Hospital,
Woodville South,
South Australia 5011
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Country
12631
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Australia
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Phone
12631
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+61 8 8222 7711
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Fax
12631
0
+61 8 8222 6082
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Email
12631
0
[email protected]
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Contact person for scientific queries
Name
3559
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Robert Fitridge
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Address
3559
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Discipline of Surgery,
The University of Adelaide,
The Queen Elizabeth Hospital,
Woodville South,
South Australia 5011
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Country
3559
0
Australia
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Phone
3559
0
+61 8 8222 7711
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Fax
3559
0
+61 8 8222 6082
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Email
3559
0
[email protected]
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Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
No
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No/undecided IPD sharing reason/comment
Our patient data is potentially identifiable, therefore for reasons of confidentiality, the data will not be available. However, data dictionaries are available on request.
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
1465
Other
https://doi.org/10.6084/m9.figshare.7121777.v1
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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