AI model aims to predict diabetes foot ulcers before they start
NCT ID NCT07307183
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to create a prediction model using artificial intelligence and statistics to identify which people with diabetes are at risk of developing foot ulcers. Researchers will analyze health records and demographic data from 100,000 adults in Sweden. The goal is to improve early prevention and reduce serious complications like infections and amputations.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a reliable tool that helps doctors identify diabetes patients at high risk for foot ulcers early, enabling preventive care.
- What could go wrong
- This is an observational study using existing data, not a treatment trial. The models may not work perfectly in all populations or settings.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 100,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jan 2014
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- 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
The study population consists of all eligible adult patients receiving primary care within Region Västra Götaland (VGR). Data will be extracted from Assynja Whisp, the electronic health record system used by Närhälsan, the public primary care provider in VGR. The dataset includes information on all patients meeting the inclusion criteria who have been registered in the system during the study period. Extracted data comprise routinely collected clinical, diagnostic, and prescription information, enabling comprehensive population-based analyses
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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: * Adult patients aged 18 years or older at the time of inclusion * Patients with a diagnosis of diabetes mellitus according to ICD-10 codes E10-E14, and/or * Patients who have been prescribed at least one diabetes-related medication after the age of 18 * Patients with relevant diagnoses and/or prescriptions recorded in the study data sources between 1 January 2014 and 30 June 2025 Exclusion Criteria: * Patients younger than 18 years of age at the time of diabetes diagnosis or prescription * Patients with no recorded diagnosis of diabetes (ICD-10 E10-E14) and no prescription of diabetes medication after the age of 18 * Patients with incomplete or missing key data required for model development or validation (e.g. missing outcome or essential covariates)
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Region Västra Götaland
RECRUITINGJonsered, 43375, Sweden
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