Clinical trials

The burden of noncommunicable diseases (NCDs) continues to rise globally, and they have become the leading cause of morbidity and mortality, accounting for over 70% of deaths worldwide¹. Rapid lifestyle transitions and increasing urbanization have disproportionately affected low- and middle-income countries, which now bear a substantial share of the global NCD burden. Pakistan, with a population of 241.5 million, is experiencing a double burden of both communicable diseases and NCDs¹³. The widespread adoption of sedentary lifestyles and unhealthy dietary patterns has contributed to a marked increase in NCDs across the country². According to the WHO Hypertension profile 2025, it is the most prevalent NCD in Pakistan, affecting approximately 42% (41% males and 44% females) of the population¹¹, followed by diabetes, with a reported prevalence of 30.8%¹². Additionally, a recent cross-sectional study among adults attending a tertiary care hospital in Islamabad reported dyslipidemia in 71.6% of men and 78.4% of women, indicating a substantial underlying community burden³. Pakistan also ranks tenth among 188 countries in terms of overweight and obesity prevalence, with nearly half of its population classified as overweight or obese⁴. According to World Health Organization data, 58.1% of Pakistanis are overweight, and 43.9% fall within the obese category⁴. Despite their profound public health and economic implications, efforts to address NCDs remain fragmented and insufficient.17 There remains a significant research gap in community-based NCD screening initiatives, particularly within the suburban and peri-urban communities of Faisalabad creating an unmet need to initiate a preventive strategy at community level to raise awareness about these diseases. This direction will minimize the increasing incidence and prevalence of NCDs and will ensure the quality health outcomes for better future. Timely identification of these diseases through screening is a critical step in reducing their impact on individuals and societies. Early detection enables cost-effective management, improved patient outcomes and a higher quality of life.14 One of the most important ways of reducing deaths from noncommunicable diseases (NCDs) is to control the risk factors that lead to their development.6 In this context, the present study aims to evaluate a community-based project focusing on disease awareness, screening, and structured referral to trained treating physicians for early diagnosis and management of major NCDs. The findings are expected to inform scalable, evidence-based interventions to reduce NCD burden and improve population health outcomes in Pakistan.

This is an open-label, prospective, multicenter observational study designed to evaluate the perceived benefits, device experience, preference, and glucose-related parameters associated with the Instara-1 Continuous Glucose Monitoring device. The study will include patients with diabetes and healthcare professionals. Patients will use Instara- 1 and will be followed up to assess device experience, glucose parameters, and diabetes-related quality of life. Healthcare professionals will evaluate device experience and preference, including comparison with FreeStyle Libre 2.

Study Objective To evaluate the safety and tolerability of Empagliflozin with or without metformin in patients with Type II Diabetes Mellitus in the Pakistani population. Study design Open-label, prospective, observational, single arm, multi-center, post-marketing surveillance study. Sample size The estimated sample size will be n=156. Duration of study 12 months (data lock point will be completion of 6 months' follow-up from the time of last patient's enrollment date) Safety Assessment: Patient will be monitored for Hypoglycemia, Dehydration, Hypotension, Urinary Tract Infections, Fungal Infections, Nausea, Vomiting, Diarrhea, Abdominal Discomfort, Flatulence, Asthenia, Indigestion and Other side effects (if any). Follow up visits: After recruitment, patient is supposed to have three visits for follow-ups. Visit 1: 4 to 6 weeks of initiation of therapy. Visit 02: At 12 weeks of initiation of therapy. Visit 03: At 24 weeks of initiation of therapy. LABORATORY TESTING: Reputable Lab is considered for laboratory testing of diabetes patients i.e. HbA1C%, FBG, RFT and urine R/E. The certified clinical lab will be responsible for receiving and analyzing clinical sample. Patients will have special discount of upto 50% for study related laboratory investigations. Where in Urine Routine Examination (Urine R/E), we consider as follows: * Visual Examination: * Urine color: Normal (Yellow), Pale Yellow, Dark Yellow, Brown, Red or Pink or any other. * Urine clarity: Clear, slightly Cloudy, cloudy or turbidity * Chemical Examination: * Specific gravity * pH * Bilirubin * Urobilinogen * Protein * Ketone * Leukocyte Esterase * Microscopic Examination: * Red Blood Cells: * Epithelial Cells: * Amorphous: * Pus Cells * Bacteria * Yeast * Casts * Crystals Where in Renal Function Test (RFT), we consider as follows: * Blood Urea Nitrogen (BUN): mg/dL * Serum Creatinine: mg/dL * Estimated Glomerular Filtration Rate (eGFR): mL/min/1.73 m2

The goal of this study is to "To compare the efficacy and safety of Acotiamide versus Itopride in patient with post prandial distress syndrome type of functional dyspepsia"

D-FAR is to gather robust data on the clinical characteristics, management, and outcomes of patients with diabetic foot complications to enhance understanding, reduce complications, and improve patient care. This will include insights into the prevalence of risk factors, adherence to treatment protocols, and the effectiveness of interventions aimed at reducing the incidence of amputations and other adverse outcomes.

Open-label, prospective, single-arm, multicenter study to determine effects of Ertugliflozin on liver fat, liver fibrosis \& glycemic control in subjects with Type 2 Diabetes Mellitus (T2DM) with Non-Alcoholic Fatty Liver Disease (NAFLD)/Non-Alcoholic Steatohepatitis (NASH)

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.