NCT03602989

Brief Summary

Early detection and intervention of diabetic retinopathy (DR) is critical in preventing DR-related vision loss among type 1 (T1DM) and type 2 diabetic mellitus (T2DM) patients, currently estimated at over 100 million in China alone. Yet the healthcare resources, particularly retinal specialists, are in short supply and unevenly distributed. In order to help address this enormous mismatch and implement population-based screening, an artificial intelligence (AI) enabled, cloud based software is developed by training a custom-built convolutional neural network. This study is designed to evaluate the safety and efficacy of such device in detecting referable diabetic retinopathy (moderate non-proliferative DR or worse).

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jul 2018

Geographic Reach
1 country

3 active sites

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 5, 2018

Completed
12 days until next milestone

First Submitted

Initial submission to the registry

July 17, 2018

Completed
10 days until next milestone

First Posted

Study publicly available on registry

July 27, 2018

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 30, 2018

Completed
9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2019

Completed
Last Updated

May 20, 2019

Status Verified

May 1, 2019

Enrollment Period

5 months

First QC Date

July 17, 2018

Last Update Submit

May 17, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • Sensitivity and specificity

    To evaluate the sensitivity and specificity of the device in detecting referable DR (more than mild NPDR)

    No more than 1 day for each subject

Interventions

Color fundus images of both eyes are captured on site before being uploaded to and analyzed by the cloud-based Artificial Intelligence software

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with T1DM and T2DM under clinical setting. Invitation to volunteer

You may qualify if:

  • Subject must understand the study, has chosen to participate voluntarily, and has signed informed consent
  • Age 18 or older, no limitations on gender identity
  • Type 1 Diabetes Mellitus and Type 2 Diabetes Mellitus

You may not qualify if:

  • As it is difficult to obtain fundus images of satisfactory quality with small pupils, mydriasis is advisable under certain circumstances except if:
  • the subject is allergic to mydriatic drugs;
  • the subject's intraocular pressure (IOP) ≥ 22 mmHg;
  • the subject is prone to post-dilation angle closure, pupillary block, etc.;
  • The subject has refractive media opacity and/or pupil abnormalities that affect fundus examination and imaging;
  • The subject has severe vitreous hemorrhage;
  • The subject has received fundus laser treatment;
  • The subject is participating in other ophthalmic clinical trials;
  • In cases when the researchers believe the subject is not suitable for taking fundus photograph, including but not limited to:
  • The subject had nystagmus and could not obtain a gradable fundus photograph;
  • other disqualifying condition deemed by the researcher.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Peking University People's Hospital

Beijing, Beijing Municipality, China

Location

Zhongshan Ophthalmic Center

Guangzhou, Guangdong, China

Location

The Eye Hospital of Wenzhou Medical University

Wenzhou, Zhejiang, China

Location

MeSH Terms

Conditions

Diabetic Retinopathy

Condition Hierarchy (Ancestors)

Retinal DiseasesEye DiseasesDiabetic AngiopathiesVascular DiseasesCardiovascular DiseasesDiabetes ComplicationsDiabetes MellitusEndocrine System Diseases

Study Officials

  • Xiaofeng Lin, M.D.

    Zhongshan Ophthalmic Center, Sun Yat-sen University

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
CROSS SECTIONAL
Sponsor Type
INDUSTRY
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 17, 2018

First Posted

July 27, 2018

Study Start

July 5, 2018

Primary Completion

November 30, 2018

Study Completion

August 31, 2019

Last Updated

May 20, 2019

Record last verified: 2019-05

Locations