|
|
LETTER TO THE EDITOR |
|
Year : 2018 | Volume
: 66
| Issue : 11 | Page : 1652-1653 |
|
World diabetes day 2018: Battling the Emerging Epidemic of Diabetic Retinopathy
Suresh K Pandey, Vidushi Sharma
SuVi Eye Institute & Lasik Laser Center, Kota, Rajasthan, India
Date of Web Publication | 25-Oct-2018 |
Correspondence Address: Dr. Suresh K Pandey Director, SuVi Eye Institute and Lasik Laser Center, C 13 Talwandi, SuVi Eye Hospital Road, Kota, Rajasthan India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/ijo.IJO_1681_18
How to cite this article: Pandey SK, Sharma V. World diabetes day 2018: Battling the Emerging Epidemic of Diabetic Retinopathy. Indian J Ophthalmol 2018;66:1652-3 |
Sir,
With the theme of “Family and Diabetes” for 2018 and 2019, we are edging closer towards the World Diabetes Day, scheduled to be observed on November 14, 2018. An official United Nations Day since 2006, World Diabetes Day organizes a worldwide campaign, aiming to reach out to over 1 billion people in more than 160 countries. The objective of the global campaign is to draw international attention to the paramount issues related to the diabetic world.[1] This year, a two-year timeframe has been chosen to ensure the best possible planning, development, promotion, and participation to increase public awareness about emerging epidemic of diabetes.
The international diabetic federation (IDF) is expected to develop materials and actions that would contribute to raising awareness pertinent to the impact of diabetes on the family and associated network of the affected. Moreover, this two-year timeframe endeavors to promote the role of the family in caring, preventing and educating to fight against diabetes and associated systemic complications.
India is deemed as the world's capital of diabetes. The diabetic population in the country is close to hitting the alarming mark of 69.9 million by 2025 and 80 million by 2030. This denotes that the developing country is expected to witness an increase of 266%. The statistics recently accumulated showcase that culture of diabetes is more prevalent in the urban areas as 28% of the population living in cities are affected, whereas 5% of the rural population are positive with diabetes mellitus.
Diabetes has become the fifth leading cause of blindness across the globe. Diabetic retinopathy is one of the major reasons for visual impairment and blindness among the diabetic patients across the globe. The overall population affected by this diabetes-related retinal disease is reported to be 382 million as per the statistics of 2013, and it is expected to cross the number of 592 million by 2025.
The WHO recognizes diabetic retinopathy as a major eye disease that requires urgent attention from professionals and governments. However, according to experts, India has about 12,000 ophthalmologists (approximately 3500 trained retina specialists) against 60 million diabetic patients facing diabetic eye disease. The reason why diabetes is escalating at such a high pace is the fact that one-third of the affected population is not even aware of the fact that they have a chronic condition. This ultimately keeps them from getting timely medical attention. As a result, they develop severe diabetic complications. With such a huge population under the influence of this malicious disease, the systemic complications are bound to occur, in particular diabetic eye disease, diabetic nephropathy, and diabetic foot, etc.
Diabetic retinopathy is one such complication that is affecting nearly 18% of the diabetic population in India. Considering the fact that only a handful of population undergoes regular eye checkups and dilated retinal examination, a majority of the cases remain unaddressed and, hence, this results in worsening of the condition. Diabetic retinopathy is getting more common among the diabetic population in India because there are limited centers (equipped with retinal lasers and vitrectomy machines) as well as limited ophthalmologists (retina specialists) in the country who are trained to diagnose and treat diabetic retinopathy.
A major reason behind this prevalence is the lack of awareness among the patients who fail to achieve timely diagnosis and medical attention. As a result, they develop unnecessary blindness. A diabetic patient is 25 times more vulnerable towards the possibility of getting blind as compared to a healthy individual.
Published epidemiological studies and clinical trials have shown that optimal control of blood glucose level, blood pressure and blood lipids, and hemoglobin can reduce the risk of developing diabetic retinopathy and slow its progression. Timely treatment with retinal laser photocoagulation and increasingly, the appropriate use of intraocular administration of anti-vascular endothelial growth factor (Anti-VeGF) can prevent visual loss in vision-threatening diabetic retinopathy, particularly diabetic macular edema (DME). Since visual loss may not be present in the earlier stages of diabetic retinopathy, regular screening of patients with diabetes is essential to enable early intervention.[2-4]
For the patients of diabetes, it is important to undergo biannual eye (and dilated fundus) examinations and treatment (when necessary) as all eye care organizations across the globe emphasize this. India is suffering tremendously from diabetic retinopathy because of the lack of this approach. With the lack of trained retinal specialists in India and the unaware diabetic population, lack of emphasis by treating physician, the number of affected cases is increasing every day. Another root cause of the prevalence of the disease is that a huge portion of the population is affected that is dispersed across the country, making it almost impossible for the trained professionals to address.[5],[6],[7] Communication between treating physicians (diabetologist) and ophthalmologists (retina specialist) as well as timely referral can play a pivotal role in patient care, as it serves as a mechanism for providers to educate one another about patients' disease manifestations, adherence to therapy, and treatment plan of diabetic retinopathy.
To ensure that an equal program of screening for diabetic retinopathy is commenced, it is critical to embrace more efficient methods that reach out to various geographical locations. Accessing the rural population is a big challenge for eye care professionals. Telemedicine is one of the most convenient methods that can be utilized to promulgate awareness as well as diagnosis of diseases such as diabetic retinopathy. This modernized technique is highly beneficial in ensuring timely and efficient screening of retinal diseases, especially when the number of trained professionals is low and the affected population is alarmingly high and widely dispersed.
Societies such as All India Ophthalmologist Society, Academic and Research Committee (AIOS and ARC), vitreo-retinal society of India (VRSI) together with state ophthalmic societies, diabetic association, diabetes awareness interest group and other similar groups and associations play an important role in bringing together the trained and untrained professionals to a mutual platform where they can share their learned experiences, knowledge, and skills. These societies work on a national front, which brings together ophthalmologists (and physicians) from all parts of India and formulate guidelines to address emerging epidemic of diabetic retinopathy. A short term training of diabetic retinopathy diagnosis and management) done at tertiary care ophthalmic center (such as Aravind Eye Care System, Madurai, India) can also be very helpful to train ophthalmologists as well as optometrists, and ophthalmic assistants to battle against the emerging epidemic of diabetic retinopathy.
While selected tertiary care government institutes in India, (e.g. Dr. R P. Center, AIIMS, New Delhi and Advance Eye Center, PGIMER, Chandigarh) have access to all the recent modalities to manage routine and complex cases of diabetic retinopathy, unfortunately, most of the state run government hospitals do not have adequate facilities for managing cases of diabetic retinopathy. Most health expenditure in India is out of pocket and therefore patients find it difficult to afford the repeated visits to Retina specialists, repeated investigations, lasers and intravitreal anti-VeGF injections. Besides, most patients in India are from poor socio-economic status and when informed that all this treatment and attendant expenditure is unlikely to result in any significant gain in vision, many of them opt out of treatment due to more pressing financial needs in the family. Ophthalmic societies, retinal specialists and ophthalmic industry need to work together to come with innovative methods to decrease the cost of treatment for diabetic retinopathy cases. Government should also make efforts to provide retinal treatment at state run facilities as well, at least in all medical Colleges. The availability of Retina specialists, diagnostic modalities and retinal lasers in Medical Colleges will go a long way in ensuring that optimum treatment is provided to these patients and they do not turn needlessly blind.
The telemedicine screening program can be easily and fruitfully supported by the ophthalmic societies, as they have a vast number of professional members, who can come together to combat against the enormous challenge of diabetic retinopathy. Smart phone can also be used for early detection of diabetic retinopathy. An example includes the Fundus on Phone (FOP) device being developed by Remidio Innovative Solutions in Bangalore. This device is able to 'piggyback' onto a regular smartphone and take high resolution images of the retina. The fundus images can be taken by local health workers in the field, before being sent electronically to ophthalmologists many thousands of miles away to look for early warning signs.
This World Diabetes Day, the individual pledge should be made to endeavor to spread awareness among diabetic population pertinent to the complications of diabetes. Use of artificial intelligence and other innovation are in the progress to facilitate early diagnosis and early intervention to combat vision loss due to diabetes. In next few years, artificial intelligence will greatly ease the pressure in healthcare, especially in India and other countries with large populations, where the resources are insufficient for the screening of diabetic retinopathy due to the large number of patients with diabetes. [8,9] Because of its low operation cost, artificial intelligence can be employed in early screening to reduce the rate of missed diagnoses of diabetic retinopathy in primary hospitals. Use of social media, news papers, awareness lectures by ophthalmologists, physicians, ophthalmic assistants, health care workers can be one such example to share awareness videos and information about diabetes and its associated complications.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References | |  |
1. | |
2. | Federation ID, Atlas ID. International Diabetes Federation. IDF diabetes atlas, 6 th ed. Brussels, Belgium: International Diabetes Federation; 2013. |
3. | Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: Estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-53. |
4. | Sridhar GR, Putcha V, Lakshmi G. Time trends in the prevalence of diabetes mellitus: Ten year analysis from southern India (1994-2004) on 19,072 subjects with diabetes. J Assoc Physicians India. 2010;58:290-4. |
5. | Dandona R, Dandona L, John RK, McCarty CA, Rao GN. Awareness of eye diseases in an urban population in southern India. Bull World Health Organ 2001;79:96. |
6. | Gadkari S. Diabetic retinopathy screening: Telemedicine, the way to go! Indian J Ophthalmol 2018;66:187-8. |
7. | Gadkari SS, Maskati QB, Nayak BK. Prevalence of diabetic retinopathy in India: The all India ophthalmological society diabetic retinopathy eye screening study 2014. Indian J Ophthalmol 2016;64:38. |
8. | Rajalakshmi R, Subashini R, Anjana RM, Mohan V. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence. Eye (Lond) 2018;32:1138-44. |
9. | Sangeethaa SN, Uma Maheswari P. An Intelligent Model for Blood Vessel Segmentation in Diagnosing DR Using CNN. J Med Syst 2018;15;42:175. |
This article has been cited by | 1 |
Gender differential in awareness and risk factors of diabetes among diabetes patients in India |
|
| Shubham Ranjan, Ramna Thakur | | Journal of Public Health. 2023; | | [Pubmed] | [DOI] | | 2 |
COVID-19 Associated Mucormycosis |
|
| Sana Tazeem, A. Nagaraju, Hazeera Begum, Joshi Anto Tommi, L. Sudarshan Reddy, M. Vijay Kumar | | Indian Journal of Otolaryngology and Head & Neck Surgery. 2023; | | [Pubmed] | [DOI] | | 3 |
The Economic Cost of Rising Non-communicable Diseases in India: A Systematic Literature Review of Methods and Estimates |
|
| Varsha Shukla, Rahul Arora | | Applied Health Economics and Health Policy. 2023; | | [Pubmed] | [DOI] | | 4 |
Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review |
|
| K.C. Pavithra, Preetham Kumar, M. Geetha, Sulatha V. Bhandary | | Biocybernetics and Biomedical Engineering. 2023; | | [Pubmed] | [DOI] | | 5 |
Diabetic Retinopathy Identification Using Parallel Convolutional Neural Network Based Feature Extractor and ELM Classifier |
|
| Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni, Md. Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski | | Expert Systems with Applications. 2023; : 119557 | | [Pubmed] | [DOI] | | 6 |
A clinicopathological study on management of diabetic foot ulcer in tertiary care centre |
|
| Jude Rodrigues, Reshamarani Salelkar, Frazer C.S. Rodrigues | | The Foot. 2023; 54: 101971 | | [Pubmed] | [DOI] | | 7 |
Deep learning-enhanced diabetic retinopathy image classification |
|
| Ghadah Alwakid, Walaa Gouda, Mamoona Humayun, Noor Zaman Jhanjhi | | DIGITAL HEALTH. 2023; 9 | | [Pubmed] | [DOI] | | 8 |
A review on the impact of analgesic use during pregnancy on stillbirth |
|
| Girish B S, Joel M Johns, Meghana C S, Rakshitha H R, Vineela Nekkanti | | Indian Journal of Obstetrics and Gynecology Research. 2023; 10(1): 1 | | [Pubmed] | [DOI] | | 9 |
Diabot: Development of a Diabetic Foot Pressure Tracking Device |
|
| Shubham Gupta, Rajan Jayaraman, Sarabjeet Singh Sidhu, Ayush Malviya, Subhodip Chatterjee, Komal Chhikara, Gurpreet Singh, Arnab Chanda | | J. 2023; 6(1): 32 | | [Pubmed] | [DOI] | | 10 |
Capnography as a tool for triaging and diagnosis of diabetic ketoacidosis in the emergency department: A prospective observational study |
|
| Suhrith Bhattaram, VarshaSambhaji Shinde, PrincyPanthoi Khumujam, AnjeethPuthoor Anilkumar, DhruvaKumar Reddy | | Turkish Journal of Emergency Medicine. 2023; 23(3): 169 | | [Pubmed] | [DOI] | | 11 |
India’s Opportunity to Address Human Resource Challenges in Healthcare |
|
| Sangeeta G Saxena, Thomas Godfrey | | Cureus. 2023; | | [Pubmed] | [DOI] | | 12 |
Assessment of Bone Mineral Density in Type 2 Diabetes: A Cone Beam Computed Tomography (CBCT) Study |
|
| Chinmayee Dahihandekar, Sweta G Pisulkar, Seema Sathe, Surekha Godbole, Akansha V Bansod, Hetal Purohit | | Cureus. 2022; | | [Pubmed] | [DOI] | | 13 |
Association of Glycosylated Haemoglobin (HbA1c) Level With Left Ventricular Diastolic Dysfunction in Patients With Type 2 Diabetes |
|
| Rishi T Guria, Manoj K Prasad, Brajesh Mishra, Sujeet Marandi, Amit Kumar, Ajit Dungdung | | Cureus. 2022; | | [Pubmed] | [DOI] | | 14 |
Continuous glucose monitoring-assisted insulin dose titration in the Indian outpatient setting |
|
| SriRamya Ganti, KalyanChakravarthy Gurazada | | International Journal of Diabetes and Technology. 2022; 1(2): 75 | | [Pubmed] | [DOI] | | 15 |
Challenges in managing glaucoma-related morbidity due to lockdown in a developing country |
|
| Saswati Sen, Matuli Das, ManmathKumar Das, Snehalata Dash | | Journal of Family Medicine and Primary Care. 2022; 11(4): 1410 | | [Pubmed] | [DOI] | | 16 |
The Role of Nutraceutical Containing Polyphenols in Diabetes Prevention |
|
| Iva Fernandes, Joana Oliveira, Aryane Pinho, Eugenia Carvalho | | Metabolites. 2022; 12(2): 184 | | [Pubmed] | [DOI] | | 17 |
Assessment of knowledge, attitude and practice of diabetic eye care among non-ophthalmic speciality doctors at a tertiary institute in India |
|
| Sinchana Adyanthaya, Mahesh Babu | | Indian Journal of Clinical and Experimental Ophthalmology. 2022; 7(4): 676 | | [Pubmed] | [DOI] | | 18 |
The Effect of Traditional Home Remedies on Glycemic Control among People with Type 2 Diabetes Mellitus (T2DM) |
|
| Prabhath Matpady, G. Arun Maiya, Niroshkanaa Gaundar, Jeevan K Shetty, Vijayalakshmi S Bhojaraja, Anupama D S, Shashikiran Umakanth | | Journal of Natural Remedies. 2022; : 697 | | [Pubmed] | [DOI] | | 19 |
Quantification of chronic diseases presenting in the Emergency Department and their disposition outcomes: A hospital-based cross-sectional study in north India |
|
| Ashok Kumar Pannu, Atul Saroch, Mohan Kumar, Ashish Behera, Gursimran Singh Nayyar, Navneet Sharma | | Tropical Doctor. 2022; : 0049475521 | | [Pubmed] | [DOI] | | 20 |
Non-mydriatic fundus photography as an alternative to indirect ophthalmoscopy for screening of diabetic retinopathy in community settings: a comparative pilot study in rural and tribal India |
|
| Uday R Gajiwala, Swapnil Pachchigar, Dhaval Patel, Ishwar Mistry, Yash Oza, Dhaval Kundaria, Shamanna B R | | BMJ Open. 2022; 12(4): e058485 | | [Pubmed] | [DOI] | | 21 |
Mineral composition, phytochemical analysis, anti-oxidant and anti-diabetic activities of a polyherbal formulation- an in vitro approach |
|
| Bindu Jacob, Narendhirakannan RT, MSA Muthukumar Nadar, Pariyaporn Itsaranuwat | | Chemical Data Collections. 2022; : 100874 | | [Pubmed] | [DOI] | | 22 |
Unlocking India’s Potential in Managing Endocrine-Disrupting Chemicals (EDCs): Importance, Challenges, and Opportunities |
|
| Brij Mohan Sharma, Martin Scheringer, Paromita Chakraborty, Girija K. Bharat, Eirik Hovland Steindal, Leonardo Trasande, Luca Nizzetto | | Exposure and Health. 2022; | | [Pubmed] | [DOI] | | 23 |
COVID-19 associated mucormycosis: evolving technologies for early and rapid diagnosis |
|
| Rachel Samson, Mahesh Dharne | | 3 Biotech. 2022; 12(1) | | [Pubmed] | [DOI] | | 24 |
KADAM topical warm oxygen therapy device for diabetic foot ulcer-a novel approach |
|
| G. Arun Maiya, Megha Nataraj, Gagana K, Manjunatha Hande, Gabriel Sunil Rodrigues, Rajgopal Shenoy, Shiva S. Prasad | | Journal of Diabetes & Metabolic Disorders. 2022; | | [Pubmed] | [DOI] | | 25 |
Daily monitoring of diabetic treatment amongst TB-DM patients under NTEP: Does it improve the treatment outcomes? |
|
| Padmaja Udaykumar, Saurabh Kumar, Chandralekha N, Raveendra H. Reddy, Badarudeen M. N, Sharath Burugina Nagaraja | | Clinical Epidemiology and Global Health. 2022; 17: 101118 | | [Pubmed] | [DOI] | | 26 |
Financial Burden and financing strategies for treating the cardiovascular diseases in India |
|
| Shaziya Allarakha, Jeetendra Yadav, Ashish Kumar Yadav | | Social Sciences & Humanities Open. 2022; 6(1): 100275 | | [Pubmed] | [DOI] | | 27 |
Anti-CXCL10 monoclonal antibody therapy protects against the diabetic retinopathy in the mouse model induced by streptozotocin |
|
| Zhao-Hui Sun, Fang Li, Yun-Fei Li, Min Wang, Ya-Nan Li, Li Li, Hua Yu, Guang-Xian Tang, Rui-Xue Sun | | Tissue and Cell. 2022; : 101745 | | [Pubmed] | [DOI] | | 28 |
Detection of diabetic retinopathy using deep learning methodology |
|
| Gazala Mushtaq, Farheen Siddiqui | | IOP Conference Series: Materials Science and Engineering. 2021; 1070: 012049 | | [Pubmed] | [DOI] | | 29 |
Quality by Design Approach to Formulate Empagliflozin-Loaded Chitosan Nanoparticles: In Vitro, In Vivo and Pharmacokinetic Evaluation of Anti-Diabetic Drugs |
|
| Tahira Khan, Bushra Nabi, Saleha Rehman, Mohd. Akhtar, Javed Ali, Abul Kalam Najmi | | Nano. 2021; 16(13) | | [Pubmed] | [DOI] | | 30 |
Decreased expression of TIPE2 in the eye under high-glucose conditions tested in vivo and in vitro |
|
| Ling-ge Suo, Rui-xi Qin, Yan-yan Cui, Xue-jiao Qin | | International Immunopharmacology. 2021; 95: 107517 | | [Pubmed] | [DOI] | | 31 |
Social factors in understanding illness behaviour of women with Type 2 diabetes mellitus in Jammu, North India |
|
| Swati Sharma, Anindya Jayanta Mishra | | Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2021; 15(4): 102178 | | [Pubmed] | [DOI] | | 32 |
“Correlation of Salivary Cortisol Levels with Anxiety in Type II Diabetes Mellitus Patients before and after Complete Denture Rehabilitation.- An Invivo Study” (Preprint) |
|
| Akansha Bansod, Dr Sweta Kale Pisulkar | | JMIR Research Protocols. 2021; | | [Pubmed] | [DOI] | | 33 |
Evaluation of Antidiabetic Activity of Sargassum tenerrimum in Streptozotocin-Induced Diabetic Mice |
|
| A. Philomena Joy Lindsey, Reya Issac, M. Lakshmi Prabha, R. Emilin Renitta, Angeline Catherine, Antony V. Samrot, S. Abirami, P. Prakash, S. Dhiva | | Journal of Pure and Applied Microbiology. 2021; 15(4): 2462 | | [Pubmed] | [DOI] | | 34 |
Delivering High-Quality, Equitable Care in India: An Ethically-Resilient Framework for Healthcare Innovation After COVID-19 |
|
| Ahmad Ozair, Kaushal Kishor Singh | | Frontiers in Public Health. 2021; 9 | | [Pubmed] | [DOI] | | 35 |
Association of HbA1c levels with diabetic retinopathy |
|
| Chirag Singh, Shashi Prabha Prasad, Sucheta Kaul, Divya Motwani, Ashish Mishra, Vishakh Padmakumar | | Indian Journal of Clinical and Experimental Ophthalmology. 2021; 7(2): 339 | | [Pubmed] | [DOI] | | 36 |
Diabetes Mellitus and Periodontitis: Relevance of the Diabolic Duo in India |
|
| Sumidha Bansal, Sangeeta Dhir, SubhashKumar Wangnoo | | Apollo Medicine. 2020; 17(4): 267 | | [Pubmed] | [DOI] | | 37 |
Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population |
|
| Zarish Noreen, Christopher A. Loffredo, Attya Bhatti, Jyothirmai J. Simhadri, Gail Nunlee-Bland, Thomas Nnanabu, Peter John, Jahangir S. Khan, Somiranjan Ghosh | | International Journal of Environmental Research and Public Health. 2020; 17(16): 5866 | | [Pubmed] | [DOI] | | 38 |
Prevalence of diabetic retinopathy: A tertiary care centre based study |
|
| Rishi Mehta, Sharda Punjabi, Nutan Bedi | | Indian Journal of Clinical and Experimental Ophthalmology. 2020; 6(3): 383 | | [Pubmed] | [DOI] | | 39 |
Classification of Diabetic Retinopathy using Residual Neural Network |
|
| C Priyadharsini, J Jeyapriya, R Jagadeesh Kannan, G Bharadwaja Kumar, Tulasi Prasad Sakriki | | IOP Conference Series: Materials Science and Engineering. 2020; 925(1): 012033 | | [Pubmed] | [DOI] | | 40 |
Distribution of glycated haemoglobin and its determinants in Indian young adults |
|
| Raghuram Nagarathna, Navneet Kaur, Akshay Anand, Kanupriya Sharma, Rima Dada, Palukuru Sridhar, Purnendu Sharma, Amit Kumar Singh, Suchitra Patil, Hongasandra R. Nagendra | | Diabetes Research and Clinical Practice. 2020; 159: 107982 | | [Pubmed] | [DOI] | | 41 |
Distribution of peripheral lesions identified by mydriatic ultra-wide field fundus imaging in diabetic retinopathy |
|
| Aditya Verma, Ahmed Roshdy Alagorie, Kim Ramasamy, Jano van Hemert, NK Yadav, Rajeev R Pappuru, Adnan Tufail, Muneesawar Gupta Nittala, SriniVas R. Sadda, Rajiv Raman | | Graefe's Archive for Clinical and Experimental Ophthalmology. 2020; 258(4): 725 | | [Pubmed] | [DOI] | | 42 |
Teneligliptin Real-World Effectiveness Assessment in Patients with Type 2 Diabetes Mellitus in India: A Retrospective Analysis (TREAT-INDIA 2) |
|
| Sujoy Ghosh, Mangesh Tiwaskar, Rajiv Chawla, Shalini Jaggi, Arthur Asirvatham, Vijay Panikar | | Diabetes Therapy. 2020; 11(10): 2257 | | [Pubmed] | [DOI] | | 43 |
Using Twitter for diabetes community analysis |
|
| Krunal Dhiraj Patel, Kazi Zainab, Andrew Heppner, Gautam Srivastava, Vijay Mago | | Network Modeling Analysis in Health Informatics and Bioinformatics. 2020; 9(1) | | [Pubmed] | [DOI] | | 44 |
Therapeutic application of Carica papaya leaf extract in the management of human diseases |
|
| Surya P. Singh, Sanjay Kumar, Sivapar V. Mathan, Munendra Singh Tomar, Rishi Kant Singh, Praveen Kumar Verma, Amit Kumar, Sandeep Kumar, Rana P. Singh, Arbind Acharya | | DARU Journal of Pharmaceutical Sciences. 2020; 28(2): 735 | | [Pubmed] | [DOI] | | 45 |
Sociodemographics, clinical profile and health promotion behaviour of people with type 2 diabetes mellitus |
|
| Athira Kalangadan, Shifa Puthiyamadathil, Snana Koottat, Shejila Chillakunnel Hussain Rawther, Assuma Beevi T M | | Clinical Epidemiology and Global Health. 2020; 8(3): 845 | | [Pubmed] | [DOI] | | 46 |
Polypharmacy in diabetes: A boon or a bane |
|
| Geetika Pahuja, Prashant Kumar, Shivani Ghildiyal, Tanuja Nesari | | Indian Journal of Health Sciences and Biomedical Research (KLEU). 2020; 13(1): 11 | | [Pubmed] | [DOI] | | 47 |
Evaluation of retrobulbar circulation in type 2 diabetic patients using color Doppler imaging |
|
| K Divya, Vikrant Kanagaraju, B Devanand, C Jeevamala, A Raghuram, D Sundar | | Indian Journal of Ophthalmology. 2020; 68(6): 1108 | | [Pubmed] | [DOI] | |
|
 |
 |
|