Signos DM2 Empowerment Study (SIGNOS-CGM-EMPOWER-201-2022)

NCT ID: NCT05874635

Last Updated: 2025-08-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

20000 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-05-11

Study Completion Date

2029-05-10

Brief Summary

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The use of continuous glucose monitoring (CGM) in earlier data has inspired behavioral changes leading to improved adherence to an exercise plan in individuals and eating habits in people with diabetes. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools to help participants in the pursuit of weight change goals. We hypothesize that the use of CGM data and the Signos mHealth platform will assist with weight control in a population of people with type 2 diabetes mellitus who are not using insulin.

Detailed Description

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The scope of this study is to enroll existing and new Signos non-insulin dependent type 2 diabetes mellitus users in a volunteer study that utilizes a continuous glucose monitor (CGM) and mobile health application \[Signos\] to optimize general wellness and body weight and composition. This is a no more than minimal risk study.

Conditions

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Weight Loss Metabolic Syndrome Diabetes Mellitus, Type 2 Central Obesity Insulin Resistance Glucose Intolerance Metabolic Glucose Disorders

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Open label single-arm study
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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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.

Group Type EXPERIMENTAL

Continuous Glucose Monitor Device

Intervention Type DEVICE

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.

Interventions

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Continuous Glucose Monitor Device

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.

Intervention Type DEVICE

Other Intervention Names

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CGM

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Signos Inc

INDUSTRY

Sponsor Role lead

Responsible Party

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Stephanie Kim, M.D., MPH

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Stephanie Kim, MD

Role: PRINCIPAL_INVESTIGATOR

Signos Inc

Locations

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Signos

Palo Alto, California, United States

Site Status

Countries

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United States

References

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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.

Reference Type RESULT
PMID: 30040822 (View on PubMed)

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.

Reference Type RESULT
PMID: 23467903 (View on PubMed)

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.

Reference Type RESULT
PMID: 26590418 (View on PubMed)

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.

Reference Type RESULT
PMID: 11576521 (View on PubMed)

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.

Reference Type RESULT
PMID: 34323335 (View on PubMed)

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.

Reference Type RESULT
PMID: 27819345 (View on PubMed)

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.

Reference Type RESULT
PMID: 34582545 (View on PubMed)

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.

Reference Type RESULT
PMID: 30066574 (View on PubMed)

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.

Reference Type RESULT
PMID: 33676599 (View on PubMed)

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.

Reference Type RESULT
PMID: 30236381 (View on PubMed)

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.

Reference Type RESULT
PMID: 31346341 (View on PubMed)

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.

Reference Type RESULT
PMID: 22238401 (View on PubMed)

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.

Reference Type RESULT
PMID: 31489455 (View on PubMed)

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.

Reference Type RESULT
PMID: 31217353 (View on PubMed)

Other Identifiers

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201-2022

Identifier Type: -

Identifier Source: org_study_id

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