Diabetic RetinopathyNCT04240652
The Diabetic Retinopathy Screening, Prevention and Control Program
An observational study of Diabetic Retinopathy, run by Shanghai Jiao Tong University School of Medicine at 2 sites in China.
Trial summary
The greatest harm of diabetes is various acute and chronic complications, especially diabetic retinopathy(DR), leading to extremely high rates of disability and blindness. Early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Diabetic Retinopathy
- How many people
- 500,000 participants
- Where
- 2 sitesChina
- Study dates
- 5 Jun 2018to 5 Jun 2040
- How long will I take part?
- 20 Years
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Diabetes patients under the management of MMC, and diabetes, non-diabetic, and healthy participants from other medical institutes who meet the In-/Ex-clusion Criteria will be included in this study.
Who may be able to join
- Meet the diagnostic criteria for type 2 diabetes according to the World Health Organization (WHO) in 1999; Type 1 diabetes, single gene mutation diabetes, secondary diabetes caused by pancreatic damage, Cushing's syndrome, thyroid dysfunction, or acromegaly;
- Subjects from other medical institutes are diabetes, non-diabetic patients and healthy participants who are invited to participate in the study.
Who cannot join
- Those who have a history of drug abuse;
- Sexually transmitted diseases such as AIDS and syphilis, and infectious diseases such as viral hepatitis and tuberculosis which are at active phase;
- Any condition that the investigator think that the subject is not suitable for participating in the study.
- For detailed In-/Ex-clusion criteria please see the study protocol.
Trial locations and contacts
2 sites in 1 country. Contact the study team or a site near you to ask about taking part.
China2 sites, 2 recruiting
- Recruiting
Ruijin hospital, Shanghai Jiao-Tong University School of Medicine
Shanghai, Shanghai Municipality, 200025
Guang Ning, Professor, 8621-64370045 ext. 671817, feifei1116@hotmail.com
Guang Ning, Professor
- Recruiting
Shanghai Jiao-Tong University School of Medicine
Shanghai, 200025
Guang Ning, MD,PHD, 008621 64370045 ext. 671817, guangning@medmail.com.cn
About this study
The greatest harm of diabetes is various acute and chronic complications, especially diabetic retinopathy(DR), leading to extremely high rates of disability and blindness. Early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate. To change this situation, deep learning(DL), a form of artificial intelligence (AI), might be a potential effective method to solve this dilemma.
Read the detailed description
The greatest harm of diabetes is various acute and chronic complications, especially DR, leading to extremely high rates of disability and blindness. However, if the fundus examination is carried out regularly in the early stages of onset, the risk of blindness can be significantly reduced. Therefore, early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate.
The Diabetic Retinopathy Screening and Prevention Program is a branch project of MMC. Its purpose is to carry out an efficient workflow for early detecting, timely managing of DR, and to establish a referral system for implementing treatment and the long-term follow-up of DR by means of DL. First, In order to improve its sensitivity and specificity, more participants are involved in other medical institutes besides MMCs, then we can effectively explore the prevalance of DR in China and helps to early screening, prevention, treatment and referal process of DR. Secend, we collect participants' serum, plasma,DNA, several medical stastistics and life styles to explore genetics, new biomarkers, risk factors of DR.
Objective:
- To validate the methodology and feasibility of DR screening using a DL based automated DR grading system in clinical practice.
- To explore the prevalence of DR and subgroup identification, and fundus images analysis, etc.
- To explore the genetics, new biomarkers, risk factors of DR.
- To explore the methods of early screening, prevention, treatment and referal process of DR.
- Conditions
- Diabetic Retinopathy
- Medical subject headings
- Diabetic Retinopathy
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Subjects with fundus photography | Subjects diagnosed with diabetes or not who have fundus images from MMCs and other medical institutes. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Diabetic retinopathy
diabetic retinopathy
Measured: through study completion, up to 20 years
Referable diabetic retinopathy
Referable diabetic retinopathy
Measured: through study completion, up to 20 years
Vision threatening diabetic retinopathy
Vision threatening diabetic retinopathy
Measured: through study completion, up to 20 years
Diabetic macular edema
Diabetic macular edema
Measured: through study completion, up to 20 years
Secondary outcomes (22)
HbA1c (%)
Measured: through study completion, up to 20 years
Smoking history
Measured: through study completion, up to 20 years
Alcohol intake
Measured: through study completion, up to 20 years
Salt intake
Measured: through study completion, up to 20 years
Vegetable and fruits intake
Measured: through study completion, up to 20 years
Physical activity
Measured: through study completion, up to 20 years
Blood pressures (mmHg)
Measured: through study completion, up to 20 years
Lipids (mg/dl)
Measured: through study completion, up to 20 years
Cardiolvascular diseases
Measured: through study completion, up to 20 years
Body mass index (BMI)
Body weight (kg) and height (m) will be combined to report BMI in kg/m^2
Measured: through study completion, up to 20 years
Systolic blood pressure
Measured: through study completion, up to 20 years
Diastolic blood pressure
Measured: through study completion, up to 20 years
Visceral fat (cm^2)
Measured: through study completion, up to 20 years
Fasting glucose (mmol/L)
Measured: through study completion, up to 20 years
Postprandial glucose (mmol/L)
Measured: through study completion, up to 20 years
Fasting serum C peptide (ug/L)
Measured: through study completion, up to 20 years
Postprandial serum C peptide (ug/L)
Measured: through study completion, up to 20 years
Fasting serum insuline (μIU/mL)
Measured: through study completion, up to 20 years
Postprandial serum insuline (μIU/mL)
Measured: through study completion, up to 20 years
Intimal medial thikness (mm)
Measured: through study completion, up to 20 years
Pulse wave velocity (cm/s)
Measured: through study completion, up to 20 years
Albumin-creatinine-ratio (mg/mmol)
Measured: through study completion, up to 20 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Jan 2020
- Study start5 Jun 2018
- Primary completion5 Jun 2038 (estimated)
- Study completion5 Jun 2040 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Diabetic RetinopathyStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 500,000 participants (estimated)
- Target duration
- 20 Years
Sponsor and investigators
- Lead sponsor
- Shanghai Jiao Tong University School of Medicine
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Guang Ning, Shanghai Jiao Tong University School of Medicine
- Investigators
- Guang Ning, MD,PHD, Principal investigator, Shanghai Jiao Tong University School of Medicine Shanghai, Shanghai, China
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04240652
- Sponsor's protocol ID
- Ruijin-20191231
- Status last verified
- Feb 2020
- First submitted
- 22 Jan 2020
- Last updated
- 5 Feb 2020
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Zhang Y, Shi J, Peng Y, Zhao Z, Zheng Q, Wang Z, Liu K, Jiao S, Qiu K, Zhou Z, Yan L, Zhao D, Jiang H, Dai Y, Su B, Gu P, Su H, Wan Q, Peng Y, Liu J, Hu L, Ke T, Chen L, Xu F, Dong Q, Terzopoulos D, Ning G, Xu X, Ding X, Wang W. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study. BMJ Open Diabetes Res Care. 2020 Oct;8(1):e001596. doi: 10.1136/bmjdrc-2020-001596.
PubMed 33087340
Study at a glance
From the registry record, last updated by the sponsor on 5 Feb 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Diabetic Retinopathy Screening, Prevention and Control Program
- ClinicalTrials.gov ID
- NCT04240652
- Acronym / sponsor ID
- Ruijin-20191231
- Conditions
- Diabetic Retinopathy
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 500,000 participants (estimated)
- Lead sponsor
- Shanghai Jiao Tong University School of MedicineUniversity, hospital or other
- Study start
- 5 Jun 2018 (actual)
- Primary completion
- 5 Jun 2038 (estimated)
- Study completion
- 5 Jun 2040 (estimated)
- First posted
- 27 Jan 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The greatest harm of diabetes is various acute and chronic complications, especially diabetic retinopathy(DR), leading to extremely high rates of disability and blindness. Early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate. To change this situation, deep learning(DL), a form of artificial intelligence (AI), might be a potential effective method to solve this dilemma.
Detailed description
The greatest harm of diabetes is various acute and chronic complications, especially DR, leading to extremely high rates of disability and blindness. However, if the fundus examination is carried out regularly in the early stages of onset, the risk of blindness can be significantly reduced. Therefore, early screening, early diagnosis, and early treatment are the keys to maintaining vision in patients with DR. However, compared with the high prevalence of diabetes in China, the DR screening ability is relatively inadequate.
The Diabetic Retinopathy Screening and Prevention Program is a branch project of MMC. Its purpose is to carry out an efficient workflow for early detecting, timely managing of DR, and to establish a referral system for implementing treatment and the long-term follow-up of DR by means of DL. First, In order to improve its sensitivity and specificity, more participants are involved in other medical institutes besides MMCs, then we can effectively explore the prevalance of DR in China and helps to early screening, prevention, treatment and referal process of DR. Secend, we collect participants' serum, plasma,DNA, several medical stastistics and life styles to explore genetics, new biomarkers, risk factors of DR.
Objective:
- To validate the methodology and feasibility of DR screening using a DL based automated DR grading system in clinical practice.
- To explore the prevalence of DR and subgroup identification, and fundus images analysis, etc.
- To explore the genetics, new biomarkers, risk factors of DR.
- To explore the methods of early screening, prevention, treatment and referal process of DR.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 20 Years
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Subjects with fundus photography | – | –Subjects diagnosed with diabetes or not who have fundus images from MMCs and other medical institutes. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Diabetes patients under the management of MMC, and diabetes, non-diabetic, and healthy participants from other medical institutes who meet the In-/Ex-clusion Criteria will be included in this study.
Key inclusion criteria (2 listed)
- Meet the diagnostic criteria for type 2 diabetes according to the World Health Organization (WHO) in 1999; Type 1 diabetes, single gene mutation diabetes, secondary diabetes caused by pancreatic damage, Cushing's syndrome, thyroid dysfunction, or acromegaly;
- Subjects from other medical institutes are diabetes, non-diabetic patients and healthy participants who are invited to participate in the study.
Key exclusion criteria (4 listed)
- Those who have a history of drug abuse;
- Sexually transmitted diseases such as AIDS and syphilis, and infectious diseases such as viral hepatitis and tuberculosis which are at active phase;
- Any condition that the investigator think that the subject is not suitable for participating in the study.
- For detailed In-/Ex-clusion criteria please see the study protocol.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Diabetic retinopathy
Time frame: through study completion, up to 20 years
diabetic retinopathy
Referable diabetic retinopathy
Time frame: through study completion, up to 20 years
Referable diabetic retinopathy
Vision threatening diabetic retinopathy
Time frame: through study completion, up to 20 years
Vision threatening diabetic retinopathy
Diabetic macular edema
Time frame: through study completion, up to 20 years
Diabetic macular edema
22 secondary outcomes
HbA1c (%)
Time frame: through study completion, up to 20 years
Smoking history
Time frame: through study completion, up to 20 years
Alcohol intake
Time frame: through study completion, up to 20 years
Salt intake
Time frame: through study completion, up to 20 years
Vegetable and fruits intake
Time frame: through study completion, up to 20 years
Physical activity
Time frame: through study completion, up to 20 years
Blood pressures (mmHg)
Time frame: through study completion, up to 20 years
Lipids (mg/dl)
Time frame: through study completion, up to 20 years
Cardiolvascular diseases
Time frame: through study completion, up to 20 years
Body mass index (BMI)
Time frame: through study completion, up to 20 years
Systolic blood pressure
Time frame: through study completion, up to 20 years
Diastolic blood pressure
Time frame: through study completion, up to 20 years
Visceral fat (cm^2)
Time frame: through study completion, up to 20 years
Fasting glucose (mmol/L)
Time frame: through study completion, up to 20 years
Postprandial glucose (mmol/L)
Time frame: through study completion, up to 20 years
Fasting serum C peptide (ug/L)
Time frame: through study completion, up to 20 years
Postprandial serum C peptide (ug/L)
Time frame: through study completion, up to 20 years
Fasting serum insuline (μIU/mL)
Time frame: through study completion, up to 20 years
Postprandial serum insuline (μIU/mL)
Time frame: through study completion, up to 20 years
Intimal medial thikness (mm)
Time frame: through study completion, up to 20 years
Pulse wave velocity (cm/s)
Time frame: through study completion, up to 20 years
Albumin-creatinine-ratio (mg/mmol)
Time frame: through study completion, up to 20 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 Feb 2020.
- Derived from this study: PubMed 33087340Zhang Y, Shi J, Peng Y, Zhao Z, Zheng Q, Wang Z, Liu K, Jiao S, Qiu K, Zhou Z, Yan L, Zhao D, Jiang H, Dai Y, Su B, Gu P, Su H, Wan Q, Peng Y, Liu J, Hu L, Ke T, Chen L, Xu F, Dong Q, Terzopoulos D, Ning G, Xu X, Ding X, Wang W. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study. BMJ Open Diabetes Res Care. 2020 Oct;8(1):e001596. doi: 10.1136/bmjdrc-2020-001596.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Guang Ning, MD,PHD principal investigator
Shanghai Jiao Tong University School of Medicine Shanghai, Shanghai, China
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Diabetic Retinopathy, run by Shanghai Jiao Tong University School of Medicine at 2 sites in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 5 Feb 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Guang Ning, MD,PHD (8621-64370045 ext. 665344, guangning@medmail.com.cn), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Diabetic retinopathy (time frame: through study completion, up to 20 years). The study lists 4 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04240652, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 Feb 2020.