For: | Wu L, Fernandez-Loaiza P, Sauma J, Hernandez-Bogantes E, Masis M. Classification of diabetic retinopathy and diabetic macular edema. World J Diabetes 2013; 4(6): 290-294 [PMID: 24379919 DOI: 10.4239/wjd.v4.i6.290] |
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URL: | https://www.wjgnet.com/1948-9358/full/v4/i6/290.htm |
Number | Citing Articles |
1 |
Ahmadou M. Jingi, Aurel T. Tankeu, Narcisse Assene Ateba, Jean Jacques Noubiap. Mechanism of worsening diabetic retinopathy with rapid lowering of blood glucose: the synergistic hypothesis. BMC Endocrine Disorders 2017; 17(1) doi: 10.1186/s12902-017-0213-3
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Mustafa Doğan, Bünyamin Kutluksaman. Macular pigment optical density after panretinal photocoagulation. Clinical and Experimental Optometry 2021; 104(2): 187 doi: 10.1111/cxo.13126
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Usharani Bhimavarapu, Gopi Battineni. Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function. Healthcare 2022; 11(1): 97 doi: 10.3390/healthcare11010097
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Rodolfo Mastropasqua, Rossella D’Aloisio, Luca Di Antonio, Emanuele Erroi, Enrico Borrelli, Federica Evangelista, Giada D’Onofrio, Marta Di Nicola, Giuseppe Di Martino, Lisa Toto. Widefield optical coherence tomography angiography in diabetic retinopathy. Acta Diabetologica 2019; 56(12): 1293 doi: 10.1007/s00592-019-01410-w
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Mohadese Estaji, Bita Hosseini, Saeed Bozorg-Qomi, Babak Ebrahimi. Pathophysiology and diagnosis of diabetic retinopathy: a narrative review. Journal of Investigative Medicine 2023; 71(3): 265 doi: 10.1177/10815589221145040
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Murat Seçkin Ayhan, Laura Kühlewein, Gulnar Aliyeva, Werner Inhoffen, Focke Ziemssen, Philipp Berens. Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection. Medical Image Analysis 2020; 64: 101724 doi: 10.1016/j.media.2020.101724
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Aditya Verma, Chitralekha S. Devishamani, Rekha Priya Kalluri Bharat, Sashwanthi Mohan, Rupak Roy, Rajiv Raman. Digital Eye Care and Teleophthalmology. 2023; : 145 doi: 10.1007/978-3-031-24052-2_11
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Junyeop Lee, Byung Gil Moon, Ah Ran Cho, Young Hee Yoon. Optical Coherence Tomography Angiography of DME and Its Association with Anti-VEGF Treatment Response. Ophthalmology 2016; 123(11): 2368 doi: 10.1016/j.ophtha.2016.07.010
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Ning Dong, Hong Shi, Xin Tang. Plasma homocysteine levels are associated with macular thickness in type 2 diabetes without diabetic macular edema. International Ophthalmology 2018; 38(2): 737 doi: 10.1007/s10792-017-0528-0
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10 |
Bo Zhang, Zhulin Zhou, Bingjie Zhang, Dan Wang. Efficacy and Safety of Various Treatments for Proliferative Diabetic Retinopathy: A Systematic Review and Network Meta-Analysis. Frontiers in Pharmacology 2021; 12 doi: 10.3389/fphar.2021.709501
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11 |
Bhim B. Rai, Mohan K. Shresthra, Raba Thapa, Rohan W. Essex, Govinda Paudyal, Ted Maddess. Pattern and Presentation of Vitreo-Retinal Diseases: An Analysis of Retrospective Data at a Tertiary Eye Care Center in Nepal. Asia-Pacific Journal of Ophthalmology 2019; 8(6): 481 doi: 10.1097/01.APO.0000604400.50700.2d
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12 |
Bugra Karasu, Yusuf Berk Akbas, Aslan Aykut, Ali Riza Cenk Çelebi. Subthreshold Photocoagulation, Laser Endpoint Management Based on Optical
Coherence Tomography Angiography in Cases of Diabetic Macular Edema Refractory to
Anti-VEGF. Klinische Monatsblätter für Augenheilkunde 2024; 241(02): 197 doi: 10.1055/a-1792-3009
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13 |
Sandhya Dharwadkar, Deepa Ram, Swati Ramakrishna, Shubhratha S. Hegde, M Shilpa. Association of Inflammatory Markers and Diabetic Retinopathy. TNOA Journal of Ophthalmic Science and Research 2024; 62(2): 197 doi: 10.4103/tjosr.tjosr_40_24
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14 |
Trine Jul Larsen, Marit Eika Jørgensen, Michael Lynge Pedersen, Henrik Lund-Andersen, Stine Byberg. Incidence and prevalence of diabetic retinopathy in the Greenlandic Inuit: A register-based study. Diabetes Epidemiology and Management 2022; 8: 100108 doi: 10.1016/j.deman.2022.100108
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15 |
Fatemeh Dehghani Firouzabadi, Amirhossein Poopak, Sahar Samimi, Niloofar Deravi, Pooria Nakhaei, Ali Sheikhy, Fatemeh Moosaie, Soghra Rabizadeh, Alipasha Meysamie, Manouchehr Nakhjavani, Alireza Esteghamati. Glycemic profile variability as an independent predictor of diabetic retinopathy in patients with type 2 diabetes: a prospective cohort study. Frontiers in Endocrinology 2024; 15 doi: 10.3389/fendo.2024.1383345
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16 |
Olle G. Holmberg, Niklas D. Köhler, Thiago Martins, Jakob Siedlecki, Tina Herold, Leonie Keidel, Ben Asani, Johannes Schiefelbein, Siegfried Priglinger, Karsten U. Kortuem, Fabian J. Theis. Self-supervised retinal thickness prediction enables deep learning from unlabelled data to boost classification of diabetic retinopathy. Nature Machine Intelligence 2020; 2(11): 719 doi: 10.1038/s42256-020-00247-1
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17 |
M. Aloysius Dhivya, K.N. Sulochana, S.R. Bharathi Devi. High glucose induced inflammation is inhibited by copper chelation via rescuing mitochondrial fusion protein 2 in retinal pigment epithelial cells. Cellular Signalling 2022; 92: 110244 doi: 10.1016/j.cellsig.2022.110244
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18 |
Siddhartha Bose, ArupKumar Bose. Utility of smartphone-based fundus camera device in a social outreach setting. Egyptian Retina Journal 2018; 5(1): 21 doi: 10.4103/erj.erj_5_18
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19 |
Noura M Almutairi, Shoroog Alahmadi, Mona Alharbi, Sarah Gotah, Majed Alharbi. The Association Between HbA1c and Other Biomarkers With the Prevalence and Severity of Diabetic Retinopathy. Cureus 2021; doi: 10.7759/cureus.12520
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20 |
Monika Sethi, Jatin Arora, Vidhu Baggan, Jyoti Verma, Manish Snehi. Next-Generation Cybersecurity. Blockchain Technologies 2024; : 135 doi: 10.1007/978-981-97-1249-6_7
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21 |
Gülizar Demirok, Mehmet Fatih Kocamaz, Yasemin Topalak, Yeşim Altay, Burcu Tabakci, Ahmet Şengün. Changes in the Macular Ganglion Cell Complex Thickness and Central Macular Thickness after Argon Laser Panretinal Photocoagulation. Seminars in Ophthalmology 2017; 32(6): 759 doi: 10.1080/08820538.2016.1177098
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22 |
Fatemeh Moosaie, Reza Mohamadhosseinzadeh Davatgari, Fatemeh Dehghani Firouzabadi, Sadaf Esteghamati, Niloofar Deravi, Alipasha Meysamie, Pegah Khaloo, Manouchehr Nakhjavani, Alireza Esteghamati. Lipoprotein(a) and Apolipoproteins as Predictors for Diabetic Retinopathy and Its Severity in Adults With Type 2 Diabetes: A Case-Cohort Study. Canadian Journal of Diabetes 2020; 44(5): 414 doi: 10.1016/j.jcjd.2020.01.007
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23 |
Jacqueline Chua, Bingyao Tan, Marcus Ang, Monisha E Nongpiur, Anna Cs Tan, Raymond P Najjar, Dan Milea, Leopold Schmetterer. Future clinical applicability of optical coherence tomography angiography. Clinical and Experimental Optometry 2019; 102(3): 260 doi: 10.1111/cxo.12854
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24 |
Oscar Perdomo, Sebastian Otalora, Fabio A. Gonzalez, Fabrice Meriaudeau, Henning Muller. OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using sd-oct volumes. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) 2018; : 1423 doi: 10.1109/ISBI.2018.8363839
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25 |
Chunyan Lei, Keren Zhang, Tiancong Chang, Qibo Ran, Meixia Zhang. Relationship between renal function and prognosis of Chinese proliferative diabetic retinopathy patients undergoing the first vitrectomy: protocol for a prospective cohort study. BMJ Open 2021; 11(12): e052417 doi: 10.1136/bmjopen-2021-052417
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26 |
Sushil Ojha, Pawani Kukreja, Surbhi Verma. Association of intraocular pressure with blood sugar levels in patients of type 2 diabetes mellitus and control group. TNOA Journal of Ophthalmic Science and Research 2022; 60(4): 294 doi: 10.4103/tjosr.tjosr_38_22
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27 |
Wenying Fan, Akihito Uji, Kang Wang, Khalil Ghasemi Falavarjani, Charles C. Wykoff, David M. Brown, Jano Van Hemert, Min Sagong, Srinivas R. Sadda, Michael Ip. SEVERITY OF DIABETIC MACULAR EDEMA CORRELATES WITH RETINAL VASCULAR BED AREA ON ULTRA-WIDE FIELD FLUORESCEIN ANGIOGRAPHY. Retina 2020; 40(6): 1029 doi: 10.1097/IAE.0000000000002579
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28 |
Haitham Y. Al-Nashar, Hany A. Al-Bialy. Correlation between foveal microvasculature and inner retinal layer thickness in type 2 diabetes. Delta Journal of Ophthalmology 2022; 23(1): 50 doi: 10.4103/djo.djo_13_21
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29 |
Usharani Bhimavarapu. Diagnosis and multiclass classification of diabetic retinopathy using enhanced multi thresholding optimization algorithms and improved Naive Bayes classifier. Multimedia Tools and Applications 2024; 83(34): 81325 doi: 10.1007/s11042-024-18659-1
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30 |
Aitor Eguzkiza, Jesús Daniel Trigo, Miguel Martínez-Espronceda, Luis Serrano, José Andonegui. Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy. Journal of Biomedical Informatics 2015; 56: 112 doi: 10.1016/j.jbi.2015.05.017
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31 |
Marc Figueras-Roca, Anna Sala-Puigdollers, Javier Zarranz-Ventura, Carmen Alba-Linero, Socorro Alforja, Cristina Esquinas, Blanca Molins, Alfredo Adán. Anatomic Response to Intravitreal Dexamethasone Implant and Baseline Aqueous Humor Cytokine Levels in Diabetic Macular Edema. Investigative Opthalmology & Visual Science 2019; 60(5): 1336 doi: 10.1167/iovs.18-26215
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32 |
Christy Lyona, Joyce Menezes, Tushar Shinde, Mayura Gavhane, Ragini M. Rohatgi, Satishkumar Chavan. Classification of retinal images in stages of diabetic retinopathy using deep learning. 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) 2020; : 228 doi: 10.1109/ICACCCN51052.2020.9362913
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33 |
Mohammad Bagher Hashemi-Soteh, Ali Ahmadzadeh Amiri, Majid Reza Sheikh Rezaee, Amir Ahmadzadeh Amiri, Soleiman Olfat, Ahmad Ahmadzadeh Amiri. Aldose reductase (AC)n gene polymorphism in Iranian patients with type 2 diabetic microangiopathy; a case–control study. Diabetology International 2021; 12(1): 101 doi: 10.1007/s13340-020-00446-6
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34 |
Muhammad Nadeem Ashraf, Muhammad Hussain, Zulfiqar Habib. Deep Red Lesion Classification for Early Screening of Diabetic Retinopathy. Mathematics 2022; 10(5): 686 doi: 10.3390/math10050686
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35 |
Akanksha Gupta, Sonika Bhatnagar. Vasoregression: A Shared Vascular Pathology Underlying Macrovascular And Microvascular Pathologies?. OMICS: A Journal of Integrative Biology 2015; 19(12): 733 doi: 10.1089/omi.2015.0128
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36 |
Prakhar Srivastava, Niti Khunger, R. K. Duvesh, Shikha Bansal, Prachi Srivastava. Nail-fold capillaroscopy as a rapid non-invasive tool for assessment of microvascular complications in diabetes mellitus: A cross-sectional study. Journal of Onychology and Nail Surgery 2024; 1: 4 doi: 10.25259/JONS_7_2024
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37 |
Reha Erkoc, Mehmet Ali Cikrikcioglu, Emre Aintab, Aybala Erek Toprak, Ulkan Kilic, Ozlem Gok, Ayse Irem Yasin Cetin, Mehmet Zorlu, Muharrem Kiskac, Mustafa Cakirca, Sena Nur Erkal, Hayati Can Isen, Cumali Karatoprak. GAS6intron 8 c.834 + 7G > A gene polymorphism in diabetic nephropathy. Renal Failure 2015; 37(5): 866 doi: 10.3109/0886022X.2015.1034606
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38 |
Sohaib A. Virk, Kim C. Donaghue, Tien Y. Wong, Maria E. Craig. Interventions for Diabetic Retinopathy in Type 1 Diabetes: Systematic Review and Meta-Analysis. American Journal of Ophthalmology 2015; 160(5): 1055 doi: 10.1016/j.ajo.2015.07.024
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39 |
Ravi Sahukari, Jyothi Punabaka, Shanmugam Bhasha, Venkata S. Ganjikunta, Shanmugam K. Ramudu, Sathyavelu R. Kesireddy. Plant Compounds for the Treatment of Diabetes, a Metabolic Disorder: NF-κB as a Therapeutic Target. Current Pharmaceutical Design 2020; 26(39): 4955 doi: 10.2174/1381612826666200730221035
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Elzana Kempen, Mariette Nel, Sherazadh Hatia, Naledi Khanya, Lerato Matsabu, Xolani Nyathela. Diabetic patients’ awareness regarding diabetes mellitus and its ocular complications at the National District Hospital in Bloemfontein, Free State, South Africa. African Vision and Eye Health 2017; 76(1) doi: 10.4102/aveh.v76i1.380
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Sankarananth S, Uma Maheswari G, Arun Kumar B, Nagasuresh M, Arun Kumar R, Karthiga M. Diagnosis of Diabetic Retinopathy Using Hierarchical Feature Learning and Modified CNN with ACAF. 2024 4th International Conference on Sustainable Expert Systems (ICSES) 2024; : 1366 doi: 10.1109/ICSES63445.2024.10763139
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42 |
Wei Zhang, Guiyang Zhao, Weijie Fan, Taihong Zhao. Panretinal photocoagulation after or prior to intravitreal conbercept injection for diabetic macular edema: a retrospective study. BMC Ophthalmology 2021; 21(1) doi: 10.1186/s12886-021-01920-8
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Yatzul Zuhaila Garcia-Rubio, Dulce Milagros Razo Blanco-Hernández, Virgilio Lima-Gómez. Efecto esperado del grosor retiniano después de fotocoagulación focal en edema macular diabético. Cirugía y Cirujanos 2016; 84(5): 356 doi: 10.1016/j.circir.2015.09.011
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45 |
Hamidreza Torabi, Mohammad Sadraei, Khosrow Jadidi, Ali-Agha Alishiri. Choroidal thickness changes following cataract surgery in patients with type 2 diabetes mellitus. Journal of Current Ophthalmology 2019; 31(1): 49 doi: 10.1016/j.joco.2018.07.004
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46 |
Meera F. Iyengar, Luis F. Soto, David Requena, Andrea O. Ruiz-Alejos, Yvonne Huaylinos, Ricardo Velasquez, Antonio Bernabe-Ortiz, Robert H. Gilman. Tear biomarkers and corneal sensitivity as an indicator of neuropathy in type 2 diabetes. Diabetes Research and Clinical Practice 2020; 163: 108143 doi: 10.1016/j.diabres.2020.108143
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Rehana Khan, Abhishek Sharma, Raghul Ravikumar, Avani Parekh, Ramyaa Srinivasan, Ronnie Jacob George, Rajiv Raman. Association Between Gut Microbial Abundance and Sight-Threatening Diabetic Retinopathy. Investigative Opthalmology & Visual Science 2021; 62(7): 19 doi: 10.1167/iovs.62.7.19
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H.S. Hwang, S.Y. Kim, Y.A. Hong, W.K. Cho, Y.K. Chang, S.J. Shin, C.W. Yang, S.Y. Kim, H.E. Yoon. Clinical impact of coexisting retinopathy and vascular calcification on chronic kidney disease progression and cardiovascular events. Nutrition, Metabolism and Cardiovascular Diseases 2016; 26(7): 590 doi: 10.1016/j.numecd.2016.02.005
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Gaurav Kumar, Shraban Chatterjee, Chiranjoy Chattopadhyay. DRISTI: a hybrid deep neural network for diabetic retinopathy diagnosis. Signal, Image and Video Processing 2021; 15(8): 1679 doi: 10.1007/s11760-021-01904-7
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Ricardo Lamy, Jay M. Stewart. Biomarkers in Diabetes. Biomarkers in Disease: Methods, Discoveries and Applications 2022; : 1 doi: 10.1007/978-3-030-81303-1_51-1
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Xiaoyun He, Chunlin Ou, Yanhua Xiao, Qing Han, Hao Li, Suxian Zhou. LncRNAs: key players and novel insights into diabetes mellitus. Oncotarget 2017; 8(41): 71325 doi: 10.18632/oncotarget.19921
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Marc Figueras-Roca, Jessica Matas, Víctor Llorens, Anna Sala-Puigdollers, Manuel Navarro, Javier Zarranz-Ventura, Alfredo Adán, Blanca Molins. Systemic contribution of inflammatory mediators to the severity of diabetic and uveitic macular edema. Graefe's Archive for Clinical and Experimental Ophthalmology 2021; 259(9): 2695 doi: 10.1007/s00417-021-05149-5
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Ambaji S. Jadhav, Pushpa B. Patil, Sunil Biradar. Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning. Evolutionary Intelligence 2021; 14(4): 1431 doi: 10.1007/s12065-020-00400-0
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Filipa Palma, Pedro Camacho. The role of Optical Coherence Tomography Angiography to detect early microvascular changes in Diabetic Retinopathy: a systematic review. Journal of Diabetes & Metabolic Disorders 2021; 20(2): 1957 doi: 10.1007/s40200-021-00886-0
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Bobak Bahrami, Weiyong Shen, Ling Zhu, Ting Zhang, Andrew Chang, Mark C. Gillies. Effects of VEGF inhibitors on human retinal pigment epithelium under high glucose and hypoxia. Clinical & Experimental Ophthalmology 2019; 47(8): 1074 doi: 10.1111/ceo.13579
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Rajya L. Gurung, Liesel M. FitzGerald, Bennet J. McComish, Nitin Verma, Kathryn P. Burdon, Jelizaveta Sokolovska. Identifying Genetic Risk Factors for Diabetic Macular Edema and the Response to Treatment. Journal of Diabetes Research 2020; 2020: 1 doi: 10.1155/2020/5016916
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Asra Momeni Pour, Hadi Seyedarabi, Seyed Hassan Abbasi Jahromi, Alireza Javadzadeh. Automatic Detection and Monitoring of Diabetic Retinopathy Using Efficient Convolutional Neural Networks and Contrast Limited Adaptive Histogram Equalization. IEEE Access 2020; 8: 136668 doi: 10.1109/ACCESS.2020.3005044
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Rosa Dolz-Marco, Rodrigo Abreu-González, Marta Alonso-Plasencia, Roberto Gallego-Pinazo. Treatment decisions in diabetic macular edema based on optical coherence tomography retinal thickness map: LET classification. Graefe's Archive for Clinical and Experimental Ophthalmology 2014; 252(10): 1687 doi: 10.1007/s00417-014-2699-y
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Long Hin Li, Jetty Chung-Yung Lee, Ho Hang Leung, Wai Ching Lam, Zhongjie Fu, Amy Cheuk Yin Lo. Lutein Supplementation for Eye Diseases. Nutrients 2020; 12(6): 1721 doi: 10.3390/nu12061721
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Ogugua Ndubuisi Okonkwo, Toyin Akanbi, Chineze Thelma Agweye. Diabetic Eye Disease - From Therapeutic Pipeline to the Real World. 2022; doi: 10.5772/intechopen.100157
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Jyostna Devi Bodapati, Veeranjaneyulu Naralasetti, Shaik Nagur Shareef, Saqib Hakak, Muhammad Bilal, Praveen Kumar Reddy Maddikunta, Ohyun Jo. Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction. Electronics 2020; 9(6): 914 doi: 10.3390/electronics9060914
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Teresa Tsai, Sandra Kuehn, Nikolaos Tsiampalis, Minh-Khoa Vu, Vinodh Kakkassery, Gesa Stute, H. Burkhard Dick, Stephanie C. Joachim, Demetrios G. Vavvas. Anti-inflammatory cytokine and angiogenic factors levels in vitreous samples of diabetic retinopathy patients. PLOS ONE 2018; 13(3): e0194603 doi: 10.1371/journal.pone.0194603
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Ying Cui, Min Zhang, Liang Zhang, Lixin Zhang, Jian Kuang, Guanrong Zhang, Qingyang Liu, Haike Guo, Qianli Meng. Prevalence and risk factors for diabetic retinopathy in a cross-sectional population-based study from rural southern China: Dongguan Eye Study. BMJ Open 2019; 9(9): e023586 doi: 10.1136/bmjopen-2018-023586
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Fuat Türk, Nuri Alper Metin, Murat Lüy. Feature Selection in the Diabetes Dataset with the Marine Predator Algorithm and Classification using Machine Learning Methods. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 2024; 12(3): 746 doi: 10.29109/gujsc.1396051
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Sang Youl Rhee, Eun Sung Jung, Hye Min Park, Su Jin Jeong, Kiyoung Kim, Suk Chon, Seung-Young Yu, Jeong-Taek Woo, Choong Hwan Lee. Plasma glutamine and glutamic acid are potential biomarkers for predicting diabetic retinopathy. Metabolomics 2018; 14(7) doi: 10.1007/s11306-018-1383-3
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Xiaoyu Deng, Shiqi Wang, Yan Yang, Aizhen Chen, Jinger Lu, Jinkui Hao, Yufei Wu, Qinkang Lu. Reduced macula microvascular densities may be an early indicator for diabetic peripheral neuropathy. Frontiers in Cell and Developmental Biology 2022; 10 doi: 10.3389/fcell.2022.1081285
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S. Sadhana, R. Mallika, Anand Paul, Simon K.S. Cheung, Chiung Ching Ho, Sadia Din. An intelligent technique for detection of diabetic retinopathy using improved alexnet model based convoluitonal neural network. Journal of Intelligent & Fuzzy Systems 2021; 40(4): 7623 doi: 10.3233/JIFS-189582
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Dongning Wang, Kaiwei Fan, Zhanpeng He, Xiao Guo, Xia Gong, Kun Xiong, Daheng Wei, Bingbing Chen, Fanxiao Kong, Mochong Liao, Wei Wang, Wenyong Huang, Hua Liu. The relationship between renal function and diabetic retinopathy in patients with type 2 diabetes: A three-year prospective study. Heliyon 2023; 9(4): e14662 doi: 10.1016/j.heliyon.2023.e14662
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GATAC: Gradient and adaptive threshold integrated active contour for Diabetic Macular Edema segmentation. 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) 2021; : 1 doi: 10.1109/ICECCT52121.2021.9616936
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Alexandros Papadopoulos, Fotis Topouzis, Anastasios Delopoulos. An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus images. Scientific Reports 2021; 11(1) doi: 10.1038/s41598-021-93632-8
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Elisabetta Schiano, Sabrina Vaccaro, Vincenzo Scorcia, Adriano Carnevali, Massimiliano Borselli, Domenico Chisari, Fabrizia Guerra, Fortuna Iannuzzo, Gian Carlo Tenore, Giuseppe Giannaccare, Ettore Novellino. From Vineyard to Vision: Efficacy of Maltodextrinated Grape Pomace Extract (MaGPE) Nutraceutical Formulation in Patients with Diabetic Retinopathy. Nutrients 2024; 16(17): 2850 doi: 10.3390/nu16172850
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Rohit Raina, Neha Chhabra, Shruti Barnwal, Shivani Vasisht, Naveen Kumar Kansal, Ravi Kant. Predictability of Nailfold Capillaroscopic Score in Diagnosing Retinopathy in Patients with Type 2 Diabetes Mellitus and its Utility as a Non-Invasive Tool for Differentiating from those Not Having Retinopathy. Indian Journal of Dermatology 2023; 68(3): 354 doi: 10.4103/ijd.ijd_289_23
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Samya Mujeeb, Gladys R Rodrigues, Rajesh R Nayak, Ajay R Kamath, Sumana J Kamath, Gurudutt Kamath. Urine protein: Urine creatinine ratio correlation with diabetic retinopathy. Indian Journal of Ophthalmology 2021; 69(11): 3359 doi: 10.4103/ijo.IJO_1269_21
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Ricardo Lamy, Jay M. Stewart. Biomarkers in Diabetes. Biomarkers in Disease: Methods, Discoveries and Applications 2023; : 963 doi: 10.1007/978-3-031-08014-2_51
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Sachin V. Suryavanshi, Yogesh A. Kulkarni. NF-κβ: A Potential Target in the Management of Vascular Complications of Diabetes. Frontiers in Pharmacology 2017; 8 doi: 10.3389/fphar.2017.00798
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Divya Pradhana, N Swathi Priya, George J Manayath, Sucheta Kulkarni, Umesh C Behera, Tushar Agarwal, Manisha Agarwal, Shalin Shah, A Giridhar, Janani Surya, Kim Ramasamy, TP Vignesh, Sivaprasad Shoba, Muna Bhende, Rajiv Raman. Natural course of non-center-involving diabetic macular edema progression in patients under initial observation. Indian Journal of Ophthalmology 2024; 72(2): 236 doi: 10.4103/IJO.IJO_2182_22
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Ceren Kaya, Okan Erkaymaz, Orhan Ayar, Mahmut Özer. Impact of hybrid neural network on the early diagnosis of diabetic retinopathy disease from video-oculography signals. Chaos, Solitons & Fractals 2018; 114: 164 doi: 10.1016/j.chaos.2018.06.034
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