Classification of Adult-onset Diabetes in Five Subgroups in Pakistani Population
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
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
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
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
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
Sponsor
Sponsor
Publications and helpful links
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
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- GTZ-DM-008-24
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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