For: | Tun NN, Arunagirinathan G, Munshi SK, Pappachan JM. Diabetes mellitus and stroke: A clinical update. World J Diabetes 2017; 8(6): 235-248 [PMID: 28694925 DOI: 10.4239/wjd.v8.i6.235] |
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URL: | https://www.wjgnet.com/1948-9358/full/v8/i6/235.htm |
Number | Citing Articles |
1 |
İskender Sertbaş, Mustafa Çiçek, Metin Yadigaroğlu, Sinan Paslı, Selman Yeniocak, Abdulkadir Gündüz. Diagnostic Value of Neutrophil/Lymphocyte Ratio in Distinguishing Peripheral and Central Vertigo in Patients with Dizziness. Online Türk Sağlık Bilimleri Dergisi 2024; 9(3): 240 doi: 10.26453/otjhs.1461279
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2 |
Reem Alzayer, Muna Barakat, Feras Jirjees, Aqeelah Alhamdan, Shatha Aloraifej, Sara Cherri, Sara Mansour, Sami El Khatib, Zelal Kharaba, Mohamad Rahal, Souheil Hallit, Diana Malaeb, Hassan Hosseini. Knowledge and awareness of stroke and associated factors in the Saudi general population: a cross-sectional study. Frontiers in Neurology 2023; 14 doi: 10.3389/fneur.2023.1225980
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3 |
Bo Bai, Dongfang Li, Guofang Xue, Peng Feng, Meiqin Wang, Yudi Han, Yanan Wang, Christian Hölscher. The novel GLP-1/GIP dual agonist DA3-CH is more effective than liraglutide in reducing endoplasmic reticulum stress in diabetic rats with cerebral ischemia-reperfusion injury. Nutrition, Metabolism and Cardiovascular Diseases 2021; 31(1): 333 doi: 10.1016/j.numecd.2020.09.002
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4 |
Pandan Enggarwati, Debie Dahlia, Riri Maria. Social Support as a Mediator between Depressive Symptoms and Self-Care Activities in Adults Patient with Type 2 Diabetes Mellitus. Journal of Public Health Research 2022; 11(2) doi: 10.4081/jphr.2021.2734
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5 |
Lei Xu, Rui He, Xiaohan Hua, Jun Zhao, Jungong Zhao, Hui Zeng, Lianxi Li, Fang Liu, Weiping Jia. The value of ankle‐branchial index screening for cardiovascular disease in type 2 diabetes. Diabetes/Metabolism Research and Reviews 2019; 35(1) doi: 10.1002/dmrr.3076
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6 |
Marwa Elhefnawy, Sabariah Noor Harun, Teo Leykhim, Balamurgan Tangiisuran, Hadzliana Zainal, Irene Looi, Norsima Sidek, Zariah Abdul Aziz, Siti Maisharah Sheikh Ghadzi. A Parametric Time-to-Event Modelling of Recurrent Ischemic Stroke After Index Stroke Among Patients With and Without Diabetes Mellitus: Implementation of Temporal Validation of the Model. Cureus 2023; doi: 10.7759/cureus.50794
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7 |
Ladonya Jackson, Selin Dumanli, Maribeth H. Johnson, Susan C. Fagan, Adviye Ergul. Microglia knockdown reduces inflammation and preserves cognition in diabetic animals after experimental stroke. Journal of Neuroinflammation 2020; 17(1) doi: 10.1186/s12974-020-01815-3
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8 |
Giulio Bicciato, Markus Arnold, Aidan Gebhardt, Mira Katan. Precision medicine in secondary prevention of ischemic stroke: how may blood-based biomarkers help in clinical routine? An expert opinion. Current Opinion in Neurology 2022; 35(1): 45 doi: 10.1097/WCO.0000000000001011
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9 |
Meghna Julian Sebastian, Shahanas KA Khan, Joseph M Pappachan, Mohammad Sadiq Jeeyavudeen. Diabetes and cognitive function: An evidence-based current perspective. World Journal of Diabetes 2023; 14(2): 92-109 doi: 10.4239/wjd.v14.i2.92
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10 |
Yu. G. Gorb, V. I. Strona, O. V. Tkachenko, S. A. Serik, V. V. Ryabukha. Features of Pathogenesis and Course of Type 2 Diabetes Mellitus and Comorbid with it Cardiovascular Pathology in Elderly Patients. Ukraïnsʹkij žurnal medicini, bìologìï ta sportu 2021; 6(3): 22 doi: 10.26693/jmbs06.03.022
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11 |
Xiangke Ma, Dongtao Liu, Siqiang Niu, Wei Zhao, Xifang Song, Changqing Li, Lichun Zhou, Jing Ma, Weihua Jia. Low-dose antiplatelet therapy survey after intracerebral hemorrhage in China: a retrospective hospital-based study. Neurosurgical Review 2021; 44(5): 2923 doi: 10.1007/s10143-021-01483-8
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12 |
Oke-Oghene Philomena Akpoveso, Emeka Emmanuel Ubah, Gideon Obasanmi. Antioxidant Phytochemicals as Potential Therapy for Diabetic Complications. Antioxidants 2023; 12(1): 123 doi: 10.3390/antiox12010123
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13 |
Satadeepa Kal, Sumana Mahata, Suborno Jati, Sushil K. Mahata. Mitochondrial-derived peptides: Antidiabetic functions and evolutionary perspectives. Peptides 2024; 172: 171147 doi: 10.1016/j.peptides.2023.171147
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14 |
Mengjiao Zhao, Yongze Dong, Luchen Chen, Huajuan Shen, Jacopo Sabbatinelli. Influencing factors of stroke in patients with type 2 diabetes: A systematic review and meta-analysis. PLOS ONE 2024; 19(6): e0305954 doi: 10.1371/journal.pone.0305954
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15 |
Sian A. Bradley, Kevin J. Spring, Roy G. Beran, Dimitrios Chatzis, Murray C. Killingsworth, Sonu M. M. Bhaskar. Role of diabetes in stroke: Recent advances in pathophysiology and clinical management. Diabetes/Metabolism Research and Reviews 2022; 38(2) doi: 10.1002/dmrr.3495
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16 |
Anthony Cannon, Yehuda Handelsman, Michael Heile, Michael Shannon. Burden of Illness in Type 2 Diabetes Mellitus. Journal of Managed Care & Specialty Pharmacy 2018; 24(9-a Suppl): S5 doi: 10.18553/jmcp.2018.24.9-a.s5
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17 |
Xiaohong Li, Yanjin He, Dawu Wang, Mohammad Reza Momeni. Chronobiological disruptions: unravelling the interplay of shift work, circadian rhythms, and vascular health in the context of stroke risk. Clinical and Experimental Medicine 2024; 25(1) doi: 10.1007/s10238-024-01514-w
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18 |
Piyawadee Wicha, Srijit Das, Pasuk Mahakkanukrauh. Blood-brain barrier dysfunction in ischemic stroke and diabetes: the underlying link, mechanisms and future possible therapeutic targets. Anatomy & Cell Biology 2021; 54(2): 165 doi: 10.5115/acb.20.290
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19 |
Krishna Prasad Sharma, Miyeon Shin, Ganesh Prasad Awasthi, Changho Yu. One-pot hydrothermal synthesis of CuS/CoS composite for electrochemical non-enzymatic glucose sensor. Current Applied Physics 2023; 56: 126 doi: 10.1016/j.cap.2023.10.007
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20 |
Zhihui Guo, Jia Jia, Yanling Tu, Chang Jin, Cen Guo, Feifei Song, Xuqing Wu, Haifeng Bao, Wei Fan. Altered Jagged1-Notch1 Signaling in Enhanced Dysfunctional Neovascularization and Delayed Angiogenesis After Ischemic Stroke in HFD/STZ Induced Type 2 Diabetes Rats. Frontiers in Physiology 2021; 12 doi: 10.3389/fphys.2021.687947
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21 |
Hatem A. Alhadainy, Thomas Keefe, Amany H. Abdel‐Karim, Saleem Abdulrab, Esam Halboub. Association between dental diseases and history of stroke in the United States. Clinical and Experimental Dental Research 2021; 7(5): 845 doi: 10.1002/cre2.416
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22 |
M.M. Prokopiv, S.K. Yevtushenko, O.Ye. Fartushna. Особливості лакунарного інсульту варолієвого моста: результати госпітального проспективного когортного дослідження. INTERNATIONAL NEUROLOGICAL JOURNAL 2022; 18(6): 4 doi: 10.22141/2224-0713.18.6.2022.965
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23 |
Diana Malaeb, Nada Dia, Chadia Haddad, Souheil Hallit, Hala Sacre, Muna Barakat, Sara Mansour, Pascale Salameh, Hassan Hosseini. Factors associated with knowledge and awareness of stroke among the Lebanese population: A cross-sectional study. F1000Research 2022; 11: 425 doi: 10.12688/f1000research.108734.1
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24 |
Triantafyllos Doskas, Efthimios Dardiotis, George D. Vavougios, Konstantinos T. Ntoskas, Pinelopi Sionidou, Konstantinos Vadikolias. Stroke risk in multiple sclerosis: a critical appraisal of the literature. International Journal of Neuroscience 2023; 133(10): 1132 doi: 10.1080/00207454.2022.2056459
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25 |
Ya-Chen An, Yu-Xun Wang, Yan-Ru Jiang, Yan-Zheng Li, Jing-Yu Feng, Song-Xin Shi, Jing-Jun Chen. Analysis of the Risk Factors for the Recurrence of Ischemic Stroke with Diabetes Mellitus and Establishment of Cox’s Regression Model and the Personal Prognosis Index in Two Years of Follow-Up. Iranian Red Crescent Medical Journal 2020; (In Press) doi: 10.5812/ircmj.101863
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26 |
Dong-Hwa Lee, Gun Woo Won, Yong Hee Lee, Jong Sung Shin, Eu Jeong Ku, Tae Keun Oh, Hyun Jeong Jeon. Association between rs1761667 CD36 polymorphism and risk of stroke in Korean patients with type 2 diabetes. Chinese Medical Journal 2021; 134(19): 2385 doi: 10.1097/CM9.0000000000001501
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27 |
Jeong-Min Kim. Stroke Revisited: Diabetes in Stroke. Stroke Revisited 2021; : 211 doi: 10.1007/978-981-16-5123-6_18
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28 |
Neha Bhatt, Kundan Kumar Chaubey, Sunil Kumar, Atreyi Pramanik, Aashna Sinha, Amit Mittal. Innovative Computing and Communications. Lecture Notes in Networks and Systems 2024; 1020: 559 doi: 10.1007/978-981-97-3588-4_45
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29 |
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30 |
Oana P. Zaharia, Stefanie Lanzinger, Joachim Rosenbauer, Wolfram Karges, Karsten Müssig, Sebastian M. Meyhöfer, Volker Burkart, Michael Hummel, Dirk Raddatz, Michael Roden, Julia Szendroedi, Reinhard W. Holl. Comorbidities in Recent-Onset Adult Type 1 Diabetes: A Comparison of German Cohorts. Frontiers in Endocrinology 2022; 13 doi: 10.3389/fendo.2022.760778
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31 |
Xue Tian, Xue Xia, Yijun Zhang, Qin Xu, Yanxia Luo, Anxin Wang. Association and pathways of baseline and longitudinal hemoglobin A1c with the risk of incident stroke: A nationwide prospective cohort study. Diabetes Research and Clinical Practice 2024; 208: 111127 doi: 10.1016/j.diabres.2024.111127
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32 |
Judith Shore, Michelle Green, Andrew Hardy, Deborah Livesey. The compliance and cost-effectiveness of smartphone urinalysis albumin screening for people with diabetes in England. Expert Review of Pharmacoeconomics & Outcomes Research 2020; 20(4): 387 doi: 10.1080/14737167.2019.1650024
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33 |
Mohamed Ali Seyed, Siddiqua Ayesha. Diabetic Foot Ulcer. 2021; : 281 doi: 10.1007/978-981-15-7639-3_18
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34 |
Krishna Prasad Sharma, Miyeon Shin, Ganesh Prasad Awasthi, Milan Babu Poudel, Han Joo Kim, Changho Yu. Chitosan polymer matrix-derived nanocomposite (CuS/NSC) for non-enzymatic electrochemical glucose sensor. International Journal of Biological Macromolecules 2022; 206: 708 doi: 10.1016/j.ijbiomac.2022.02.142
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35 |
Umme Farwa, Muhammad Asam Raza. Heterocyclic compounds as a magic bullet for diabetes mellitus: a review. RSC Advances 2022; 12(35): 22951 doi: 10.1039/D2RA02697J
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36 |
Lisa Martinez, Touqir Zahra. Chronic Complications of Diabetes. EMJ Diabetes 2022; doi: 10.33590/emjdiabet/21-00180
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37 |
Fu-Liang Zhang, Ying-Qi Xing, Zhen-Ni Guo, Yan-Hua Wu, Hao-Yuan Liu, Yi Yang. Prevalence and risk factors for diabetes and impaired fasting glucose in Northeast China: Results from the 2016 China National Stroke Screening Survey. Diabetes Research and Clinical Practice 2018; 144: 302 doi: 10.1016/j.diabres.2018.09.005
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38 |
Ganjar Alfian, Muhammad Syafrudin, Muhammad Fazal Ijaz, M. Alex Syaekhoni, Norma Latif Fitriyani, Jongtae Rhee. A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing. Sensors 2018; 18(7): 2183 doi: 10.3390/s18072183
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39 |
Cheng-Shyuan Rau, Shao-Chun Wu, Yi-Chun Chen, Peng-Chen Chien, Hsiao-Yun Hsieh, Pao-Jen Kuo, Ching-Hua Hsieh. Mortality Rate Associated with Admission Hyperglycemia in Traumatic Femoral Fracture Patients Is Greater Than Non-Diabetic Normoglycemic Patients but Not Diabetic Normoglycemic Patients. International Journal of Environmental Research and Public Health 2017; 15(1): 28 doi: 10.3390/ijerph15010028
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40 |
Dong-Hwa Lee, Jung Ah Lim, Jung Hee Kim, Soo Heon Kwak, Sung Hee Choi, Hak Chul Jang. Longitudinal Changes of High Molecular Weight Adiponectin are Associated with Postpartum Development of Type 2 Diabetes Mellitus in Patients with Gestational Diabetes Mellitus. Endocrinology and Metabolism 2021; 36(1): 114 doi: 10.3803/EnM.2020.831
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41 |
Hasti Hajimiri, Seyed Hamid Safiabadi Tali, Muna Al-Kassawneh, Zubi Sadiq, Sana Jahanshahi-Anbuhi. Tablet-Based Sensor: A Stable and User-Friendly Tool for Point-of-Care Detection of Glucose in Urine. Biosensors 2023; 13(9): 893 doi: 10.3390/bios13090893
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42 |
Lifeng Gao, Mingming Huang, Xiaowen Luo, Tao Song, Xuxia Wang, Zhe Wang, Wei Zhang, Jiangyuan Chen, Hao Lei. Microstructure abnormity in the optic nerve of type 1 diabetic rats revealed by diffusion tensor imaging study. Magnetic Resonance Imaging 2020; 71: 105 doi: 10.1016/j.mri.2020.05.003
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43 |
Adel Alhazzani, Ahmed Mahfouz, Ahmed Abolyazid, Nabil Awadalla. Risk Factors of the First-Time Stroke in the Southwest of Saudi Arabia: A Case-Control Study. Brain Sciences 2021; 11(2): 222 doi: 10.3390/brainsci11020222
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44 |
C. Nugroho, . Suryono, B. Wiseno. The Analysis of Homecare Interest in Pandemic Covid-19 Period Based on Disease Case in Indonesia. European Journal of Medical and Health Sciences 2020; 2(5) doi: 10.24018/ejmed.2020.2.5.524
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45 |
Jimsha K Mathew, S Sathyalakshmi. ExpACVO-Exponential Anti Corona Virus Optimization Enabled Hybrid Deep learning for Tongue Image Segmentation Towards Diabetes Mellitus Detection Via CNN-LSTM Network. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI) 2023; : 1 doi: 10.1109/ICAIIHI57871.2023.10489131
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46 |
Takashi Kadowaki, Hiroshi Maegawa, Hirotaka Watada, Daisuke Yabe, Koichi Node, Toyoaki Murohara, Jun Wada. Interconnection between cardiovascular, renal and metabolic disorders: A narrative review with a focus on Japan. Diabetes, Obesity and Metabolism 2022; 24(12): 2283 doi: 10.1111/dom.14829
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47 |
Davide Chicco, Giuseppe Jurman. Arterial Disease Computational Prediction and Health Record Feature Ranking Among Patients Diagnosed With Inflammatory Bowel Disease. IEEE Access 2021; 9: 78648 doi: 10.1109/ACCESS.2021.3084063
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48 |
N.V. Pashkovska, V.M. Pashkovskyy. Insulin resistance and stroke: mechanisms and therapeutic approaches. INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) 2024; 20(1): 80 doi: 10.22141/2224-0721.20.1.2024.1367
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49 |
Dong‐Hwa Lee, Eun Ju Chun, Ji Hye Moon, Han Mi Yun, Soo Lim. Effect of cilostazol on carotid plaque volume measured by three‐dimensional ultrasonography in patients with type 2 diabetes: The FANCY study. Diabetes, Obesity and Metabolism 2020; 22(12): 2257 doi: 10.1111/dom.14147
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50 |
Umair Muneer Butt, Sukumar Letchmunan, Mubashir Ali, Fadratul Hafinaz Hassan, Anees Baqir, Hafiz Husnain Raza Sherazi, Daniel Espino. Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Journal of Healthcare Engineering 2021; 2021: 1 doi: 10.1155/2021/9930985
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51 |
G. Karthikeyan, G. Komarasamy, S. Daniel Madan Raja. Design of an efficient decision support system using evolutionary deep forward network model. Journal of Intelligent & Fuzzy Systems 2023; 44(4): 7027 doi: 10.3233/JIFS-220912
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52 |
Maimoona Ashfaq, Muhammad Imran, Tabussam Tufail, Syed Amir Gilani, Ishtiaque Ahmad, Saima Inayat. Effect of Different Concentrations of Jamun and Amla Extracts to Combat Diabetes Mellitus. Pakistan BioMedical Journal 2022; 5(1): 276 doi: 10.54393/pbmj.v5i1.200
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53 |
Laurent Fauchier, Giuseppe Boriani, Joris R de Groot, Reinhold Kreutz, Peter Rossing, A John Camm. Medical therapies for prevention of cardiovascular and renal events in patients with atrial fibrillation and diabetes mellitus. EP Europace 2021; 23(12): 1873 doi: 10.1093/europace/euab184
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54 |
Tae-Hoon Lee, Chang Min Lee, Sungsoo Park, Do Hyun Jung, You Jin Jang, Jong-Han Kim, Seong-Heum Park, Young-Jae Mok. Long-term Follow-up for Type 2 Diabetes Mellitus after Gastrectomy in Non-morbidly Obese Patients with Gastric Cancer: the Legitimacy of Onco-metabolic Surgery. Journal of Gastric Cancer 2017; 17(4): 283 doi: 10.5230/jgc.2017.17.e34
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55 |
Aidar Alimbayev, Gulnur Zhakhina, Arnur Gusmanov, Yesbolat Sakko, Sauran Yerdessov, Iliyar Arupzhanov, Ardak Kashkynbayev, Amin Zollanvari, Abduzhappar Gaipov. Predicting 1-year mortality of patients with diabetes mellitus in Kazakhstan based on administrative health data using machine learning. Scientific Reports 2023; 13(1) doi: 10.1038/s41598-023-35551-4
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56 |
Stefan Sjørslev Bodilsen, Mette Aadahl, Troels Wienecke, Trine Hørmann Thomsen. Development of a tailored intervention targeting sedentary behavior and physical activity in people with stroke and diabetes: A qualitative study using a co-creation framework. Frontiers in Rehabilitation Sciences 2023; 4 doi: 10.3389/fresc.2023.1114537
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57 |
K. S. Kannan, A. Lakshmi Bhargav, A. Anil Kumar Reddy, Ravi Kumar Chandu. Advances in Cognitive Science and Communications. Cognitive Science and Technology 2023; : 645 doi: 10.1007/978-981-19-8086-2_62
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58 |
Alanna G. Spiteri, Claire L. Wishart, Roger Pamphlett, Giuseppe Locatelli, Nicholas J. C. King. Microglia and monocytes in inflammatory CNS disease: integrating phenotype and function. Acta Neuropathologica 2022; 143(2): 179 doi: 10.1007/s00401-021-02384-2
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59 |
Ajay Kolli, Kristian Seiler, Neil Kamdar, Lindsey B. De Lott, Mark D. Peterson, Michelle A. Meade, Joshua R. Ehrlich. Longitudinal Associations Between Vision Impairment and the Incidence of Neuropsychiatric, Musculoskeletal, and Cardiometabolic Chronic Diseases. American Journal of Ophthalmology 2022; 235: 163 doi: 10.1016/j.ajo.2021.09.004
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60 |
Ibrahim Luru Abdulai, Samuel Kojo Kwofie, Winfred Seth Gbewonyo, Daniel Boison, Joshua Buer Puplampu, Michael Buenor Adinortey, Ahmad Mansour. Multitargeted Effects of Vitexin and Isovitexin on Diabetes Mellitus and Its Complications. The Scientific World Journal 2021; 2021: 1 doi: 10.1155/2021/6641128
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61 |
Bindu Menon, Rizwana Syed, Praveen Kumar Yadav, Medha Menon. Diabetes and Stroke—A Focused Review. Journal of Diabetology 2024; 15(3): 247 doi: 10.4103/jod.jod_46_24
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62 |
Boni Tao, Peng Yang, Cun Wang, Wei Du, Peixuan Shen, Ying Wu, Xiong Ding, Shuohua Chen, Shouling Wu, Yun Li. Fetal exposure to the Great Chinese Famine and risk of ischemic stroke in midlife. European Journal of Neurology 2021; 28(4): 1244 doi: 10.1111/ene.14661
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63 |
Wei-Ti Su, Shao-Chun Wu, Sheng-En Chou, Chun-Ying Huang, Shiun-Yuan Hsu, Hang-Tsung Liu, Ching-Hua Hsieh. Higher Mortality Rate in Moderate-to-Severe Thoracoabdominal Injury Patients with Admission Hyperglycemia Than Nondiabetic Normoglycemic Patients. International Journal of Environmental Research and Public Health 2019; 16(19): 3562 doi: 10.3390/ijerph16193562
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Pawan Whig, Ketan Gupta, Nasmin Jiwani, Hruthika Jupalle, Shama Kouser, Naved Alam. A novel method for diabetes classification and prediction with Pycaret. Microsystem Technologies 2023; 29(10): 1479 doi: 10.1007/s00542-023-05473-2
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Zhehua Zou, Kai Liu, Yunjing Li, Shuangyan Yi, Xiaotang Wang, Changying Yu, Haiying Zhu, Xiaonan Xi. The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate. Evidence-Based Complementary and Alternative Medicine 2022; 2022: 1 doi: 10.1155/2022/5413985
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66 |
Theano Penlioglou, Anca Pantea Stoian, Nikolaos Papanas. Diabetes, Vascular Aging and Stroke: Old Dogs, New Tricks?. Journal of Clinical Medicine 2021; 10(19): 4620 doi: 10.3390/jcm10194620
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67 |
Taoreed Adegoke Azeez, Ibikunle Moses Durotoluwa, Akintomiwa Ibrahim Makanjuola. Diabetes Mellitus as a risk factor for stroke among Nigerians: A systematic review and meta-analysis. International Journal of Cardiology Cardiovascular Risk and Prevention 2023; 18: 200189 doi: 10.1016/j.ijcrp.2023.200189
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Yi-jin Wu, Chun Wang, Wei Wei. The effects of DMARDs on the expression and function of P-gp, MRPs, BCRP in the treatment of autoimmune diseases. Biomedicine & Pharmacotherapy 2018; 105: 870 doi: 10.1016/j.biopha.2018.06.015
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Reem Alkahtani. Molecular mechanisms underlying some major common risk factors of stroke. Heliyon 2022; 8(8): e10218 doi: 10.1016/j.heliyon.2022.e10218
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Marwa Elsaeed Elhefnawy, Siti Maisharah Sheikh Ghadzi, Balamurugan Tangiisuran, Hadzliana Zainal, Irene Looi, Khairul Azmi Ibrahim, Norsima Nazifah Sidek, Keat Wei Loo, Keng Yee Lee, Zariah Abdul Aziz, Sabariah Noor Harun. Population-based Study Comparing Predictors of Ischemic Stroke Recurrence After Index Ischemic Stroke in Non-elderly Adults with or without Diabetes. International Journal of General Medicine 2021; : 1205 doi: 10.2147/IJGM.S303641
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Taeha Lee, Hyung-Tak Lee, Jiho Hong, Seokbeom Roh, Da Yeon Cheong, Kyungwon Lee, Yeojin Choi, Yoochan Hong, Han-Jeong Hwang, Gyudo Lee. A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors. Analytical Methods 2022; 14(46): 4749 doi: 10.1039/D2AY01329K
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SiewMooi Ching, Yook Chin Chia, Bee Nah Chew, Man Jun Soo, Hooi Min Lim, Wan Aliaa Wan Sulaiman, Fan Kee Hoo, Mar Lar Saw, Azlina Ishak, Tharmalingam Palanivelu, Nadarajan Caruppaiya, Navin Kumar Devaraj. Knowledge on the action to be taken and recognition of symptoms of stroke in a community: findings from the May Measurement Month 2017 blood pressure screening Programme in Malaysia. BMC Public Health 2019; 19(1) doi: 10.1186/s12889-019-7922-7
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Yasmeen Shaikh, V. K. Parvati, S. R. Biradar. Heart Disease Prediction using Ensemble Learning. 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) 2023; : 1 doi: 10.1109/ICAISC58445.2023.10200375
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Hossein Ahmadi-Eslamloo, Gholam Abbas Dehghani, Seyed Mostafa Shid Moosavi. Long-term treatment of diabetic rats with vanadyl sulfate or insulin attenuate acute focal cerebral ischemia/reperfusion injury via their antiglycemic effect. Metabolic Brain Disease 2018; 33(1): 225 doi: 10.1007/s11011-017-0153-7
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Krishna Prasad Sharma, Miyeon Shin, Ganesh Prasad Awasthi, Soonhwan Cho, Changho Yu. One-step hydrothermal synthesis of CuS/MoS2 composite for use as an electrochemical non-enzymatic glucose sensor. Heliyon 2024; 10(2): e23721 doi: 10.1016/j.heliyon.2023.e23721
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Pratibha Chauhan, Akhilesh Kumar Tamrakar, Sunil Mahajan, G.B.K.S. Prasad. Chitosan encapsulated nanocurcumin induces GLUT-4 translocation and exhibits enhanced anti-hyperglycemic function. Life Sciences 2018; 213: 226 doi: 10.1016/j.lfs.2018.10.027
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Eunhee Kim, Sunghee Cho. CNS and peripheral immunity in cerebral ischemia: partition and interaction. Experimental Neurology 2021; 335: 113508 doi: 10.1016/j.expneurol.2020.113508
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Mohammad Uzzal Hossain, Ishtiaque Ahammad, Arittra Bhattacharjee, Zeshan Mahmud Chowdhury, Anisur Rahman, Tahia Anan Rahman, Taimur Md Omar, Mohammad Kamrul Hasan, Md Nazrul Islam, Md Tabassum Hossain Emon, Keshob Chandra Das, Chaman Ara Keya, Md Salimullah. Protein-protein interactions network model underlines a link between hormonal and neurological disorders. Informatics in Medicine Unlocked 2022; 28: 100866 doi: 10.1016/j.imu.2022.100866
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Doaa Sami Khafaga, Amal H. Alharbi, Israa Mohamed, Khalid M. Hosny. An Integrated Classification and Association Rule Technique for Early-Stage Diabetes Risk Prediction. Healthcare 2022; 10(10): 2070 doi: 10.3390/healthcare10102070
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Dami T. Ojo, Philip C. Brewer, Adebobola Imeh-Nathaniel, Samuel Imeh-Nathaniel, Philip X. Broughton, Thomas I. Nathaniel. Sex differences in clinical risk factors in obese ischemic stroke patients with a history of smoking. BMC Cardiovascular Disorders 2024; 24(1) doi: 10.1186/s12872-024-03952-6
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Ganjar Alfian, Muhammad Syafrudin, Norma Latif Fitriyani, M. Alex Syaekhoni, Jongtae Rhee. Artificial Intelligence and Big Data Analytics for Smart Healthcare. 2021; : 63 doi: 10.1016/B978-0-12-822060-3.00009-7
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82 |
Karel Kostev, Tong Wu, Yue Wang, Kal Chaudhuri, Christian Tanislav. Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach. Epilepsy & Behavior 2021; 122: 108211 doi: 10.1016/j.yebeh.2021.108211
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83 |
Muhammad Ijaz, Ganjar Alfian, Muhammad Syafrudin, Jongtae Rhee. Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest. Applied Sciences 2018; 8(8): 1325 doi: 10.3390/app8081325
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Meng Li, Huijuan Fang, Jian Hu. Apelin‑13 ameliorates metabolic and cardiovascular disorders in a rat model of type 2 diabetes with a high‑fat diet. Molecular Medicine Reports 2018; doi: 10.3892/mmr.2018.9607
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Terence Johnson, Anup Narvekar, Jude Vaz, Aryan Haldankar, Shivani Hubli, Omkar Naik. Diabetes Mellitus Prediction Based on Enhanced K Strange Points Clustering and Classification. 2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) 2022; : 120 doi: 10.1109/WiSPNET54241.2022.9767143
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Sridharan Kannan. Modelling an Efficient Clinical Decision Support System for Heart Disease Prediction Using Learning and Optimization Approaches. Computer Modeling in Engineering & Sciences 2022; 131(2): 677 doi: 10.32604/cmes.2022.018580
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