Collection of kidney and eye related clinical data to assess the association between diabetes related complications in eye and the kidney in diabetic population using artificial intelligence
Not Applicable
- Conditions
- Health Condition 1: E112- Type 2 diabetes mellitus with kidney complicationsHealth Condition 2: E113- Type 2 diabetes mellitus with ophthalmic complications
- Registration Number
- CTRI/2021/08/035391
- Lead Sponsor
- Carl Zeiss India Bangalore Pvt Ltd
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Open to Recruitment
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Patients with Type 1 or type 2 diabetes mellitus who had undergone diabetic nephropathy management with diabetic retinopathy evaluation
Exclusion Criteria
1. Patients less than 18 years of age
2. Non-Diabetic Subjects
3. Patients with no follow up data
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To collect and analyse the retrospective nephrology and ophthalmology clinical data to assess the relationship of diabetic nephropathy with diabetic retinopathy in diabetic populationTimepoint: The primary outcome will be assessed at baseline parameters (which refers to the data from the first time stamp), and at follow up parameters which might range from a period of 1 year upto 5 years
- Secondary Outcome Measures
Name Time Method To assess the possibility of developing predictive machine learning algorithms for diabetic population with diabetic nephropathy or diabetic retinopathyTimepoint: The secondary outcome, that is the developed algorithm will assess the disease association at following time points: Baseline (which refers to the data from the first time stamp), and at follow up which might range from a period of 1 year upto 5 years