Smart algorithm aims to predict prediabetes before it starts
NCT ID NCT06195566
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a new computer algorithm that uses data from wearable sensors and food diaries to predict a person's real-time risk of developing prediabetes. 77 overweight or obese adults wore glucose monitors and fitness trackers for 4 months. The goal was to collect data to improve the algorithm, not to treat or prevent the condition.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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77 people
The number who actually took part.
- Started
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Jan 2024
- Finished
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Sep 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Study population will be selected mainly in primary care clinic - endocrinologists, general practitioners will be informed about the study. Informative materials about the study will be prepared, which will contain the contact information (e-mail, phone number) using which the potential participant will be able to apply for the study. In addition, it is possible to invite participants to the research using public media (TV, radio, internet), social networks and the homepage of the University of Latvia. Initially, potential participants will be informed about the purpose, the progress of the study by phone or e-mail. If potential individuals willing to participate, more detailed information and signing of informed consent forms will take place during the screening visit.
- Ages
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18 to 65 years
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Healthy adult volunteers (age ≥ 18 years old); * Overweight (BMI 25 - 29.9 kg/m2) and obese grade I individuals (with BMI 30 - 34.9 kg/m2); * Written consent of the participant after being informed; * Ownership of a smartphone running Android or iOS. Exclusion Criteria: * Non-compliance; * Ongoing treatment with immunosuppressive and/or anti-inflammatory medications (NSAIDs, glucocorticoids, chemotherapy, biologicals); * Ongoing treatment with glucose lowering drugs, except if anti-diabetic medication has not been stopped - for metformin one month, for GLP-1 RA, tirzepatide - two months prior enrolment; * Presence of autoimmune and/or inflammatory disease (autoimmune thyroid disease, psoriasis, inflammatory bowel disease); * Skin conditions hindering application of continuous glucose monitoring systems; * Diabetes or prediabetes as diagnosed by ADA/WHO criteria according to fasting glucose and/or HbA1c; * High risk alcohol consumption - according to NIAAA - National Institute on Alcohol Abuse and Alcoholism (for men - more than 4 drinks on any day or more than 14 drinks per week; for women - more than 3 drinks on any day or more than 7 drinks per week); * Factors otherwise limiting the participation in the study according to the judgement of the investigator; * Pregnancy or intention to get pregnant during the study timeline.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University of Latvia, Faculty of Medicine
Riga, Latvia
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