New study aims to catch diabetic eye disease earlier with advanced testing
NCT ID NCT06821399
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will enroll nearly 3,000 people with type 2 diabetes to improve how diabetic retinopathy (an eye disease) is diagnosed and managed. Researchers will use eye exams, blood tests, and continuous glucose monitors to build better models for predicting and treating the condition. The goal is to create personalized care plans that slow or prevent vision loss.
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 better early warning systems and personalized treatment plans for diabetic retinopathy, potentially preventing vision loss.
- What could go wrong
- This is an observational study, so it won't test a new treatment. The results may not apply to all patients, and the models need further validation before use in clinics.
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 2,920 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2025
- Expected to finish
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Jul 2028
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
Type 2 Diabetes Mellitus Patients
- Ages
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20 to 79 years
- Sex
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Anyone
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: * Meets the diagnostic criteria for type 2 diabetes in the "China Type 2 Diabetes Prevention and Treatment Guidelines (2020 Edition)"; * Aged between 20 and 79 years old, without other severe underlying diseases; ③ Possesses full cognitive and literacy abilities; ④ Volunteers to participate in this study and are willing to sign an informed consent form. Exclusion Criteria: * Those who have been diagnosed with type 1 or other types of diabetes; * Those with severe cardiac, pulmonary, hepatic, or renal insufficiency; * Those with mental confusion, speech disorders, or dementia, etc.; * Those who are unable to take care of themselves, bedridden, or have mobility impairments; ⑤ Women who are breastfeeding or pregnant; * Those with a recent history of surgery, trauma, acute major vascular complications, or infectious diseases.
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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
3 sites. 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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Shanghai general hosptial
RECRUITINGShanghai, China
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The first hosptial of lanzhou university
RECRUITINGLanzhou, China
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The forth people's hosptial of shenyang
RECRUITINGShenyang, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Could a work health check catch diabetic eye damage before it steals sight?
- New pill takes aim at blood sugar in diabetes
- Home c-peptide tests could reveal hidden insulin production in diabetes
- Brain scans may predict who is most at risk for dangerous low blood sugar
- Diabetes devices put to the test: can home monitors match lab accuracy?
- Eye scans as a window to the body: study probes retinal imaging across diseases