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Comparative Analysis of GLP-1 Receptor Agonists and SGLT2 Inhibitors Versus Monotherapy in Patients with MASLD and Type 2 Diabetes: Insights from Three Target Trial Emulations
Clinical Scorecard: Comparative Analysis of GLP-1 Receptor Agonists and SGLT2 Inhibitors Versus Monotherapy in Patients with MASLD and Type 2 Diabetes: Insights from Three Target Trial Emulations
At a Glance
Category
Detail
Condition
Metabolic dysfunction-associated steatotic liver disease (MASLD) with Type 2 Diabetes Mellitus (T2DM)
Key Mechanisms
GLP-1 receptor agonists improve cardiovascular outcomes and have hepatoprotective effects; SGLT2 inhibitors provide cardiovascular and renal protection.
Target Population
Adults aged 18 years or older with MASLD and concurrent T2DM.
Care Setting
Health research network utilizing electronic health records.
Key Highlights
MASLD affects approximately 32.4% of the global population.
Patients with MASLD and T2DM have higher rates of hepatic fibrosis progression and cardiovascular mortality.
Combination therapy of GLP-1 RA and SGLT2i is of significant interest for managing complex cardiometabolic profiles.
No randomized controlled trials have directly compared GLP-1 RA plus SGLT2i combination therapy versus monotherapy in this population.
Target trial emulation provides a framework for approximating randomized comparisons from observational data.
Guideline-Based Recommendations
Diagnosis
Use ICD-10-CM codes K76.0 for NAFLD and K75.81 for NASH for patient identification.
Management
Consider GLP-1 RA and SGLT2i as treatment options for patients with MASLD and T2DM.
Monitoring & Follow-up
Evaluate mortality, cardiovascular, and hepatic outcomes over a 5-year follow-up period.
Risks
Exclude patients with competing liver disease etiologies such as haemochromatosis, alcoholic liver disease, autoimmune hepatitis, or viral hepatitis.
Patient & Prescribing Data
Adults with MASLD and concurrent T2DM.
Combination therapy may provide enhanced benefits compared to monotherapy.
Clinical Best Practices
Utilize a structured framework for treatment comparisons when RCTs are not feasible.
Implement regular data quality assessments to ensure compliance and validate data accuracy.
by Mohanad A. Alkuwaiti, Faisal A. Al-Harbi, Ahmed K. Alsaif, Ziyad M. AlSughayyir, Rayan Saleh Alsaud, Mohammed N. Aljabr, Ahmad K. Alanazi, Ahmad A. Alosaily, Abdulrhman K. Alabdulqader, Hamza Almusabeh, Rayyan F. Altemani, Ahmed Y. Azzam