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| Name | Class |
|---|---|
| Faisalabad Medical Center | UNKNOWN |
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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.
Background:
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.
Primary Objective: To determine the prevalence of obesity, diabetes, hypertension, and dyslipidemia (ODHD) in the suburban areas of Faisalabad through community-based health screenings.
Secondary Objective: To establish and pilot a formal referral pathway that connects newly diagnosed and/ or at-risk individuals from suburban Faisalabad to healthcare facility for confirmation of diagnosis and management and treatment adherence through periodic follow-up.
Methodology: This study will be a community-based cohort with a cross-sectional perspective involving creating awareness, screening for (ODHD) with follow-up of participants over a period of three months.
The study will be conducted in selected low-to-middle socioeconomic areas of Faisalabad, Pakistan, located in proximity to Faisalabad Medical Center (FMC).
Faisalabad Medical Center (FMC) will serve as the clinical and research site responsible for diagnostic confirmation, clinical evaluation, treatment initiation, follow-up assessments, and study data management under the supervision of the Principal Investigator.
Participants Eligibility Criteria
Inclusion criteria:
Exclusion criteria:
Data collection procedures Phase I :Community based screening in the camps (First Contact)
Participant recruitment and informed consent: All individuals aged 18 years and older residing within 5-10 kms vicinity of Faisalabad Medical Center (FMC) will be invited to participate in the screening camps. Screening will be performed to identify at risk individuals for obesity, diabetes, hypertension, and dyslipidemia (ODHD). Individuals meeting the predefined screening-positive criteria will be considered eligible for enrollment into the study cohort. Screen-negative individuals will receive counseling and health education but will not be enrolled in the follow-up cohort. Written informed consent will be obtained from all participants before initiation of any screening activity.
Baseline data collection
Infection Prevention, Biosafety, and Quality Control Procedures
Classification of individuals for referral and diagnosis Participants will be classified based on predefined clinical, anthropometric, and biochemical criteria identified during baseline screening. All participants identified based on the below mentioned criteria will be referred to Faisalabad Medical Center (FMC) for further assessment and diagnostic confirmation.
• Obesity referral criteria[20]: Body mass index (BMI) ≥ 25 kg/m² will be classified and referred for consultation at Faisalabad Medical Center (FMC).
• Diabetes Risk Assessment and High Blood Glucose referral criteria[21]: A diabetes risk score will be calculated for all participants. Individuals with a total risk score of ≥ 4 will undergo capillary blood glucose testing. Participants with a capillary blood glucose level of ≥ 140 mg/dL will be referred to the FMC for confirmation of the diagnosis.
• Severity of Blood Pressure criteria[29]: Participants with an average on-site blood pressure reading of ≥ 140/90 mmHg will be provided with non-pharmacological therapy and will be reassessed in 3 months. These participants will be contacted to visit FMC for confirmation of the diagnosis.
• Hypercholesterolemia referral criteria[23]: Participants with a point-of-care (POC) cholesterol reading of ≥ 200 mg/dL will be referred to the FMC for confirmation of the diagnosis.
Emergency Safety and Referral Procedures
Participants identified during community screening with critically abnormal findings or acute medical symptoms will receive immediate medical attention and will not be managed through the routine referral pathway. Critically abnormal findings may include, but are not limited to:
Such participants will be immediately assessed by a designated healthcare professional at the screening site. Where clinically indicated, emergency medical services will be contacted and the participant will be referred to the nearest emergency department or appropriate healthcare facility for urgent evaluation and management. Family members or attendants will be informed whenever feasible, and all emergency referrals will be documented in study records.
Phase II: Faisalabad Medical Center (Second Contact)
Diagnostic Confirmation
HbA1c FBS Lipid Profile (Total Cholesterol, LDL, HDL, Triglycerides, VLDL) Renal Function Test (Creatinine, BUN, eGFR, Electrolytes, Albumin) Obesity
Diabetes
Hypertension
Dyslipidemia
• Final diagnosis will be established by physicians at FMC based on a combination of clinical evaluation, laboratory findings, and relevant diagnostic criteria, in accordance with national and international standard guidelines for non-communicable diseases.
Management and treatment plan for identified Non- Communicable Diseases
All participants diagnosed with non-communicable diseases (NCDs) following confirmatory evaluation at Faisalabad Medical Center (FMC) will be managed in accordance with national and international standard guidelines.
General Lifestyle and Non-Pharmacological Management
All at-risk individuals and diagnosed participants will receive counseling and guidance on the following lifestyle modification measures as the first-line management strategy:
In addition to general lifestyle modifications, disease-specific management will be provided where clinically indicated. Detailed treatment protocols aligned with standard clinical guidelines are provided in the respective annexures.
Follow-up and Monitoring Participants initiated on treatment will be followed up at 1 month for safety data and at 3-months for evaluating the control of the disease. Follow-up will assess
Team Composition and Roles
Field Screening Team:
Community screening activities will be conducted by trained healthcare workers, supported by two field workers (1 male & 1 Female) and one field manager. The healthcare workers will be responsible for participant registration, informed consent, questionnaire administration, anthropometric measurements, blood pressure assessment, and point-of-care testing for blood glucose and cholesterol. The field workers will assist with community mobilization and on-site logistics.
The field manager will oversee daily screening activities, ensure adherence to study protocols, verify completeness and accuracy of collected data, and ensure timely referral of participants to Faisalabad Medical Center.
Clinical, Research, and Data Management Team:
The study will be conducted by a qualified physician and 2 research associates (1 male, 1 female). The physician will perform clinical evaluations, confirm diagnoses, and initiate treatment according to standard-of-care guidelines. The research associates will ensure participants' consent, questionnaire completion, facilitate physician's consultations, ensure completion of required laboratory investigations, participant follow-up and management, perform data entry and secure storage of study data and complete adverse drug reaction (ADR) forms during follow-up if any participant experiences medication-related side effects.
Data Storage, Confidentiality, and Access Control All paper-based study documents, including consent forms and screening questionnaires, will be stored in locked filing cabinets at Faisalabad Medical Center (FMC) under the supervision of the Principal Investigator. Electronic data will be entered into a password-protected and access-restricted database maintained on secure institutional computers at FMC.
Each participant will be assigned a unique study identification number. Identifiable information will be stored separately from study data in a password-protected linkage file accessible only to the Principal Investigator. All analyses will be conducted using de-identified (coded) datasets.
Access to identifiable data will be strictly limited to the Principal Investigator and designated authorized study personnel. Co-investigators and data analysts will have access only to coded or anonymized data. Incase needed the data will only be shared in encrypted form as permitted by the Principle Investigator. The study sponsor (Getz Pharma (Pvt) Limited) will not have access to identifiable or individual-level coded data and will only receive aggregated, anonymized results for reporting and regulatory purposes.
All study data will be retained securely for five years after study completion in accordance with institutional policies and ethical guidelines. Thereafter, paper records will be securely destroyed, and electronic data will be permanently deleted or stored in encrypted archives as per institutional requirements.
Quality Assurance and Confidentiality Daily review of completed forms will be performed by field manager for screening data and by principal investigator for post-diagnosis and treatment data to identify missing data or inconsistencies in dataset. All personnel will be trained in data confidentiality and participant privacy. Participants will be identified using unique study identification numbers, and access to identifiable data will be restricted to PI and authorized study staff only.
Sampling Methodology and Sampling Frame This study will utilize a community-based, consecutive sampling approach. Two suburban communities of Faisalabad will be purposively selected based on population density, accessibility, and limited access to structured NCD screening services. Within each community, temporary screening camps will be established, supported by a structured awareness and mobilization campaign involving local leaders, community volunteers, and informational outreach to encourage participation.
The sampling frame will include all adults (≥18 years) residing in the selected communities who attend the screening camps during the study period. Participants will be enrolled consecutively until the target sample size is achieved. This approach is appropriate for community health screening initiatives where individuals voluntarily self-present, and it allows efficient recruitment while ensuring broad community coverage. The final sample size of 3,000 participants (including 10% overestimation for attrition) will be distributed across the two communities.
Sample size
Sample size for the study has been calculated as per the prevalence of each disease. Below mentioned formula for sample size calculation is used:
N=(z2 * P * Q)/e2 N= Sample Size Z= Z-Score (1.96) P= Prevalence Q= Non-Prevalence e= Margin of error (5%)
Disease Prevalence % Sample Size Obesity[17] 58% 374 Diabetes[18] 31% 328 Hypertension[24] 43% 374 Dyslipidemia[19] 75% 288 Total sample 1364 (As two areas will be included, the total estimated sample size will be 2,728) Attrition rate 10% of total sample 273 Overall sample ≈ 3000
Statistical Analysis Plan Data will be entered, cleaned, and analyzed using statistical software SPSS v-22. Data will be checked for completeness, consistency, and outliers before performing the analysis. Continuous variables will be assessed for normality using graphical methods (histograms, Q-Q plots) and statistical tests where appropriate.
Descriptive Analysis Descriptive statistics will be used to summarize the study population. Continuous variables will be presented as mean ± standard deviation (SD) for normally distributed data, or median with interquartile range (IQR) for skewed data. Categorical variables will be summarized as frequencies and percentages.
The prevalence of obesity, diabetes, hypertension, and hyperlipidemia will be calculated as proportions with corresponding 95% confidence intervals (CIs). Each condition will be defined according to standard clinical criteria.
Bivariate analyses will be conducted to assess associations between each outcome variable (obesity, diabetes, hypertension, and hyperlipidemia) and independent variables such as age, sex, socioeconomic status, physical activity, dietary habits, smoking status, and family history. The Chi-square test (or Fisher's exact test where appropriate) will be used for associations between categorical variables. Independent sample t-tests or Mann-Whitney U tests will be applied for comparisons involving continuous variables, depending on data distribution.
Multivariable logistic regression analysis will be performed to identify independent factors associated with each outcome. Separate regression models will be constructed for obesity, diabetes, hypertension, and hyperlipidemia. Variables with a p-value <0.20 in bivariate analysis, as well as those considered clinically relevant, will be included in the multivariable models. Adjusted odds ratios (AORs) with 95% confidence intervals will be reported. Model assumptions will be assessed, including multicollinearity using variance inflation factors (VIF).
Missing data will be assessed for extent and pattern. If the proportion of missing data is minimal (<5%), complete case analysis will be performed. For higher levels of missingness, appropriate methods such as multiple imputation may be considered.
All statistical tests will be two-sided, and a p-value of <0.05 will be considered statistically significant.
Follow-up Analysis (3-Month Cohort of at-Risk Individuals) Participants identified as at-risk at baseline will be enrolled in a 3-month follow-up cohort. Laboratory investigations and clinical measurements will be obtained at baseline and at 3 months.
Changes in clinical and laboratory parameters (e.g., blood glucose, blood pressure, lipid profile, BMI) between baseline and 3 months will be assessed using paired t-test for normally distributed variables and Wilcoxon signed-rank test for non-normally distributed variables. Effect of treatment and adherence outcomes will be compared across treatment groups (on treatment vs not on treatment) and adherence categories (good vs poor adherence) using independent t-test or Mann-Whitney U test for two groups and ANOVA or Kruskal-Wallis test for more than two groups as appropriate.
Regression models (e.g., linear regression for continuous outcomes, logistic regression for binary outcomes) will be used to assess predictors of improvement at 3 months, adjusting for baseline values and potential confounders.
Study Outcomes Primary Outcomes
Proportion of screened participants identified for:
Proportion of participants who convert to standard-of-care treatment following diagnostic confirmation within three months.
Secondary Outcomes
The secondary outcomes of this study include:
Treatment adherence
o Proportion of participants with confirmed NCD diagnoses who report adherence to prescribed medications and recommended lifestyle modifications at three-month follow-up.
Disease Control o To measure the reduction in ODHD symptoms and laboratory investigations through repeat assessments at follow up.
Ethical Considerations
Conflict of Interest This study is sponsored and funded by Getz Pharma (Pvt) Limited. The project is being implemented by Liver Foundation Trust in collaboration with Faisalabad Medical Center (FMC), which serves as the clinical and research site. The sponsor will provide financial and logistical support for the conduct of the study. The sponsor will have no role in determining participant eligibility, diagnosis, treatment allocation, prescribing practices, clinical decision-making, data collection procedures, statistical analyses, interpretation of study findings, manuscript preparation, or publication decisions. The sponsor will not have access to identifiable participant information and will only receive aggregated and anonymized study reports. The principal investigator and study team declare that they have no personal financial or other conflicts of interest related to the conduct, analysis, interpretation, or reporting of study findings. Any potential conflicts arising during the study will be disclosed and managed in accordance with institutional and ethical committee policies.
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| Measure | Description | Time Frame |
|---|---|---|
| 1. Proportion of screened participants identified for: Overweight and Obesity, Diabetes mellitus, Hypertension and Dyslipidemia. 2. Proportion of participants who convert to standard-of-care treatment following diagnostic confirmation within three month. | Participants will be screened according to standard South Asian population guidelines. Patients diagnosed with specific diseases will receive appropriate treatment as prescribed by the treating physician and will be followed up for a period of three months to assess clinical outcomes and treatment response | Patient will be followed for 3 months |
| Primary Outcomes 1. Proportion of screened participants identified for: o Overweight and Obesity o Diabetes mellitus o Hypertension o Dyslipidemia 2. Proportion of participants who convert to standard-of-care treatment following diagnostic confirmation | 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Treatment adherence and Disease Control | Proportion of participants with confirmed NCD diagnoses who report adherence to prescribed medications and recommended lifestyle modifications at three-month follow-up. To measure the reduction in ODHD symptoms and laboratory investigations through repeat assessments at follow up. | Patients will be followed for three months |
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Inclusion Criteria:
Age: 18 years and above Gender: Both male and female Permanent residents of the selected study areas Willing to participate and provide informed consent
Exclusion Criteria:
Pregnant and lactating women Oral and injectable contraceptive users Individuals with severe physical or cognitive impairments that prevent them from providing informed consent or participating in the screening procedures Individuals with implanted electronic medical devices (e.g., pacemakers or implantable cardioverter-defibrillators) will not undergo bioelectrical impedance analysis (BIA) for body composition assessment.
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Asymptomatic Healthy Individuals
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Syeda Fatima, PharmD | Contact | +923702501582 | fatima.abidi@getzpharma.com |
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| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 20864751 | Background | Greenwood JL, Joy EA, Stanford JB. The Physical Activity Vital Sign: a primary care tool to guide counseling for obesity. J Phys Act Health. 2010 Sep;7(5):571-6. doi: 10.1123/jpah.7.5.571. | |
| Background | 27. Gradidge PJ, Crouch SH, Thornton J, Matsena Zingoni Z, Torres G, Stoutenberg M, Kolkenbeck-Ruh A, Woodiwiss AJ, Mhlaba M, Ware LJ. Physical activity vital sign assessment and associated health outcomes in an underserved South African community. Journal of Public Health. 2026 Mar;34(3):495-505. | ||
| 21532953 |
| Label | URL |
|---|---|
| 24\. World Health Organization. Hypertension country profile: Pakistan \[Internet\]. Geneva: World Health Organization; 2023 \[cited 2026 Mar 30\]. Available from: | View source |
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D006973 | Hypertension |
| D009765 | Obesity |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| Background |
| Morin CM, Belleville G, Belanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011 May 1;34(5):601-8. doi: 10.1093/sleep/34.5.601. |
| 32809726 | Background | Pappan N, Awosika AO, Rehman A. Dyslipidemia. 2024 Mar 4. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2026 Jan-. Available from http://www.ncbi.nlm.nih.gov/books/NBK560891/ |
| 24988398 | Background | Al-Baghli NA, Al-Turki KA, Al-Ghamdi AJ, Prasad K, Taha AZ, Al-Almaie SM. Evaluation of capillary blood glucose versus a high-risk questionnaire for screening for undiagnosed diabetes mellitus in Eastern province, Saudi Arabia. East Mediterr Health J. 2012 Dec 4;16(12):1237-44. doi: 10.26719/2010.16.12.1237. |
| 23863826 | Background | Misra A, Shrivastava U. Obesity and dyslipidemia in South Asians. Nutrients. 2013 Jul 16;5(7):2708-33. doi: 10.3390/nu5072708. |
| Background | 19. Wassan AA, Khan G, Usman M, Mubashir M, Tanveer T, Attique H. The Prevalence of Dyslipidemia in Patients of Newly Diagnosed Type 2 Diabetes Mellitus (T2DM) Attending Tertiary Care Hospital Federal Government Polyclinic (PGMI), Islamabad. PJMR [Internet]. 2024 Feb. |
| Background | 17. Ashraf T, Sultana R, Nadeem A, Lashari MN. Obesity from Clinical Evaluation to Management Local Perspective. Pakistan Heart Journal. 2023 Dec 31;56(4):248-9. |
| 41084014 | Background | Akhtar S, Aziz N, Baloch F, Jarrar Z, Khan S, Hanif S, Qamar S, Imran M, Khattak M, Awan S, Almas A, Kamal A, Samad Z. Non-communicable diseases prevention and control in Pakistan: recommendations from policy and public health experts. BMC Proc. 2025 Oct 14;19(Suppl 30):32. doi: 10.1186/s12919-025-00350-4. |
| Background | 13. Jenim N. The importance of early detection and screening for noncommunicable diseases. J Bioeng Biomed Sci. 2023;13:382. |
| 39899488 | Background | Haq Z, Afaq S, Ibrahim M, Zala, Asim M. Prevalence of communicable, non-communicable diseases, disabilities and related risk factors in Khyber Pakhtunkhwa Pakistan: Findings from the Khyber Pakhtunkhwa Integrated Population and Health Survey (2016-17). PLoS One. 2025 Feb 3;20(2):e0308209. doi: 10.1371/journal.pone.0308209. eCollection 2025. |
| 36515443 | Background | Kazmi T, Nagi M, Razzaq S, Hussnain S, Shahid N, Athar U. Burden of noncommunicable diseases in Pakistan. East Mediterr Health J. 2022 Nov 30;28(11):798-804. doi: 10.26719/emhj.22.083. |
| Background | 4. Ashraf T, Sultana R, Nadeem A, Lashari MN. Obesity from Clinical Evaluation to Management Local Perspective. Pakistan Heart Journal. 2023 Dec 31;56(4):248-9. |
| Background | 3. Wassan AA, Khan G, Usman M, Mubashir M, Tanveer T, Attique H. The Prevalence of Dyslipidemia in Patients of Newly Diagnosed Type 2 Diabetes Mellitus (T2DM) Attending Tertiary Care Hospital Federal Government Polyclinic (PGMI), Islamabad. PJMR [Internet]. 2024 Feb. 6 [cited 2026 Mar. 26];62(4):153-7. |
| Background | 2. Malik ZI, Iqbal S, Zafar S, Anees M, Shah HB, Farooq U, Abid J, Akram S, Ghazanfar M, Ahmad AM. Lifestyle-related determinants of noncommunicable diseases (NCDs) across various age groups in Pakistan. International Journal of Nutrition, Pharmacology, Neurological Diseases. 2024 Apr 1;14(2):177-84. |
| 18\. International Diabetes Federation. Pakistan \[Internet\]. Brussels: International Diabetes Federation; \[cited 2026 Mar 30\]. Available from: | View source |
| 15\. Gharibzadeh S, Donnelly R, Lee J, Highton PJ, Greenlaw N, Gillies C, et al. Risk factors for development of diabetic foot ulcer disease in two large contemporary UK cohorts. Diabetes Obes Metab. 2025;27(9):4782-4792. Available from: | View source |
| 14\. WHO. Management of noncommunicable diseases \[Internet\]. www.who.int. 2024. Available from: | View source |
| 11\. Bhatti MW. Nearly 42pc Pakistanis hypertensive, only 12pc control it: WHO \[Internet\]. Karachi: The News International; 2025 \[cited 2026 Mar 26\]. Available from: | View source |
| 7\. World Health Organization. Home \[Internet\]. ncdportal.org. 2024. Available from: | View source |
| World Health Organization. Noncommunicable diseases \[Internet\]. www.who.int. 2025. Available from: | View source |
| 5\. World Health Organization. Noncommunicable diseases \[Internet\]. World Health Organization. 2024. Available from | View source |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |