- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03991637
Non-Invasive Blood Test Cross-Validation Study
June 20, 2019 updated by: Joseph Allen Jr.
Remote Sensing Comprehensive Metabolic Panel
The study considers a cross-validation approach to determine the effectiveness of a non-invasive comprehensive metabolic panel (NICMP), relative to the venipuncture method.
The NICMP machine learned powered device utilizes a light sensor to capture readings from either palm.
The study (n=90) proves an agreement and strong correlation with respect to the NICMP and venipuncture blood draw.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
90
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
North Dakota
-
Grand Forks, North Dakota, United States, 58201
- Altru Health System
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Undiagnosed population
Exclusion Criteria:
- Diagnosed population, pregnant women, mental heath/disabled, prisoners, fetus or deceased
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: NICMP Spectral Reading
Non-invasive spectral data is collected from this arm to function as the intervention of interest.
|
The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.
|
Active Comparator: Venipuncture CMP
A standard CMP blood draw is performed to function as the "gold standard" reference value. Specifically, the outcome of the experimental arm is cross-validated against the active comparator arm to determine the NICMP accuracy, relative to the venipuncture method. |
The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Performance of Non-Invasive Comprehensive Metabolic Panel
Time Frame: 2-minutes
|
Determine the effectiveness, in terms of accuracy, of the NICMP against the venipuncture CMP (i.e.
reference value).
|
2-minutes
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 18, 2018
Primary Completion (Actual)
September 11, 2018
Study Completion (Actual)
March 1, 2019
Study Registration Dates
First Submitted
June 1, 2019
First Submitted That Met QC Criteria
June 18, 2019
First Posted (Actual)
June 19, 2019
Study Record Updates
Last Update Posted (Actual)
June 24, 2019
Last Update Submitted That Met QC Criteria
June 20, 2019
Last Verified
June 1, 2019
More Information
Terms related to this study
Other Study ID Numbers
- IRB-201807-004
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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