R
Ranjit Mohan Anjana
Researcher at Indian Council of Medical Research
Publications - 300
Citations - 30665
Ranjit Mohan Anjana is an academic researcher from Indian Council of Medical Research. The author has contributed to research in topics: Diabetes mellitus & Medicine. The author has an hindex of 46, co-authored 221 publications receiving 21128 citations. Previous affiliations of Ranjit Mohan Anjana include Madras Medical College.
Papers
More filters
Journal ArticleDOI
The Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) study: methodological details.
Ranjit Mohan Anjana,Rajendra Pradeepa,Mohan Deepa,Manjula Datta,Vasudevan Sudha,Ranjit Unnikrishnan,Lalith M Nath,Ashok Kumar Das,Sri Venkata Madhu,P. V. Rao,Deepak Kumar Shukla,Tanvir Kaur,Mohammed K. Ali,Viswanathan Mohan +13 more
TL;DR: The ICMR-INDIAB study is the first of its kind attempting to provide accurate and comprehensive state- and national-level data on diabetes prevalence in India, covering all 28 states and two of the union territories with a total sample size of 124,000 individuals.
Journal ArticleDOI
Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.
Martha Ryan,Ramachandran Rajalakshmi,Vijayaraghavan Prathiba,Ranjit Mohan Anjana,Harish Ranjani,K.M. Venkat Narayan,Timothy W. Olsen,Viswanathan Mohan,Laura Ward,Michael J. Lynn,Andrew Hendrick +10 more
TL;DR: Smartphone and non mydriatic fundus photography are each able to detect DR and sight-threatening disease, however, the nonmydriatic camera is more sensitive at detecting DR than the smartphone.
Journal ArticleDOI
A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.
Muthu Rama Krishnan Mookiah,Stephen Hogg,Tom MacGillivray,Vijayaraghavan Prathiba,Rajendra Pradeepa,Viswanathan Mohan,Ranjit Mohan Anjana,Alex S. F. Doney,Colin N. A. Palmer,Emanuele Trucco +9 more
TL;DR: A review of methods based on machine and deep learning for automatic vessel segmentation and classification for fundus camera images between 2012 and 2020, and an attempt to assess the quantitative merit of DL methods in terms of accuracy improvement compared to other methods.
Journal ArticleDOI
Prevalence and risk factors for diabetic retinopathy in Asian Indians with young onset type 1 and type 2 diabetes.
Ramachandran Rajalakshmi,Anandakumar Amutha,Harish Ranjani,Mohammed K. Ali,Ranjit Unnikrishnan,Ranjit Mohan Anjana,K.M. Venkat Narayan,Viswanathan Mohan +7 more
TL;DR: Over half of the people with young-onset diabetes, regardless of type, have retinopathy within 10-12 years of diabetes duration, emphasizing the need for regular eye screening and aggressive control of glucose and blood pressure to prevent DR.
Journal ArticleDOI
Vitamin B12 deficiency is associated with adverse lipid profile in Europeans and Indians with type 2 diabetes
Antonysunil Adaikalakoteswari,Ramamurthy Jayashri,Nithya Sukumar,Hema Venkataraman,Rajendra Pradeepa,Kuppan Gokulakrishnan,Ranjit Mohan Anjana,Philip G. McTernan,Gyanendra Tripathi,Vinod Patel,Sudhesh Kumar,Sudhesh Kumar,Viswanathan Mohan,Ponnusamy Saravanan,Ponnusamy Saravanan,Ponnusamy Saravanan +15 more
TL;DR: The prevalence of vitamin B12 deficiency is common in type 2 diabetes patients and is associated with adverse lipid parameters, and Type 2 diabetes management guidelines should include the recommendation for regular testing for B12 levels, especially for those on metformin.