BIOSTATISTICS

The Department of Biostatistics was founded in 2006 to cater to the needs of the large-scale epidemiological and clinical studies conducted at MDRF. The biostatistics department under the able guidance of Dr. R. Guha Pradeepa, aims to develop innovative statistical methodologies and implement best practices in biostatistics to drive scientific advances that benefit human health.

Vision

To be a leading hub of excellence in biostatistics, advancing scientific discovery and public health through innovative statistical methodologies, collaborative research, and capacity building. The department envisions empowering researchers with robust quantitative tools to generate reliable evidence, foster interdisciplinary partnerships, and translate data into impactful knowledge that improves human health and well-being.

Mission

• To provide cutting-edge statistical expertise and methodological innovation for high-quality biomedical and public health research.
• To collaborate with interdisciplinary teams to design, analyze, and interpret studies that produce dependable and reproducible evidence.
• To develop novel statistical approaches methods to tackle emerging challenges within the health sciences.
• To strengthen research capacity by educating and mentoring researchers and students in biostatistics and data science.

The Biostatistics Department engages in a broad spectrum of research spanning both applied and methodological domains. Applied research addresses pressing public health issues such as chronic diseases including diabetes and cardiovascular conditions, birth outcomes in GDM, healthcare access and utilization, etc., Methodological strengths include expertise in life-course epidemiology, longitudinal study designs and analysis, behavior change interventions studies, clinical trials etc., Through this diverse portfolio, the department supports advances in biomedical and public health research and fosters innovation in statistical science.

Dr. R. Guha Pradeepa

Capacity Building

The Department of Biostatistics is committed to strengthening the statistical and analytical capabilities of researchers, clinicians, and public health professionals through comprehensive capacity-building initiatives. Recognizing the growing importance of data-driven decision making in health research, we offer a range of programs designed to enhance statistical literacy, methodological accuracy, and data interpretation skills across the institution.

Development of Statistical Tools

To facilitate user-friendly data analysis, we develop and maintain web-based calculators and Shiny applications that enable clinicians and researchers to compute risk scores, perform sample size calculations, and generate descriptive statistics without deep programming knowledge.

Mentorship for Students

We offer internship programs for postgraduate students, research staff, and faculty members, focusing on building core capabilities in biostatistics, data science, and epidemiological methods. This includes support for academic writing, statistical reporting, and use of advanced software tools.

Promoting Research Methodology Awareness

Through regular seminars, journal clubs, and symposia, the department promotes awareness of the latest developments in statistical methodology, encouraging interdisciplinary learning and the application of innovative techniques in health research.

Training Workshops

We regularly organize hands-on workshops and short courses on topics such as statistical analysis using R, PYTHON, SAS, STATA, advanced regression modelling, survival analysis, sample size calculation, and clinical trial design. These programs are tailored to meet the needs of diverse audiences, from beginners to advanced researchers.

Collaborative Research Support

The department actively engages in collaborative research projects, providing expert statistical consulting and methodological guidance to enhance the quality of scientific studies. We work closely with investigators from various disciplines to develop study designs, analyse complex data, and interpret results.

Publications

  1. Subashini R, Deepa M, Padmavati R, Thara R, Mohan V. Prevalence of diabetes, obesity and metabolic syndrome in subjects with and without schizophrenia (CURES – 104). Journal of Postgraduate Medicine. October 2011; 57: 272-277.
  2. Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS, Dhandhania VK, Nath LM, Das AK, Rao PV, Madhu SV, Shukla SK, Kaur T, Priya M, Nirmal E, Parvathi SJ, Subhashini S, Subashini R, Ali MK, Mohan V.  On behalf of the ICMR–INDIAB Collaborative Study Group. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study. 2011; Sep 30 [Epub].
  3. Unnikrishnan R, Anjana RM, Deepa M, Pradeepa R, Joshi SR, Bhansali A, Dhandania VK, Joshi PP, Madhu SV, Rao PV, Lakshmy R, Jaishri R, Velmurugan K, Nirmal E, Subashini R,  Vijayachandrika V, Kaur T, Shukla DK, Das AK,  Mohan V. On behalf of the ICMR–INDIAB Collaborative Study Group. Glycemic control among individuals with self-reported diabetes in India – The ICMR-INDIAB study. Diabetes Technology & Therapeutics. 2014. 16: 596 – 603.
  4. Anjana RM, Pradeepa R, Das AK, Deepa M, Bhansali A, Joshi SR, Joshi PP, Dhandhania VK, Rao PV, Sudha V, Subashini R, Unnikrishnan R, Madhu SV, Kaur T, Mohan V, Shukla DK; ICMR– INDIAB Collaborative Study Group. Physical activity and inactivity patterns in India – results from the ICMR-INDIAB study (Phase-1) [ICMR-INDIAB-5]. International Journal of Behavioral Nutrition and Physical Activity. 2014; 11:26.
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Publications

  1. Subashini R, Deepa M, Padmavati R, Thara R, Mohan V. Prevalence of diabetes, obesity and metabolic syndrome in subjects with and without schizophrenia (CURES – 104). Journal of Postgraduate Medicine. October 2011; 57: 272-277.
  2. Anjana RM, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, Bhansali A, Joshi SR, Joshi PP, Yajnik CS, Dhandhania VK, Nath LM, Das AK, Rao PV, Madhu SV, Shukla SK, Kaur T, Priya M, Nirmal E, Parvathi SJ, Subhashini S, Subashini R, Ali MK, Mohan V.  On behalf of the ICMR–INDIAB Collaborative Study Group. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: Phase I results of the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study. 2011; Sep 30 [Epub].
  3. Unnikrishnan R, Anjana RM, Deepa M, Pradeepa R, Joshi SR, Bhansali A, Dhandania VK, Joshi PP, Madhu SV, Rao PV, Lakshmy R, Jaishri R, Velmurugan K, Nirmal E, Subashini R,  Vijayachandrika V, Kaur T, Shukla DK, Das AK,  Mohan V. On behalf of the ICMR–INDIAB Collaborative Study Group. Glycemic control among individuals with self-reported diabetes in India – The ICMR-INDIAB study. Diabetes Technology & Therapeutics. 2014. 16: 596 – 603.
  4. Anjana RM, Pradeepa R, Das AK, Deepa M, Bhansali A, Joshi SR, Joshi PP, Dhandhania VK, Rao PV, Sudha V, Subashini R, Unnikrishnan R, Madhu SV, Kaur T, Mohan V, Shukla DK; ICMR– INDIAB Collaborative Study Group. Physical activity and inactivity patterns in India – results from the ICMR-INDIAB study (Phase-1) [ICMR-INDIAB-5]. International Journal of Behavioral Nutrition and Physical Activity. 2014; 11:26.
  5. Bhansali A, Dhandania VK, Deepa M, Anjana RM, Joshi SR, Joshi PP, Madhu SV, Rao PV, Subashini R, Sudha V, Unnikrishnan R, Das AK, Shukla DK, Kaur T, Mohan V, Pradeepa R. Prevalence of and risk factors for hypertension in urban and rural India: the ICMR-INDIAB study. J Hum Hypertens. 2015; 29:204-9.
  6. Anjana RM, Shanthirani CS, Unnikrishnan R, Mugilan P, Amutha A, Nair HD, et al. Regularity of follow-up, glycemic burden, and risk of microvascular complications in patients with type 2 diabetes: a 9-year follow-up study. Acta Diabetol. 2015;52:601–9.
  7. Deepa M,Bhansali A, Anjana RM, Pradeepa R, Joshi SR, Joshi PP, Dhandhania VK, Rao PV, Subashini R, Unnikrishnan R, Shukla DK, Madhu SV, Das AK, Mohan V, Kaur T. Knowledge and awareness of diabetes in urban and rural India: The Indian Council of Medical Research India Diabetes Study (Phase 1): Indian Council of Medical Research India Diabetes 4. Indian Journal of Endocrinology and Metabolism. 2014; 18: 379-385.
  8. Pradeepa R, Anjana RM, Joshi SR, Bhansali A, Deepa M, Joshi PP, Dhandania VK, Madhu SV,  Rao PV, Geetha L, Subashini R, Unnikrishnan R, Shukla DK, Kaur T, Mohan V, Das AK, for the ICMR-INDIAB Collaborative Study Group. Prevalence of generalized & abdominal obesity in urban & rural India- the ICMR-INDIAB study (Phase-I) [ICMR-INDIAB-3]. Indian Journal of Medical Research. 2015; 142:
  9.  Joshi SR, Anjana RM, Deepa M, Pradeepa R, Bhansali A, Dhandania VK, Joshi PP, Unnikrishnan R, Nirmal E, Subashini R, Madhu SV, Rao PV, Das AK, Kaur T, Shukla DK, Mohan V; ICMR– INDIAB Collaborative Study Group. Prevalence of     Dyslipidemia in Urban and Rural India: The ICMR-INDIAB Study. PLoS One.     2014;9:e96808.
  1. Ratna BS, Thangamani S, Subashini R, Unnikrishnan R, Mohan V.  Clinical experience with ambulatory glucose profile for monitoring glucose control in newly diagnosed type 2 diabetes mellitus on early intensive insulin therapy.  Journal of Diabetology. 2016; 2:5
  2. Unnikrishnan R, Rani CSS, Anjana RM, Uthra SC, Vidya J, Sankari GU, et al. Postpartum development of type 1 diabetes in Asian Indian women with gestational diabetes. Indian J Endocrinol Metab. 2016;20:702–6.
  3. Sendhilkumar M, Tripathy JP, Harries AD, Dongre AR, Deepa M, Vidyulatha A, et al. Factors associated with high stress levels in adults with diabetes mellitus attending a tertiary diabetes care center, Chennai, Tamil Nadu, India. Indian J Endocrinol Metab. 2017;21:56–63.
  4. Prasanna NS, Amutha A, Pramodkumar TA, Anjana RM, Venkatesan U, Priya M, et al. The 1 h post glucose value best predicts future dysglycemia among normal glucose tolerance subjects. J Diabetes Complications. 2017;31:1592–6.
  5. Amutha A, Anjana RM, Venkatesan U, Ranjani H, Unnikrishnan R, Narayan KV, et al. Incidence of complications in young-onset diabetes: comparing type 2 with type 1 (the young diab study). Diabetes Res Clin Pract. 2017;123:1–8.
  6. Anjana RM, Deepa M, Pradeepa R,  Mahanta J, Narain K, Das HK, Adhikari P, Rao PV, Saboo B, Kumar A,  Bhansali A,  John M, Luaia R, Reang T,  Ningombam S, Jampa L,  Budnah RO, Elangovan N, Subashini R, Venkatesan U, Unnikrishnan R, Das AK, Madhu SV,  Ali MK, Pandey A, Dhaliwal RS,  Kaur T, Swaminathan S, Mohan V, for the ICMR–INDIAB Collaborative Study Group. Prevalence of diabetes and prediabetes in 15 states of India: results from the ICMR–INDIAB population-based cross-sectional study. Lancet Diabetes & Endocrinology. 2017; 5:585 – 596.
  7. Ratna S, Subashini R, Unnikrishnan R, Mohan V. Use of Freestyle Libre ProTM Flash Glucose Monitoring System in Different Clinical Situations at a Diabetes Centre. Journal of Association of Physicians of India. 2017;65:18-23.
  8. Rajalakshmi R, Subashini R, Anjana RM, Mohan V. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye. 2018; 32: 1138-1144.
  9. Jayashri R, Venkatesan U, Rohan M, Gokulakrishnan K, Shanthi Rani CS, Deepa M, et al. Prevalence of vitamin B12 deficiency in South Indians with different grades of glucose tolerance. Acta Diabetol. 2018;55:1283–93.
  10. Anjana RM, Unnikrishnan R, Mugilan P, Jagdish PS, Parthasarathy B, Deepa M, et al. Causes and predictors of mortality in Asian Indians with and without diabetes–10 year follow-up of the Chennai Urban Rural Epidemiology Study (CURES-150). PLoS One. 2018;13(7):e0197376.
  11. Pramodkumar TA, Jayashri R, Gokulakrishnan K, Velmurugan K, Pradeepa R, Venkatesan U, et al. 1, 5 Anhydroglucitol in gestational diabetes mellitus. J Diabetes Complications. 2019;33:231–5.
  12. Prathiba V, Rajalakshmi R, Arulmalar S, Usha M, Subashini R, Gilbert CE, Anjana RM, Mohan V. Accuracy of the smartphone-based nonmydriatic retinal camera in the detection of sight-threatening diabetic retinopathy. Indian Journal of Ophthalmology. 2020;68(Suppl): S42-S46.
  13. Jayashri R, Venkatesan U, Shanthirani CS, Deepa M, Anjana RM, Mohan V, et al. Prevalence of vitamin D deficiency in urban south Indians with different grades of glucose tolerance. Br J Nutr. 2020;124:209–16.
  14. Mohan V, Anjana RM, Unnikrishnan R, Venkatesan U, Sankari GU, Rahulashankiruthiyayan T, et al. Incidence of hypertension among Asian Indians: 10 year follow up of the Chennai Urban Rural Epidemiology Study (CURES-153). J Diabetes Complications. 2020;34:107652.
  15. Anjana RM, Pradeepa R, Deepa M, Jebarani S, Venkatesan U, Parvathi SJ, et al. Acceptability and utilization of newer technologies and effects on glycemic control in type 2 diabetes: lessons learned from lockdown. Diabetes Technol Ther. 2020;22:527–34.
  16. Anjana RM, Mohan V, Rangarajan S, Gerstein HC, Venkatesan U, Sheridan P, et al. Contrasting associations between diabetes and cardiovascular mortality rates in low-, middle-, and high-income countries: cohort study data from 143,567 individuals in 21 countries in the PURE study. Diabetes Care. 2020;43(12):3094–101.
  17. Rajalakshmi R, Rani CSS, Venkatesan U, Unnikrishnan R, Anjana RM, Rani SJ, et al. Correlation between markers of renal function and sight-threatening diabetic retinopathy in type 2 diabetes: a longitudinal study in an Indian clinic population. BMJ Open Diabetes Res Care. 2020;8(1).
  18. Anjana RM, Deepa  M, Subashini R, Patel SA,  Kondal D,  Unnikrishnan  R,  Tandon N,  Prabhakaran D,  Narayan KMV,  Kadir  MM, Mohan V,  Ali MK. Temporal changes in diabetes prevalence and achievement of care goals in urban South Asia from 2010 to 2016 – The Center for Cardio‐metabolic Risk Reduction in South Asia Study. Diabetic Medicine. 2020. Published online: 16 October 2020.
  19. Viswanathan M, Ranjit Mohan A, Ranjit U, Prasanna Kumar G, Philips R, Saravanan J, et al. Clinical Profile of elderly patients (over 90 years) with type 2 diabetes seen at a diabetes center in south India. Diabetes Technol Ther. 2020;22(2):79–84.
  20. Chandru S, Prabhu P, Balasubramanyam M, Subhashini R, Tiwaskar M, Pramodkumar TA, Pradeepa R, Anjana RM, Mohan V. Beneficial Primary Outcomes of Metabolic Surgery with Changes in Telomere Length and Mitochondrial DNA in Obese Asian Indians with Dysglycemia. Journal of The Association of Physicians of India. 2021;69:117-121
  21. Sai KG, Jalaja R, Amutha A, Venkatesan U, Anjana RM, Unnikrishnan R. Psychological Impact of COVID-19 on Teens Belonging to a Social Media Group. J Diabetol. 2021;12:232–6.
  22. Ahuja V, Aronen P, Pramodkumar T, Looker H, Chetrit A, Bloigu AH, et al. Accuracy of 1-hour plasma glucose during the oral glucose tolerance test in diagnosis of type 2 diabetes in adults: a meta-analysis. Diabetes Care. 2021;44:1062–9.
  23. Pradeepa R, Subashini R, Venkatesan U, Ningombam S, Purty A, John M, Reang T, Luaia R, Tripathy SK, Modi S, Mokta JK, Desai A, Dash K, Deepa M, Nirmal E, Unnikrishnan R, Anjana RM, Kaur T, Dhaliwal RS, Mohan V. Effect of internal migration on diabetes and metabolic abnormalities in India – The ICMR-INDIAB study. J Diabetes Complications. 2021;35:108051.
  24. Natarajan H, Shanthi Rani CS, Krishna Kumar D, Anjana RM, Ranjit U, Venkatesan U, et al. Future risk of diabetes among Indians with metabolic and phenotypic obesity: Results from the 10-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES–158). Acta Diabetol. 2021;58:1051–8.
  25. Amutha A, Ranjit U, Anjana RM, Shanthi R CS, Rajalakshmi R, Venkatesan U, et al. Clinical profile and incidence of microvascular complications of childhood and adolescent onset type 1 and type 2 diabetes seen at a tertiary diabetes center in India. Pediatr Diabetes. 2021;22:67–74.
  26. Kasthuri S, Poongothai S, Anjana RM, Selvakumar J, Muthukumar S, Kayalvizhi S, et al. Comparison of glycemic excursion using flash continuous glucose monitoring in patients with type 2 diabetes mellitus before and after treatment with voglibose. Diabetes Technol Ther. 2021;23:213–20.
  27. Rajalakshmi R, UmaSankari G, Prathiba V, Anjana RM, Unnikrishnan R, Venkatesan U, et al. Tele-ophthalmology versus face-to-face retinal consultation for assessment of diabetic retinopathy in diabetes care centers in India: a multicenter cross-sectional study. Diabetes Technol Ther. 2022;24:556–63.
  28. Anjana RM, Unnikrishnan R, Deepa M, Venkatesan U, Pradeepa R, Shashank Joshi, Banshi Saboo, Das AK, Sarita Bajaj, Bhansali A, Madhu SV, Dhandhania VK, Jabbar PK, Jain SM, Arvind Gupta, Chowdhury S, Ali MK, Nirmal E, Subashini R, Kaur R, Dhaliwal RS, Tandon N, Mohan V, for the ICMR-INDIAB collaborators. Achievement of guideline recommended diabetes treatment targets and health habits in people with self-reported diabetes in India (ICMR-INDIAB-13): a national cross-sectional study. Lancet Diabetes and Endocrinology. 2022;10:430 – 441.
  29. Deepa M, Anjana RM, Unnikrishnan R, Pradeepa R, Das AK, Madhu SV, Rao PV, Joshi S, Saboo B, Kumar A, Bhansali A, Gupta A, Bajaj S, Elangovan N, Venkatesan U, Subashini R, Kaur T, Dhaliwal RS, Tandon N, Mohan V; ICMR– INDIAB Collaborative Study Group. Variations in glycated haemoglobin with age among individuals with normal glucose tolerance: Implications for diagnosis and treatment-Results from the ICMR-INDIAB population-based study (INDIAB-12). Acta Diabetol. 2022;59:225-232.
  30. Thirumoorthy C, Deepa M, Srikumar B, Hannah W, Venkatesan U, Nikhil P, et al. Altered levels of neurobiological biomarkers at the interface of depression and gestational diabetes mellitus in Asian Indian women. Neuropeptides. 2022;93:102245.
  31. Pradeepa RG, Anjana R, Amutha A, Rani CS, Jebarani S, Venkatesan U, et al. IDF21-0636 Effects of COVID-19 lockdown on lifestyle changes and medical challenges in patients with type 1 diabetes in south India. Diabetes Res Clin Pract. 2022;186.
  32. Deepasri Mohan 1, Yogesh Bhuvaneshwar 2, Ramakrishnan Manjankarni Jeyaram 3, Sukanya Saravanan 4, Anandakumar Amutha 5; Research TeamTeam* Dental Caries and their Relation to HbA1c in Adults with Type 2 Diabetes MellitusIndian J Public Health 2022 ;66:206-209.
  33. Anjana RM, Srinivasan S, Sudha V, Joshi SR, Saboo B,  Tandon N, Das SK,  Jabbar PK, Madhu SV, Gupta A, Bajaj S, Chowdhury S, Kalra S, Gayathri R,  Abirami K,   Manasa VS, Thamotharan P, Lakshmipriya N,  Geetha G, Deepa M,  Pradeepa R,  Unnikrishnan R, Kurpad AV,  Krishnaswamy K,  Kaur T, Dhaliwal RS, Mohan V, for the ICMR– INDIAB Collaborative Study Group. Macronutrient recommendations for remission and prevention of diabetes in Asian Indians based on a data driven optimization model: the ICMR-INDIAB national study. Diabetes Care. 2022;45:2883-2891.
  34. Mohan V, Shanthi Rani CS, Saboo B, Mukhopadhyay S, Chatterjee S, Dharmarajan P, et al. Clinical profile of long-term survivors and nonsurvivors with type 1 diabetes in India. Diabetes Technol Ther. 2022;24:120–9.
  35. Vidyulatha J, Pramodkumar TA, Pradeepa R, Poongothai S, Thenmozhi S, Venkatesan U, et al. Association of stress, depression and anxiety among individuals with microvascular complications in type 2 diabetes. J Diabetol. 2022;13:294–300.
  36. Vidyulatha J, Pramodkumar TA, Pradeepa R, Deepa M, Poongothai S, Venkatesan U, et al. Prevalence and impact of stress among individuals with type 2 diabetes attending a tertiary diabetes center in South India. J Diabetol. 2022;13:122–8.
  37. Rajalakshmi R, UmaSankari G, Sivaprasad S, Venkatesan U, Kumpatla S, Shanthirani CS, et al. Prevalence and risk factors for diabetic retinopathy in prediabetes in Asian Indians. J Diabetes Complications. 2022;36:108131.
  38. Raveendiran AG, Pradeepa R, Ulagamathesan V, Chambers JC, Mohan V, Venkatasubramanian P, et al. Prevalence of and risk factors for diabesity in urban Chennai. J Diabetol. 2023;14:34–40.
  39. Aarthy R, Aston-Mourney K, Amutha A, Mikocka-Walus A, Anjana RM, Unnikrishnan R, et al. Prevalence, clinical features and complications of common forms of Maturity Onset Diabetes of the Young (MODY) seen at a tertiary diabetes centre in south India. Prim Care Diabetes. 2023;17:401–7.
  40. Anjana RM, Unnikrishnan R, Deepa M, Pradeepa R, Tandon N, Das AK, Joshi S, Bajaj S, Jabbar PK, Das HK, Kumar A, Dhandhania VK, Bhansali A, Rao PV, Desai A, Kalra S, Gupta A, Lakshmy R, Madhu SV, Elangovan N, Chowdhury S, Venkatesan U, Subashini R, Kaur T, Dhaliwal RS, Mohan V, for the ICMR-INDIAB Collaborative Study Group. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). The Lancet Diabetes & Endocrinology, 2023; 11:474-489.
  41. Aarthy R, Aston-Mourney K, Amutha A, Mikocka-Walus A, Anjana RM, Unnikrishnan R, et al. Identification of appropriate biochemical parameters and cut points to detect Maturity Onset Diabetes of Young (MODY) in Asian Indians in a clinic setting. Sci Rep. 2023;13:11408.
  42. Mohan V, Rani CS, Amutha A, Sankari GU, Jebarani S, Ranjit U, et al. IDF2022-0732 Comparison of clinical and biochemical profile of childhood/adolescent-onset and adult-onset type 1 diabetes in India. Diabetes Res Clin Pract. 2023;197.
  43. Mohan V, Uma Sankari G, Amutha A, Anjana RM, Jeba Rani S, Unnikrishnan R, et al. Clinical and biochemical profile of childhood–adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians. Acta Diabetol. 2023;60:579–86.
  44. Deepa M, Elangovan N, Venkatesan U, Das HK, Jampa L, Adhikari P, Joshi PP, Budnah RO, Suokhrie V, John M, Tobgay KJ, Subashini R, Pradeepa R, Anjana RM, Mohan V, Kaur T, Dhaliwal RS, for the ICMR-INDIAB Collaborative Study Group. Evaluation of Madras Diabetes Research Foundation-Indian Diabetes Risk Score in detecting undiagnosed diabetes in the Indian population: Results from the Indian Council of Medical Research-INdia DIABetes population-based study (INDIAB-15) . Indian Journal of Medical Research 2023;157: 239-249
  45. PramodKumar TA, Sivaprasad S, Venkatesan U, Mohan V, Anjana RM, Unnikrishnan R, et al. Role of cystatin C in the detection of sight-threatening diabetic retinopathy in Asian Indians with type 2 diabetes. J Diabetes Complications. 2023;37:108545.
  46. Pradeepa R, Shreya L, Anjana RM, Jebarani S, Venkatesan U, Kamal Raj N, et al. Sex-based differences in clinical profile and complications among individuals with Type 2 diabetes seen at a private tertiary diabetes care centre in India. In: Healthcare. MDPI; 2023. p. 1634.
  47. Lakshmi N, Pradeepa R, Anjana RM, Rakesh H, Subashini R, Venkatesan U, Deepa M, Vigasini N, Siddiqui MK, Pearson ER, Palmer CNA, Mohan V. Secular trends in the prevalence of diabetes and prediabetes among the rural population of South India. Int J Diabetes Dev Ctries 2023;43: 883–891
  48. Balasundaram BS, Mohan AR, Subramani P, Ulagamathesan V, Tandon N, Sridhar GR, et al. The Impact of a Collaborative Care Model on Health Trajectories among Patients with Co–Morbid Depression and Diabetes: The INDEPENDENT Study. Indian J Endocrinol Metab. 2023;27:410–20.
  49. Venkatesan U, Amutha A, Anjana RM, Unnikrishnan R, Mappillairajan B, Mohan V. Clinical and biochemical features used to classify type-1 and type-2 diabetes: A scoping review. J Diabetol. 2024;15(2):152–63.
  50. Rajalakshmi R, Mohammed R, Vengatesan K, PramodKumar TA, Venkatesan U, Usha M, et al. Wide-field imaging with smartphone based fundus camera: grading of severity of diabetic retinopathy and locating peripheral lesions in diabetic retinopathy. Eye. 2024;38:1471–6.
  51. Kalra S, Anjana RM, Verma M, Pradeepa R, Sharma N, Deepa M, et al. Urban–rural differences in the prevalence of diabetes among adults in Haryana, India: the ICMR-INDIAB study (ICMR-INDIAB-18). Diabetes Ther. 2024;15:1597–613.
  52. Venkatesan U, Amutha A, Jones AG, Shields BM, Anjana RM, Unnikrishnan R, et al. Performance of European prediction models for classification of type 1 and type 2 diabetes in Indians. Diabetes Metab Syndr Clin Res Rev. 2024;18(4):103007.
  53. Hemavathy S, Deepa M, Uma R, Gowri R, Pradeepa R, Hannah W, Shivashri C, Subashini R, Mohaneswari D, Ghebremichael-Weldeselassie Y, Saravanan P, Mohan V, Anjana RM. Prevalence of depression and anxiety among pregnant women with gestational diabetes mellitus in South Asia. Primary Care Diabetes. Prim Care Diabetes 2025:19:322-328.
  54. Mohan Deepa , Rajendra Pradeepa , Ulagamadesan Venkatesan , Prabha Adhikari , Hiranya Kumar Das, Kalpana Dash, Jatinder Kumar Mokta , Somorjit Ningomban , Rosang Luaia , Richard O. Budnah , Anil Bhansali , Lobsang Jampa, Vizolie Suokhrie,Sunil M. Jain, Prashant P. Joshi , Shashank Joshi, Anil J. Purty, Karma Jigme Tobgay, Taranga Reang, Sri Venkata Madhu, Elangovan Nirmal, Radhakrishnan Subashini, Sudha Vasudevan, Arumugam Muruganathan, Krishna G. Seshadri, Ranjit Unnikrishnan, Ashok Kumar Das, Tanvir Kaur, Rupinder Singh Dhaliwal, Viswanathan Mohan, Ranjit Mohan Anjana, ICMR-INDIAB Collaborative Study Group. High prevalence of metabolic obesity in India: The ICMR-INDIAB national study (ICMR-INDIAB-23). Indian J Med Res. 2025; 161:461-472. 
  55. Thirumoorthy C, Rekha RP, Deepa M, Ram U, Shalu D, Venkatesan U, et al. Association of early pregnancy telomere length and mitochondrial copy number with gestational diabetes mellitus and depressive symptoms. Psychoneuroendocrinology. 2025;176:107431.
  56. Aswath Krishna S, Venkatesan U, Amutha A, Jebarani S, Sengottuvelu G, Unnikrishnan R, et al. Cardiovascular disease risk prediction and profiling among Asian Indians with young-onset type 1 and type 2 diabetes. Diabet Med. 2025;e70020.
  57. Reji S, Sankaraeswaran M, Ulagamathesan V, Wesley H, Ramesh G, Srinivasan S, et al. Cohort prevalence of young-onset type 2 diabetes in South Asia: A systematic review. Diabetes Res Clin Pract. 2025;112013.
  58. Thirumoorthy C, Sharma KK, Deepa M, Yogaprabhu S, Sneha J, Rekha RP, et al. Epigenome-wide association study identifies a specific panel of DNA methylation signatures for antenatal and postpartum depressive symptoms. J Affect Disord. 2025;383:195–206.
  59. Venkatesan U, Amutha A, Anjana RM, Unnikrishnan R, Mappillairaju B, Mohan V. Evaluation of Logistic Regression and Advanced Machine Learning Algorithms to Differentiate between Type 1 and Type 2 Diabetes in India. J Diabetol. 2025;16:231–9.
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