Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age16+
SponsorGetz Pharma
About this trial
This study aims to classify adult-onset diabetes patients into distinct data-driven clusters, such as severe insulin-deficient, severe insulin-resistant, mild obesity-related, and mild age-related diabetes, based on clinical and biochemical characteristics. Using a cross-sectional design, data will be collected from individuals attending outpatient diabetes clinics at tertiary care hospitals in Pakistan. The study will analyze the distribution of metabolic and demographic characteristics within each cluster and assess subgroup-specific risks for diabetic complications. Additionally, the relationship between clustering variables and the risk of complications will be evaluated to enhance the understanding of diabetes heterogeneity and its impact on patient outcomes.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Patients of both genders whose age of disease onset was older than 16 years
Patients newly diagnosed with or previously diagnosed with T2D
Able and willing to provide written informed consent and to comply with the study
Disqualifiers
Patients with other medical comorbidities (not a complication of diabetes), such as malignancies.
Pregnancy
Trial population
The study population will consist of adult patients diagnosed with diabetes who are receiving care at endocrinology clinics across Pakistan. Participants will be recruited from outpatient diabetes clinics during their routine visits. The population represents a diverse group of individuals from various socioeconomic and demographic backgrounds, reflecting the heterogeneity of diabetes presentation in the region
Trial design
Design model
Cohort
Time perspective
Cross-sectional
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Classify patients into data-driven clusters (e.g., severe insulin-deficient, severe insulin-resistant, mild obesity-related and mild age-related diabetes).
Time frame
At the time of clinic visit during enrollmentSecondary outcomes
1
Analyze the distribution of metabolic and demographic characteristics within each cluster.
Time frame
At the time of clinic visit during enrollment2
• Assess subgroup-specific risks for diabetic macrovascular complications such as CVD, Stroke/TIA, and microvascular complications such as nephropathy, retinopathy, peripheral and autonomic neuropathy
Time frame
At the time of clinic visit during enrollment3
Evaluate the relationship between clustering variables and complications.
Time frame
At the time of clinic visit during enrollmentLocations
Sponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: