Deepa, MohanElangovan, NirmalVenkatesan, UlagamathesanDas, Hiranya KumarJampa, LobsangAdhikari, PrabhaJoshi, Prashant P.Budnah, Richard O.Suokhrie, VizolieJohn, MaryTobgay, Karma JigmeSubashini, RadhakrishnanPradeepa, RajendraAnjana, Ranjit MohanMohan, ViswanathanKaur, TanvirDhaliwal, Rupinder Singh2023-08-192023-08-192023-04Deepa Mohan, Elangovan Nirmal, Venkatesan Ulagamathesan, Das Hiranya Kumar, Jampa Lobsang, Adhikari Prabha, Joshi Prashant P., Budnah Richard O., Suokhrie Vizolie, John Mary, Tobgay Karma Jigme, Subashini Radhakrishnan, Pradeepa Rajendra, Anjana Ranjit Mohan, Mohan Viswanathan, Kaur Tanvir, Dhaliwal Rupinder Singh. 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 Apr; 157(4): 239-2490971-5916http://imsear.searo.who.int/handle/123456789/223529Background & objectives: Screening of individuals for early detection and identification of undiagnosed diabetes can help in reducing the burden of diabetic complications. This study aimed to evaluate the performance of Madras Diabetes Research Foundation (MDRF)-Indian Diabetes Risk Score (IDRS) to screen for undiagnosed type 2 diabetes in a large representative population in India. Methods: Data were acquired from the Indian Council of Medical Research–INdia DIABetes (ICMR–INDIAB) study, a large national survey that included both urban and rural populations from 30 states/union territories in India. Stratified multistage design was followed to obtain a sample of 113,043 individuals (94.2% response rate). MDRF-IDRS used four simple parameters, viz. age, waist circumference, family history of diabetes and physical activity to detect undiagnosed diabetes. Receiver operating characteristic (ROC) with area under the curve (AUC) was used to assess the performance of MDRF-IDRS. Results: We identified that 32.4, 52.7 and 14.9 per cent of the general population were under high-, moderate- and low-risk category of diabetes. Among the newly diagnosed individuals with diabetes [diagnosed by oral glucose tolerance test (OGTT)], 60.2, 35.9 and 3.9 per cent were identified underAsian Indianshigh-risk groupIndian Diabetes Risk Scorescreeningtype 2 diabetesundiagnosed diabetesEvaluation 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)Journal ArticleIndiaDepartments ofEpidemiologyResearch Operations & Diabetes ComplicationsBiostatistics, Madras Diabetes Research FoundationDepartment of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil NaduRegional Medical Research Centre, ICMR NE Region, Dibrugarh, AssamDirectorate of Health Services, Naharlagun, Arunachal PradeshDepartment of Epidemiology, Yenepoya Medical College, Yenepoya University Campus, Deralakatte, KarnatakaDepartment of General Medicine, All India Institute of Medical Sciences, Nagpur, MaharashtraDirectorate of Health Services (MI), Shillong, MeghalayaDirectorate of Health & Family Welfare, Government of Nagaland, Kohima, NagalandDeparment of Internal Medicine, Christian Medical College & Hospital, Ludhiana, PunjabDepartment of Health Care, Human Services & Family Welfare, Government of Sikkim, Gangtok, Sikk