Lifestyle Intervention for Diabetes Remission: A Paradigm Shift in Diabetes Care and Management
Curr Diabetes Rev. 2023 Dec 13. doi: 10.2174/0115733998272795231109034141. Online ahead of print.ABSTRACTRemission is often considered the ultimate goal in Type 2 Diabetes (T2D) management and care. Although metabolic surgery is the conventional choice to achieve remission, substantial evidence suggests the possibility of T2D remission through lifestyle interventions. In this context, the current perspective explores recent scientific advancements in lifestyle intervention for diabetes remission and also emphasises its clinical applicability as a pragmatic approach to diabetes management. The perspective further provides a...
Source: Current Diabetes Reviews - December 14, 2023 Category: Endocrinology Authors: Pramod Tripathi Thejas R Kathrikolly Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Diabetic Retinopathy Diagnosis Based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study
CONCLUSION: The method for diagnosing DR presented in this article has shown its high accuracy, which is consistent with the existing world analogues, however, this method should prove its clinical efficiency in large multicenter multinational controlled randomized studies, in which the reference diagnostic method would be unified and less subjective than an ophthalmologist.PMID:38031785 | DOI:10.2174/0115733998268034231101091236 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 30, 2023 Category: Endocrinology Authors: Daria Gognieva Madina Durzhinskaya Irina Vorobyeva Petr Chomakhidze Alexander Suvorov Natalia Kuznetsova Alina Bektimirova Ali Ali Ali Al-Dwa Baraah Magomed Abdullaev Yusef Yusef Vladislav Pavlov Maria Budzinskaya Dmitry Sychev Larisa Moshetova Philipp Ko Source Type: research
Effectiveness of Probiotic Therapy in the Management of Periodontal Disease in Diabetic Patients: A Scoping Review
CONCLUSION: Probiotics may provide safe additional benefits to periodontal parameters of patients with type 2 diabetes and periodontal disease.PMID:38018184 | DOI:10.2174/0115733998271193231108054254 (Source: Current Diabetes Reviews)
Source: Current Diabetes Reviews - November 29, 2023 Category: Endocrinology Authors: Luanny de Brito Avelino Katryne Targino Rodrigues Nat ália Teixeira da Silva Cruz Agnes Andrade Martins Ana Rafaela Luz de Aquino Martins Source Type: research
Lipids: A Major Culprit in Diabetic Nephropathy
Curr Diabetes Rev. 2023 Nov 24. doi: 10.2174/0115733998259273231101052549. Online ahead of print.ABSTRACTThe pathophysiology of diabetic nephropathy (DN) is too complex and involves a variety of pathways and mediators. Hyperglycaemia and dyslipidemia are identified as major risk factors for diabetic nephropathy. Various studies revealed the fact that dyslipidemia is a major contributor to the process of diabetic nephropathy. Dyslipidemia refers to abnormal lipid levels. Lipids like LDL, free fatty acids, abnormal lipoproteins, ceramides, etc., are unsafe for kidneys. They target proximal tubular epithelial cells, podocytes...
Source: Current Diabetes Reviews - November 29, 2023 Category: Endocrinology Authors: Ankita Beniwal Jasmine Chaudhary Jain Akash Jain Source Type: research
Adaptive Autonomic and Neuroplastic Control in Diabetic Neuropathy: A Narrative Review
Curr Diabetes Rev. 2023 Nov 24. doi: 10.2174/0115733998253213231031050044. Online ahead of print.ABSTRACTBACKGROUND: Type 2 diabetes mellitus (T2DM) is a worldwide socioeconomic burden, and is accompanied by a variety of metabolic disorders, as well as nerve dysfunction referred to as diabetic neuropathy (DN). Despite a tremendous body of research, the pathogenesis of DN remains largely elusive. Currently, two schools of thought exist regarding the pathogenesis of diabetic neuropathy: a) mitochondrial-induced toxicity, and b) microvascular damage. Both mechanisms signify DN as an intractable disease and, as a consequence, ...
Source: Current Diabetes Reviews - November 29, 2023 Category: Endocrinology Authors: Francesca Marsili Corlius Fourie Birkill Paul Potgieter Source Type: research
