AI tool could spot hidden diabetes risk in psoriasis patients
NCT ID NCT07321288
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looks at medical records from over 1,200 psoriasis patients to find who is most likely to develop insulin resistance, a condition that can lead to diabetes. Researchers will use machine learning to build a simple tool that helps doctors estimate this risk. No new treatments are involved—the goal is better early detection and prevention.
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 give doctors a simple tool to identify psoriasis patients at high risk for insulin resistance, enabling earlier monitoring and prevention of diabetes.
What could go wrong
This is an observational study using existing records, so it cannot prove cause and effect. The prediction model may not work well for patients outside the study centers.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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
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Locations
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Chinese PLA General Hosptial
Beijing, None Selected, 100853, China