- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06706609
Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population
November 22, 2024 updated by: Getz Pharma
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.
Study Overview
Status
Not yet recruiting
Study Type
Observational
Enrollment (Estimated)
394
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Dr Shaheryar Hasan, MBBS, MBA
- Phone Number: +923121260642
- Email: shaheryar.hasan@getzpharma.com
Study Contact Backup
- Name: Dr Jahanzeb Kamal Khan, MBBS, MBA, CRCP, MCPS
- Phone Number: +923201212945
- Email: jahanzeb.kamal@getzpharma.com
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study 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
Description
Inclusion Criteria:
- 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
Exclusion Criteria:
- Patients with other medical comorbidities (not a complication of diabetes), such as malignancies.
- Pregnancy
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
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 enrollment
|
At the time of clinic visit during enrollment
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Analyze the distribution of metabolic and demographic characteristics within each cluster.
Time Frame: At the time of clinic visit during enrollment
|
At the time of clinic visit during enrollment
|
|
• 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 enrollment
|
At the time of clinic visit during enrollment
|
|
Evaluate the relationship between clustering variables and complications.
Time Frame: At the time of clinic visit during enrollment
|
At the time of clinic visit during enrollment
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Levy JC, Matthews DR, Hermans MP. Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care. 1998 Dec;21(12):2191-2. doi: 10.2337/diacare.21.12.2191. No abstract available.
- Ahlqvist E, Storm P, Karajamaki A, Martinell M, Dorkhan M, Carlsson A, Vikman P, Prasad RB, Aly DM, Almgren P, Wessman Y, Shaat N, Spegel P, Mulder H, Lindholm E, Melander O, Hansson O, Malmqvist U, Lernmark A, Lahti K, Forsen T, Tuomi T, Rosengren AH, Groop L. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 2018 May;6(5):361-369. doi: 10.1016/S2213-8587(18)30051-2. Epub 2018 Mar 5.
- Bonora E, Trombetta M, Dauriz M, Travia D, Cacciatori V, Brangani C, Negri C, Perrone F, Pichiri I, Stoico V, Zoppini G, Rinaldi E, Da Prato G, Boselli ML, Santi L, Moschetta F, Zardini M, Bonadonna RC. Chronic complications in patients with newly diagnosed type 2 diabetes: prevalence and related metabolic and clinical features: the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 9. BMJ Open Diabetes Res Care. 2020 Aug;8(1):e001549. doi: 10.1136/bmjdrc-2020-001549.
- Slieker RC, Donnelly LA, Fitipaldi H, Bouland GA, Giordano GN, Akerlund M, Gerl MJ, Ahlqvist E, Ali A, Dragan I, Festa A, Hansen MK, Mansour Aly D, Kim M, Kuznetsov D, Mehl F, Klose C, Simons K, Pavo I, Pullen TJ, Suvitaival T, Wretlind A, Rossing P, Lyssenko V, Legido-Quigley C, Groop L, Thorens B, Franks PW, Ibberson M, Rutter GA, Beulens JWJ, 't Hart LM, Pearson ER. Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study. Diabetologia. 2021 Sep;64(9):1982-1989. doi: 10.1007/s00125-021-05490-8. Epub 2021 Jun 10.
- Li PF, Chen WL. Are the Different Diabetes Subgroups Correlated With All-Cause, Cancer-Related, and Cardiovascular-Related Mortality? J Clin Endocrinol Metab. 2020 Dec 1;105(12):dgaa628. doi: 10.1210/clinem/dgaa628.
- Anjana RM, Baskar V, Nair ATN, Jebarani S, Siddiqui MK, Pradeepa R, Unnikrishnan R, Palmer C, Pearson E, Mohan V. Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study. BMJ Open Diabetes Res Care. 2020 Aug;8(1):e001506. doi: 10.1136/bmjdrc-2020-001506.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
February 1, 2025
Primary Completion (Estimated)
August 1, 2025
Study Completion (Estimated)
December 31, 2025
Study Registration Dates
First Submitted
November 22, 2024
First Submitted That Met QC Criteria
November 22, 2024
First Posted (Estimated)
November 26, 2024
Study Record Updates
Last Update Posted (Estimated)
November 26, 2024
Last Update Submitted That Met QC Criteria
November 22, 2024
Last Verified
November 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- GTZ-DM-008-24
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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