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Trial registered on ANZCTR
Registration number
ACTRN12625000297426
Ethics application status
Approved
Date submitted
2/04/2025
Date registered
15/04/2025
Date last updated
15/04/2025
Date data sharing statement initially provided
15/04/2025
Type of registration
Retrospectively registered
Titles & IDs
Public title
The effect of body weight on outcomes in elderly patients with critical illness
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Scientific title
The effect of body mass index on outcomes in nonagenarians and centenarians with critical illness
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Secondary ID [1]
314107
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None
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Universal Trial Number (UTN)
U1111-1321-0967
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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:
Mortality
336895
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Intensive care
336894
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Body mass index
336897
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Post operative complications
336896
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Condition category
Condition code
Physical Medicine / Rehabilitation
333364
333364
0
0
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Other physical medicine / rehabilitation
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Diet and Nutrition
333367
333367
0
0
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Obesity
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Public Health
333365
333365
0
0
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Health service research
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Surgery
333366
333366
0
0
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Other surgery
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
In this study we will be observing the postoperative outcomes in patients aged greater than 90 years who have been at admitted to Intensive Care Unit (ICU) across Australia and New Zealand.
The main outcome being observed is hospital mortality. Secondary outcomes include ICU mortality, invasive treatments prescribed in ICU, including mechanical ventilation, renal replacement therapy, and use of vasoactive medications and inotropes. The duration of observation will be from ICU admission to death in either ICU or hospital.
The exposure will include nonagenarians who are underweight (body mass index < 18.5 kg/m2), or overweight (body mass index between 25.0 kg/m2 and 30.0 kg/m2.
Data will be extracted from the Australian and New Zealand Intensive Care Adult Patient Database for patients admitted to the ICU between 2010 and 2023.
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Intervention code [1]
330680
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Diagnosis / Prognosis
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Comparator / control treatment
The control will include nonagenarians who are normal weight i.e. a body mass index between 18.5 kg/m2 and 25.0 kg/m2.
Data will be extracted from the Australian and New Zealand Intensive Care Adult Patient Database for patients admitted to the ICU between 2010 and 2023.
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Control group
Historical
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Outcomes
Primary outcome [1]
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The second primary outcome will be to evaluate hospital mortality in nonagenarians admitted to intensive care with high and low body mass indexes, and compare these patients to those with a normal body mass index. This will be a binary outcome measure of whether patients survive or do not survive their hospital admission.
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Assessment method [1]
340942
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This information will be sourced from the Society (ANZICS) Adult Patient Database, which provides comprehensive information on patient demographics, clinical characteristics, interventions, and outcomes from ICUs across Australia and New Zealand.
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Timepoint [1]
340942
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The timepoint will from admission to ICU to death in the hospital.
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Primary outcome [2]
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The primary outcome will be to evaluate intensive care mortality in nonagenarians admitted to intensive care with high and low body mass indexes and compared those patients thsoe with a normal body mass index. This will be a binary outcome measure of whether patients survive or do not survive their ICU admission.
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Assessment method [2]
340941
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This information will be sourced from the Society (ANZICS) Adult Patient Database, which provides comprehensive information on patient demographics, clinical characteristics, interventions, and outcomes from ICUs across Australia and New Zealand.
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Timepoint [2]
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The timepoint will be from admission to ICU to death in ICU.
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Secondary outcome [1]
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Other secondary outcomes will include hospital length of stay, measured from hospital admission to hospital discharge or death. Predictors of hospital stay will also be analyzed,
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Assessment method [1]
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Hospital length of stay will be assessed in days. De-identified data will be extracted from the Australian and New Zealand Intensive Care. This will be measured in hours and days and the data will be sourced from the Society (ANZICS) Adult Patient Database, which provides comprehensive information on patient demographics, clinical characteristics, interventions, and outcomes from ICUs across Australia and New Zealand.
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Timepoint [1]
445940
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This will be calculated retrospectively from admission to hospital, to hospital discharge or death.
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Secondary outcome [2]
445942
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Other secondary outcomes will include whether patients were prescribed invasive treatments ICU. These will be a composite outcome of mechanical ventilation, renal replacement therapy, and use of vasoactive medications and inotropes. The duration of observation will be from ICU admission to death in ICU or hospital.
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Assessment method [2]
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Invasive treatments will be assessed as a binary outcome i.e., were they received or not received. De-identified data will be extracted from the Australian and New Zealand Intensive Care. The data will be sourced from the Society (ANZICS) Adult Patient Database, which provides comprehensive information on patient demographics, clinical characteristics, interventions, and outcomes from ICUs across Australia and New Zealand.
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Timepoint [2]
445942
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asas
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Secondary outcome [3]
445542
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The secondary outcome will include ICU length of stay, measured from ICU admission to ICU discharge. Predictors of length of ICU stay will also be assessed.
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Assessment method [3]
445542
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ICU hospital length of stay will be assessed in hours. De-identified data will be extracted from the Australian and New Zealand Intensive Care. This will be measured in hours and days and the data will be sourced from the Society (ANZICS) Adult Patient Database, which provides comprehensive information on patient demographics, clinical characteristics, interventions, and outcomes from ICUs across Australia and New Zealand.
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Timepoint [3]
445542
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This will be calculated retrospectively from admission to ICU, to ICU discharge or ICU death.
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Eligibility
Key inclusion criteria
Inclusion criteria will be patients aged >90 years and <100 years who require an admission to the ICU for any indication.
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Minimum age
90
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
None
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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
Retrospective
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Statistical methods / analysis
Baseline characteristics will be reported as counts and percentages and means with standard deviations, or medians and interquartile ranges (IQRs) where data were non-normally distributed.
Missing data will be considered missing completely at random (MCAR). Patients with missing height, weight, or outcomes will be excluded from the analysis. All other missing data will be imputed using multivariate imputation by chained equations with 20 imputations and 40 iterations.
We will use entropy balancing for the continuous exposure of body mass index (BMI) to produce a balanced patient cohort for causal effect analysis. Entropy balancing is an inverse probability weighting method that guarantees perfect balance for all covariates. Average exposure-response functions (AERFs) will be used to assess the impact of the exposure (BMI) on the expected potential outcome across the full range of the exposure values. An omnibus Wald-type test will be used to determine AERF significance to the null hypothesis.
Logistic and linear regression analyses will also conducted on the balanced cohort for each primary and secondary outcome across BMI subgroups.
We plan to apriori conduct a subgroup analysis, including only patients with known chronic cardiovascular disease (CVD) upon ICU admission, to examine outcomes in a cohort who were the subject of previous publications on the ‘obesity paradox’ topic. The obesity paradox refers to the observation that, in certain medical conditions, being overweight or mildly obese appears to be associated with better survival outcomes compared to being of normal weight or underweight.
Effect estimates will be presented as odds ratios or adjusted mean differences. Results will be considered significant if P < 0.05. All statistical analyses will be conducted in R. The WeightThem package will be used for entropy balancing.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
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Actual
19/11/2024
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Date of last participant enrolment
Anticipated
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Actual
17/01/2025
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Date of last data collection
Anticipated
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Actual
1/04/2025
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Sample size
Target
12510
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Accrual to date
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Final
12510
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Recruitment in Australia
Recruitment state(s)
VIC
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Recruitment hospital [1]
27686
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The Alfred - Melbourne
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Recruitment hospital [2]
27685
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Austin Health - Austin Hospital - Heidelberg
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Recruitment postcode(s) [1]
43873
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3084 - Heidelberg
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Recruitment postcode(s) [2]
43874
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3004 - Melbourne
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Austin Health
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Address [1]
318613
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Country [1]
318613
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Australia
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Primary sponsor type
Government body
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Name
Austin Health
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Address
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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]
321019
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Address [1]
321019
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Country [1]
321019
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
317217
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Alfred Hospital Ethics Committee
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Ethics committee address [1]
317217
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https://www.alfredhealth.org.au/research/ethics-research-governance
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Ethics committee country [1]
317217
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Australia
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Date submitted for ethics approval [1]
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15/02/2024
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Approval date [1]
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30/04/2024
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Ethics approval number [1]
317217
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Project No: 253/24
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Summary
Brief summary
This retrospective, observational cohort study will include nonagenarians admitted to the ICU between 2010 and 2023 across Australia and New Zealand. The study will utilise data from the Australian and New Zealand Intensive Care Society (ANZICS) Adult Patient Database. Who is it for? You are eligible if you are greater than 90 years old and admitted to ICI. Patients will be categorized into those with a normal body mass index and thiose with either a high or low body mass index. Study details This study will evaluate the short-term effects of body mass index on ICU and hospital mortality, length of stay, and mortality-associated factors. We hope these findings will emphasise the importance of shared decision-making that respects patient autonomy and considers clinical, cultural, and systemic factors.
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Laurence Weinberg
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Address
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Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
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Country
140378
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Australia
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Phone
140378
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+61 413244770
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Fax
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Email
140378
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[email protected]
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Contact person for public queries
Name
140379
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Laurence Weinberg
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Address
140379
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Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
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Country
140379
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Australia
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Phone
140379
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+61 413244770
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Fax
140379
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Email
140379
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[email protected]
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Contact person for scientific queries
Name
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Laurence Weinberg
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Address
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Department of Anaesthesia, Austin Health, 145 Studley Road, Heidelberg, VIC, 3084
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Country
140380
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Australia
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Phone
140380
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+61 413244770
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Fax
140380
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Email
140380
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
No IPD sharing reason/comment:
As this is an observational study, patients have not provided consent for their data to be shared.
What supporting documents are/will be available?
No Supporting Document Provided
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.
Download to PDF