The Diabetic Retinopathy Screening Prevention and Control Program

  • STATUS
    Recruiting
  • End date
    Jun 5, 2040
  • participants needed
    500000
  • sponsor
    Shanghai Jiao Tong University School of Medicine
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Updated on 16 February 2024
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retinopathy
diabetic retinopathy
cushing's syndrome
diabetic retinopathy screening
acromegaly
blindness

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. 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.

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
  1. To validate the methodology and feasibility of DR screening using a DL based automated DR grading system in clinical practice.
  2. To explore the prevalence of DR and subgroup identification, and fundus images analysis, etc.
  3. To explore the genetics, new biomarkers, risk factors of DR.
  4. To explore the methods of early screening, prevention, treatment and referal process of DR.

Details
Condition Diabetic Retinopathy, Diabetic Retinopathy
Age 18years - 100years
Clinical Study IdentifierNCT04240652
SponsorShanghai Jiao Tong University School of Medicine
Last Modified on16 February 2024

Eligibility

 Yes No Not Sure

Inclusion Criteria

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

Exclusion Criteria

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
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