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Trial details imported from ClinicalTrials.gov
For full trial details, please see the original record at
https://clinicaltrials.gov/study/NCT04946188
Registration number
NCT04946188
Ethics application status
Date submitted
22/04/2021
Date registered
30/06/2021
Titles & IDs
Public title
Translating Biometric Data Into Blood Glucose Levels
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Scientific title
Non-invasive Monitoring to Translate the Biometric Data of Participants With Diabetes Into Blood Glucose Levels
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Secondary ID [1]
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2020-02-099
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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:
Diabetes Type 2
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Condition category
Condition code
Metabolic and Endocrine
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Diabetes
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Intervention/exposure
Study type
Interventional
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Description of intervention(s) / exposure
Treatment: Devices - Opuz NICGM
Experimental: Opuz NICGM - Participants will be provided with one non-invasive, custom-built prototype device (study device), which they will use throughout their day-to-day life/activities over the study period.
Treatment: Devices: Opuz NICGM
A wearable and non-invasive prototype device that allows for measurement of bioimpedance data with the aim to help develop a mathematical model to predict blood glucose levels.
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Intervention code [1]
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Treatment: Devices
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Comparator / control treatment
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Control group
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Outcomes
Primary outcome [1]
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Generation of a predictive models for determining blood glucose levels
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Assessment method [1]
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Performance of computer models for blood glucose level estimation using collected bioimpedance spectroscopy data.
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Timepoint [1]
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at 14 days post introduction of intervention
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Primary outcome [2]
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Validation of predictive model for determining blood glucose levels
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Assessment method [2]
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Performance of predictive models will be evaluated using the consensus error grid. Mean Absolute Relative Difference (MARD) and Consensus Error Grid (CEG) distribution.
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Timepoint [2]
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at 14 days post introduction of intervention
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Eligibility
Key inclusion criteria
* Aged 18 - 70 years
* Physician diagnosis of Type 2 diabetes
* Haemoglobin A1c (HbA1c) range between 7 - 10%
* Body mass index between 20 - 40
* Regularly eats 3 meals per day (breakfast, lunch, and dinner)
* Technologically literate (e.g. able to use Apps, smart phones)
* Able to commit to attending the Sponsor site
* Able to commit to wearing a non-invasive, custom-built device through most daily activities
* Currently self-monitoring their BGL and able to commit to taking measurements at least 6 times per day
* Proficiency in reading and writing in English
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Minimum age
18
Years
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Maximum age
70
Years
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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
* Currently on insulin therapy (other than long-acting insulin therapy)
* Currently pregnant, pregnant in the last 6 months, or planning a pregnancy
* Currently breastfeeding
* Current smoker
* Any other confounding major disease or condition as deemed appropriate by investigator, determined by review of medical history and/or patient reported medical history
* Clinically unstable or rapidly progressing diabetic retinopathy, neuropathy, and/or frequent nausea, bloating or vomiting, sever gastroesophageal reflux, or early satiety.
* Multiple medications (taking more than 10 medications is often an indicator of having multiple major comorbidities which is an exclusion criteria. Furthermore, we want to exclude potential multiple drug interactions with blood glucose levels which may impact results of study)
* Currently on active curative treatments for cancer
* Currently receiving systemic glucocorticoid therapy
* Using lipid-lowering medication at a dose that has not been stable for the past 3 months
* History of reactions to alcohol wipes, antiseptics, or adhesives (isobornyl acrylate which is the adhesive used for attachment of Freestyle Libre sensors and may cause contact dermatitis)
* Using an insulin pump
* Pacemaker fitted
* Fasting C-peptide levels below 0.5 ng/mL or above 2.0 ng/mL
* Has had an episode of diabetic ketoacidosis in the past 6 months
* Has had an episode of severe hypoglycemia within the past 6 months
* Currently unstable blood glucose control
* Receiving dialysis treatment
* Has had a blood transfusion or severe blood loss within the past 3 months
* Unwilling to self-monitor their BGL (at least 6 measurement, daily)
* Currently participating in another clinical study
* Known to the Investigators
* Other investigator-determined criteria making participants unsuitable for participation
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Study design
Purpose of the study
Other
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Allocation to intervention
NA
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
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Masking / blinding
Open (masking not used)
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Who is / are masked / blinded?
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Intervention assignment
Single group
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Other design features
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Phase
NA
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Type of endpoint/s
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Statistical methods / analysis
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Recruitment
Recruitment status
Completed
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Data analysis
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Reason for early stopping/withdrawal
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Other reasons
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Date of first participant enrolment
Anticipated
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Actual
21/07/2020
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Date of last participant enrolment
Anticipated
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Actual
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Date of last data collection
Anticipated
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Actual
14/12/2020
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Sample size
Target
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Accrual to date
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Final
14
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Recruitment in Australia
Recruitment state(s)
NSW
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Recruitment hospital [1]
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Scimita Operations - Sydney
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Recruitment postcode(s) [1]
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2044 - Sydney
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Funding & Sponsors
Primary sponsor type
Commercial sector/industry
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Name
Scimita Operations Pty Ltd.
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Address
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Country
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Ethics approval
Ethics application status
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Summary
Brief summary
This study is designed to assist with the development of a first, truly non-invasive technology for blood glucose monitoring, which will have the potential to eliminate the need for painful finger pricking or expensive continuous blood glucose monitor use. The purpose of this study is to collect biometric data, such as bioimpedance (how well the body impedes electric current flow), from participants who are living with type 2 diabetes. A proof-of-concept prototype (non-invasive continuous glucose monitor; NI-CGM) will be used to collect this biometric data. The data will then be used to develop and refine a computer model that can be used to predict blood glucose levels (BGLs). Individuals with diabetes experience a great range of blood BGLs throughout their daily life and activities, therefore it is essential to gather biometric data corresponding to this large range to build a computer model, to ensure model reliability.
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Trial website
https://clinicaltrials.gov/study/NCT04946188
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Trial related presentations / publications
Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, Malanda B. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018 Apr;138:271-281. doi: 10.1016/j.diabres.2018.02.023. Epub 2018 Feb 26. Villena Gonzales W, Mobashsher AT, Abbosh A. The Progress of Glucose Monitoring-A Review of Invasive to Minimally and Non-Invasive Techniques, Devices and Sensors. Sensors (Basel). 2019 Feb 15;19(4):800. doi: 10.3390/s19040800. D. K. Kamat, D. Bagul, and P. M. Patil, "Blood Glucose Measurement Using Bioimpedance Technique," Adv. Electron., vol. 2014, pp. 1-5, 2014, doi: 10.1155/2014/406257 Tura A. Noninvasive glycaemia monitoring: background, traditional findings, and novelties in the recent clinical trials. Curr Opin Clin Nutr Metab Care. 2008 Sep;11(5):607-12. doi: 10.1097/MCO.0b013e328309ec3a. P. Daarani & A.Kavithamani, "Blood glucose level monitoring by noninvasive method using near infra red sensor," Int. J. Latest Trends Eng. Technol., vol. IRES, no. 1, 2017, doi: 10.21172/1.ires.19 N. D. Nanayakkara, S. C. Munasingha, and G. P. Ruwanpathirana, "Non-invasive blood glucose monitoring using a hybrid technique," in MERCon 2018 - 4th International Multidisciplinary Moratuwa Engineering Research Conference, pp. 7-12, 2018, doi: 10.1109/MERCon.2018.8421885 Ding S, Schumacher M. Sensor Monitoring of Physical Activity to Improve Glucose Management in Diabetic Patients: A Review. Sensors (Basel). 2016 Apr 23;16(4):589. doi: 10.3390/s16040589. Valensi P, Extramiana F, Lange C, Cailleau M, Haggui A, Maison Blanche P, Tichet J, Balkau B; DESIR Study Group. Influence of blood glucose on heart rate and cardiac autonomic function. The DESIR study. Diabet Med. 2011 Apr;28(4):440-9. doi: 10.1111/j.1464-5491.2010.03222.x. Mueller M, Talary MS, Falco L, De Feo O, Stahel WA, Caduff A. Data processing for noninvasive continuous glucose monitoring with a multisensor device. J Diabetes Sci Technol. 2011 May 1;5(3):694-702. doi: 10.1177/193229681100500324.
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Public notes
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Contacts
Principal investigator
Name
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Thomas Telfer, PhD (Med)
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Address
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Scimita Operations
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Country
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Phone
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Fax
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Email
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Contact person for public queries
Name
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Address
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Country
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Phone
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Fax
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Email
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Contact person for scientific queries
Data sharing statement
Will individual participant data (IPD) for this trial be available (including data dictionaries)?
Yes
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What data in particular will be shared?
All data have already gone through a careful process of de-identification. Data can be made available after study completion for the purposes of further research, and to develop and validate the model after quality checks and Secondary analyses. Data will be available to all investigators who provide a sound proposal, as well case-by-case basis at the discretion of Primary Sponsor and PI Dr Thomas Telfer.
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When will data be available (start and end dates)?
De-identified data is expected to be available after study completion and following publication of results, with no determined end date.
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Available to whom?
Data obtained from this study will be made available after approval from PI Dr Thomas Telfer.
Scimita ventures
[email protected]
+61 481848190
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Available for what types of analyses?
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How or where can data be obtained?
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What supporting documents are/will be available?
No Supporting Document Provided
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Other Details
Attachment
Informed consent form
https://cdn.clinicaltrials.gov/large-docs/88/NCT04946188/ICF_000.pdf
Results publications and other study-related documents
No documents have been uploaded by study researchers.
Results not provided in
https://clinicaltrials.gov/study/NCT04946188