Signos DM2 Empowerment Study (SIGNOS-CGM-EMPOWER-201-2022)
Use of Signos mHealth Platform in Participants With Non-Insulin Dependent Type 2 Diabetes: Weight and Blood Glucose
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Study Administration
- Phone Number: 6502634502
- Email: clinicaltrials@signos.com
Study Locations
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California
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Palo Alto, California, United States, 94306
- Signos
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Medical diagnosis of Type 2 Diabetes; determined by review of subject-provided most recent Hg A1c.
- Subject is under current care of a primary care provider or specialist
- Clearance by medical provider to participate in diet, physical activity, and lifestyle changes
- 18 years and above
- Own a smartphone and be willing to install the Signos App to personally receive text messages or have access to a web-based survey to self-report their weight.
- Willingness to complete quality of life questionnaires or other in-app surveys.
- Willingness to use CGM device
- Able to speak and read English
- Be a Signos mHealth (mobile/web-based) user
Exclusion Criteria:
- Medical diagnosis of Type 1 Diabetes
- Type 2 Diabetes currently using insulin or most recent A1c ≥10%
- Severe hypoglycemia <54 mg/dl resulting in seizure or unconsciousness, or requiring assistance/EMS/hospitalization - within 3 months prior to enrollment
- Current medical diagnosis of an eating disorder (such as anorexia nervosa or bulimia)
- Medical conditions (e.g., such as seizure disorder) requiring a specific medical diet.
- Inborn error of metabolism such as phenylketonuria (PKU), glycogen storage disease, fructose intolerance, Maple Sugar Urine Disease (MSUD).
- History of 10 or more soft tissue skin infections (such as cellulitis or abscesses)
- Intolerable skin reaction from adhesive
- Currently taking any of the following medications: Clozapine, Hydroxyurea, or any form of insulin.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Signos digital health app and CGM
For all consented participants, the Signos app will use CGM data to provide recommendations customized to users for promoting general health and wellness.
|
Continuous glucose monitoring automatically tracks blood glucose levels, also called blood sugar, throughout the day and night.
You can see your glucose level anytime at a glance.
You can also review how your glucose changes over a few hours or days to see trends.
Seeing glucose levels in real time can help you make more informed decisions throughout the day about how to balance your food and physical activity.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
App engagement
Time Frame: During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
Meals logged, Exercises logged, Activities completed
|
During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
|
Glucose Metrics via Continuous Glucose Measurement (CGM)
Time Frame: During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
Glucose measured in mg/dl
|
During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
|
Change in weight in pounds
Time Frame: During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
Change in number of pounds
|
During enrollment in the trial for a maximum of 5 years, including a 1 year follow up period, for a maximum of 6 years.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Stephanie Kim, MD, Signos Inc
Publications and helpful links
General Publications
- Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.
- Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.
- Adams OP. The impact of brief high-intensity exercise on blood glucose levels. Diabetes Metab Syndr Obes. 2013;6:113-22. doi: 10.2147/DMSO.S29222. Epub 2013 Feb 27.
- Baron AD. Impaired glucose tolerance as a disease. Am J Cardiol. 2001 Sep 20;88(6A):16H-9H. doi: 10.1016/s0002-9149(01)01832-x.
- Brown A, McArdle P, Taplin J, Unwin D, Unwin J, Deakin T, Wheatley S, Murdoch C, Malhotra A, Mellor D. Dietary strategies for remission of type 2 diabetes: A narrative review. J Hum Nutr Diet. 2022 Feb;35(1):165-178. doi: 10.1111/jhn.12938. Epub 2021 Sep 1.
- Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo JT, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Sci Rep. 2016 Nov 7;6:34563. doi: 10.1038/srep34563.
- Ehrhardt N, Al Zaghal E. Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring. J Diabetes Sci Technol. 2019 Mar;13(2):271-275. doi: 10.1177/1932296818790994. Epub 2018 Aug 1.
- The Lancet Diabetes Endocrinology. Metabolic health: a priority for the post-pandemic era. Lancet Diabetes Endocrinol. 2021 Apr;9(4):189. doi: 10.1016/S2213-8587(21)00058-9. Epub 2021 Mar 4. No abstract available.
- Galderisi A, Giannini C, Weiss R, Kim G, Shabanova V, Santoro N, Pierpont B, Savoye M, Caprio S. Trajectories of changes in glucose tolerance in a multiethnic cohort of obese youths: an observational prospective analysis. Lancet Child Adolesc Health. 2018 Oct;2(10):726-735. doi: 10.1016/S2352-4642(18)30235-9. Epub 2018 Aug 24.
- Gonzalez-Rodriguez M, Pazos-Couselo M, Garcia-Lopez JM, Rodriguez-Segade S, Rodriguez-Garcia J, Tunez-Bastida C, Gude F. Postprandial glycemic response in a non-diabetic adult population: the effect of nutrients is different between men and women. Nutr Metab (Lond). 2019 Jul 17;16:46. doi: 10.1186/s12986-019-0368-1. eCollection 2019.
- Guyenet SJ, Schwartz MW. Clinical review: Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab. 2012 Mar;97(3):745-55. doi: 10.1210/jc.2011-2525. Epub 2012 Jan 11.
- Hamley S, Kloosterman D, Duthie T, Dalla Man C, Visentin R, Mason SA, Ang T, Selathurai A, Kaur G, Morales-Scholz MG, Howlett KF, Kowalski GM, Shaw CS, Bruce CR. Mechanisms of hyperinsulinaemia in apparently healthy non-obese young adults: role of insulin secretion, clearance and action and associations with plasma amino acids. Diabetologia. 2019 Dec;62(12):2310-2324. doi: 10.1007/s00125-019-04990-y. Epub 2019 Sep 6.
- Hyde PN, Sapper TN, Crabtree CD, LaFountain RA, Bowling ML, Buga A, Fell B, McSwiney FT, Dickerson RM, Miller VJ, Scandling D, Simonetti OP, Phinney SD, Kraemer WJ, King SA, Krauss RM, Volek JS. Dietary carbohydrate restriction improves metabolic syndrome independent of weight loss. JCI Insight. 2019 Jun 20;4(12):e128308. doi: 10.1172/jci.insight.128308. eCollection 2019 Jun 20.
- Ebbeling CB, Knapp A, Johnson A, Wong JMW, Greco KF, Ma C, Mora S, Ludwig DS. Effects of a low-carbohydrate diet on insulin-resistant dyslipoproteinemia-a randomized controlled feeding trial. Am J Clin Nutr. 2022 Jan 11;115(1):154-162. doi: 10.1093/ajcn/nqab287.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Nutrition Disorders
- Metabolic Diseases
- Overnutrition
- Body Weight
- Body Weight Changes
- Diabetes Mellitus
- Hyperinsulinism
- Overweight
- Obesity
- Hyperglycemia
- Pathological Conditions, Signs and Symptoms
- Nutritional and Metabolic Diseases
- Signs and Symptoms
- Weight Loss
- Diabetes Mellitus, Type 2
- Metabolic Syndrome
- Insulin Resistance
- Glucose Metabolism Disorders
- Glucose Intolerance
- Obesity, Abdominal
Other Study ID Numbers
Other Study ID Numbers
- 201-2022
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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