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Trial registered on ANZCTR
Registration number
ACTRN12624000499583
Ethics application status
Approved
Date submitted
20/03/2024
Date registered
23/04/2024
Date last updated
23/04/2024
Date data sharing statement initially provided
23/04/2024
Date results provided
23/04/2024
Type of registration
Retrospectively registered
Titles & IDs
Public title
Massive transfusion in adult patients undergoing liver transplantation
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Scientific title
Ultra-massive transfusion in adult patients during liver transplantation: a retrospective single centre observational study
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Secondary ID [1]
311456
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None
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Universal Trial Number (UTN)
U1111-1303-6538
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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:
Liver transplantation
332754
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Outcome after ultra-massive blood transfusion
332755
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Condition category
Condition code
Surgery
329476
329476
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0
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Surgical techniques
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Anaesthesiology
329746
329746
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0
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Anaesthetics
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Oral and Gastrointestinal
330088
330088
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0
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Other diseases of the mouth, teeth, oesophagus, digestive system including liver and colon
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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
This study will use patient data from a single-centre to investigate the association of ultra-massive transfusion and in-hospital complications in adult patients undergoing liver transplantation from 1 January 2019 to 1 January 2023.
Ultra-Massive Transfusion is a relatively new term that has generally been accepted to describe the transfusion of >20 units of packed red blood cells (RBC) in 24 hours.
Using routinely collected in-hospital data from the patients electronic medical records, this study will identify the proportion of adult patients who undergo liver transplantation who receive an ultra-massive transfusion. Ultra-massive fluid transfusion will defined a priori as a total transfusion > 20 liters of crystalloids, colloids, blood, and coagulation factors adminsitered intraoperatively and within 24-hours post surgery.
Pre-operative risk factors for necessitating ultra-massive transfusion will be investigated. Secondary aims will investigate the relationship between the amount of pack red blood cells transfused and postoperative complications until hospital discharge. Mortality will be collected until 3 years post transplant. Finally, we will evaluate the effects of the co-transfused fresh frozen plasma to packed red blood cells ratio on postoperative complications. and mortality up until 3 years post-transplant.
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Intervention code [1]
328086
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Not applicable
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Comparator / control treatment
No control group.
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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The proportion of adult patients who receive an ultra massive transfusion during liver transplantation
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Assessment method [1]
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Ultra-Massive Transfusion is defined as the transfusion of >20 units of packed red blood cells (RBC) in 24 hours. The data will be extracted from the patient medical records.
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Timepoint [1]
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Intraoperatively and during the first 24 hours postoperatively
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Secondary outcome [1]
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To investigated the relationship between the amount of pack RBC transfused during liver transplantation and postoperative complications. Complications will be assessed and graded by the Clavier Dindo Classification system. Complications will include bleeding requiring blood and blood products, bile leak, hepatic artery or vein thrombosis, liver abscess, return to theatre for bleeding, infection, primary graft non-function, or re-transplantation or readmission within 30 days post transplant.
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Assessment method [1]
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Correlation with medical records
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Timepoint [1]
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Complications will be assessed postoperatively until 30 days post hospital discharge.
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Secondary outcome [2]
432252
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To evaluated the association of coagulation therapy administered and the number of red blood units transfused intraoperatively until hospital discharge.
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Assessment method [2]
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Correlation with medical records
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Timepoint [2]
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Intraoperatively until 24-hours post surgery.
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Secondary outcome [3]
432253
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Length of hospital stay
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Assessment method [3]
432253
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Correlation with medical records
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Timepoint [3]
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From time of admission to time of hospital discharge (or death, if patient dies as an inpatient)
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Secondary outcome [4]
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To investigated the relationship between the amount of pack RBC transfused during liver transplantation and mortality.
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Assessment method [4]
434338
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Correlation with medical records
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Timepoint [4]
434338
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Mortality will be measured at one, two, and three years post transplant.
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Eligibility
Key inclusion criteria
Inclusion Criteria:
1. Adult patient
2. Undergoing liver transplantation surgery
3. Patient receives ultra-massive transfusion
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Minimum age
18
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
1. Paediatric patients
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Study design
Purpose
Screening
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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
Based on a preliminary search, we expect the total sample size for the project to be between 100-200 patients.
This sample size is sufficient to meet the research aims and answer the research questions because it provides accurate data that facilitates understanding of the extent of association between ultra-massive transfusion and post-operative outcomes in adult patients undergoing liver transplantation surgery.
The statistical analysis plan has been designed with a biostatistician.
All statistical analysis will be performed with R 4.3.2( R: A language and environment for statistical computing, R core Team (2023), Vienna, Austria). Continuous variables will be evaluated for normality assumption using Shapiro’s test and visual check of Q-Q plots. Data will be presented with mean ± standard deviation(SD), median (1st to 3rd quartiles) [Min:Max], or number of cases (percentile) for the descriptive statistics, and any estimated values will be described with 95% confidence intervals (CI).
Statistical results will be presented with P values and corresponding effect sizes. A 2-sided P value below 0.05 will be considered statistical significance based on the null hypothesis significance testing, and the number of effects will be evaluated with the estimated effect sizes.
For the primary objective, we will explore meaningful categorization criteria for the number of units of intraoperative pack RBC transfused. Several data points of the amount of pack RBC transfusion will be evaluated: arithmetic mean, non-parametric statistics (median, quantiles), best-coordinated point by Receiver-Operator Curve (ROC) analysis, and Youden index, cut points from a decision tree model.
The response variables will be categorized as worst complication grade (no complication to Clavien Dindo grade IIIa vs. Clavien Dindo grade IIIb or higher) and number of complications (no complications to two complications vs. three or more complications). In the context of data balance between categorized groups and unadjusted comparative results, we will formulatesubgroups according to the amount of pack RBC transfusion: less than ten units, 10 to 14 units, and 15 or more units.
The effect of pack RBC transfusion subgroups and administered blood volume during surgery will be adjusted with the following variables: age, body mass index, MELD score, preoperative prothrombin time, preoperative albumin, preoperative platelet, preoperative haemoglobin, preoperative fibrinogen, use of veno-veno bypass, surgery duration, intraoperative noradrenaline (highest dose), baseline pO2, HCO3-, calcium, lactate and d-dimer.
The Bayesian approach will be applied to the logistic or linear regression modeling to estimate the adjusted coefficient of subgroups.
The Markov Chain Monte Carlo (MCMC) estimation process will be conducted. Fitted models will be evaluated with appropriate MCMC diagnostic plots, including posterior distribution density and trace plots. Predicted values from the fitted model will be assessed with a posterior predict checks plot.
Residuals will be evaluated with a visual check of residual plot and residual distribution. Auto-correlation will be diagnosed using visualization of auto-correlation of MCMC samples. The R ^ and effective sample size (ESS) will also be evaluated for MCMC diagnostics. ESS, bulk ESS, and tail ESS will be evaluated with a visual check of ESS bar graphs for each parameter.
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
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Actual
26/03/2024
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Date of last participant enrolment
Anticipated
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Actual
17/04/2024
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Date of last data collection
Anticipated
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Actual
19/04/2024
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Sample size
Target
105
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Accrual to date
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Final
95
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Recruitment in Australia
Recruitment state(s)
VIC
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Recruitment hospital [1]
26221
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Austin Health - Austin Hospital - Heidelberg
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Recruitment postcode(s) [1]
42189
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3084 - Heidelberg
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Funding & Sponsors
Funding source category [1]
315735
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Hospital
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Name [1]
315735
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Austin Health - Department of Anaesthesia
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Address [1]
315735
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Country [1]
315735
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Australia
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Primary sponsor type
Hospital
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Name
Austin Health - Department of Anaesthesia
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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]
317849
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Address [1]
317849
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Country [1]
317849
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
314600
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Austin Health Human Research Ethics Committee
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Ethics committee address [1]
314600
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https://www.austin.org.au/Office-for-Research/
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Ethics committee country [1]
314600
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Australia
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Date submitted for ethics approval [1]
314600
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09/03/2024
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Approval date [1]
314600
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25/03/2024
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Ethics approval number [1]
314600
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HREC/105884/Austin-2024
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Summary
Brief summary
This study will investigate the proportion of adults patients who undergo liver transplantation who receive an ultra massive transfusion. Ultra-Massive Transfusion is a relatively new term that has generally been accepted to describe the transfusion of >20 units of packed red blood cells in 24 hours. There is a paucity of literature on ultra massive transfusion, which has almost exclusively been studied in the context of trauma surgery, where it is associated poorer postoperative outcomes and increased mortality. This retrospective single centre study will use electronic medical records from the Austin Health database from 1st Jan 2019 to to 1st January 2023. We will evaluate the outcomes and complications in patients undergoing liver transplant surgery who receive ultra-massive transfusion. These results may be used to aid prognostication of post-operative liver transplant patients, as well as identify, and therefore modify, factors that may predispose patients to poorer post-operative outcomes, ultimately aiming to reduce overall morbidity and mortality in this patient cohort.
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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, 145 Studley Road, Austin Health, Heidelberg VIC 3084
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Country
132138
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Australia
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Phone
132138
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+61 3 9496 3800
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Fax
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Email
132138
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[email protected]
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Contact person for public queries
Name
132139
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Prof Laurence Weinberg
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Address
132139
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Department of Anaesthesia, 145 Studley Road, Austin Health, Heidelberg VIC 3084
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Country
132139
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Australia
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Phone
132139
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+61 3 9496 3800
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Fax
132139
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Email
132139
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[email protected]
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Contact person for scientific queries
Name
132140
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Prof Laurence Weinberg
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Address
132140
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Department of Anaesthesia, 145 Studley Road, Austin Health, Heidelberg VIC 3084
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Country
132140
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Australia
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Phone
132140
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+61 3 9496 3800
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Fax
132140
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Email
132140
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[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
Participant confidentiality will be maintained by only reporting aggregate results.
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What supporting documents are/will be available?
No Supporting Document Provided
Doc. No.
Type
Citation
Link
Email
Other Details
Attachment
21905
Ethical approval
[email protected]
387270-(Uploaded-01-04-2024-19-09-20)-Study-related document.pdf
21906
Statistical analysis plan
[email protected]
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