Clinico-Epidemiological Profile of Type II Diabetes Mellitus in India A Multicentric Institutional Based Survey
Kalra, P.; Mohan, G.; Tiewsoh, I.; K.R, R.; M, R. K.; N. Kumar, S.; Ghosh, S.; Dharmalingam, M.; Bhattacharya, P. K.; R, A.; S, C.; Pandit, K.; Lyngdoh, M.; Subram ani, P.; Mukhopadhyay, P.; Thaman, R. G.; Chandey, M.; B. S, R.; Holigi, S.; Jain, S.; R, S.; Srinivas J, V.; Sreejith, V.; M.D, J.; Rahman, S.; Elizabeth, R. M.; Sekhar, T.; P R, S.; Vempadapu, M.; Sharma, A.; Singh, R.; Odedra, K.
Show abstract
BackgroundThe epidemic of diabetes mellitus is one of the leading causes of mortality globally. Therefore, the goal of the registry is to create a database on individuals with diabetes mellitus that may be utilized to provide data on the clinico-epidemiological profile of Diabetes Mellitus in the real world. MethodsData for this registry is captured at seven sites across India recognized by the Biotechnology Industry Research Assistance Council (BIRAC). This observational multi-centric study registered around 25077 Diabetic patients over three years (December 2023). ResultsOut of 25077 patients, 12793 (51%) were male and 12284 (49%) females. There were 11443 (46%) rural patients and 13575 (54%) urban patients. Most patients registered were over 50 years old (74.05{+/-}2.42). Diabetes was seen as a burden for 46% of individuals and their families. Less than 40% of patients exercised. Over half of the patients had a family history of diabetes. This explains the exponential rise of diabetes mellitus over generations and the significance of preventing it. ConclusionThis registry revealed the impact of the clinico-epidemiological aspects of Diabetes Mellitus on a larger number of samples. Future healthcare planners, researchers, and government officials will benefit from this diabetes registry in developing primary and secondary preventive initiatives that might minimize the rising healthcare burden of diabetes.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Determinants of glycemic control among persons living with type 2 diabetes mellitus attending a district hospital in Ghana 98%
- Predictors of glycemic control, quality of life and diabetes self-management of patients with diabetes mellitus at a tertiary hospital in Ghana 98%
- Association of METS-IR Index with Type 2 Diabetes: A Cross-sectional Analysis of National Health and Nutrition Examination Survey Data from 2009 to 2018 97%
Similar papers in this journal
- Time In Range, as measured by continuous glucose monitor, as a predictor of microvascular complications in type 2 diabetes– A systemic review 97%
- Ethnic differences in the manifestation of early-onset type 2 diabetes 93%
- Exploring support needs of people living with diabetes during the coronavirus COVID-19 pandemic: insights from a UK survey 93%
Similar papers in this journal
- Prevalence of, and risk factors for, diabetes and prediabetes in Bangladesh: Evidence from the national survey using a multilevel Poisson regression model with a robust variance 97%
- Unusual patterns of risk for diabetic retinopathy in the Mumbai slums: The Aditya Jyot Diabetic Retinopathy in Urban Mumbai Slums Study (AJ-DRUMSS) Report 3 96%
- Regional Prevalence of Hypertension Among People Diagnosed with Diabetes in Africa, A Systematic Review and Meta-analysis 95%
Similar papers in this journal
- Risk Factors for Non-Communicable Diseases among Bangladeshi Adults: An Application of Generalized Linear Mixed Model on Multilevel Demographic and Health Survey Data 97%
- Cohort profile: The Nanjing Diabetes Cohort database – a population-based surveillance cohort 96%
- Prevalence Of Abdominal Obesity And Its Association With Cardiovascular Risk Among The Adult Population In Burkina Faso 95%
Similar papers in this journal
- Safety and efficacy of long-acting insulins (degludec and glargine) among type 2 diabetic Asian Population: A Systematic Review and Meta-Analysis 95%
- Impact of Losartan on Portal hypertension and Liver Cirrhosis: A Systematic Review 94%
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.