Comparative Analysis of Therapeutic Methods for Type 2 Diabetes Mellitus
DOI:
https://doi.org/10.61173/zy1sfx41Keywords:
T2DM, Therapeutic methods, insulin secretionAbstract
Type 2 Diabetes Mellitus(T2DM) is known as the most common metabolic disordered disease in the world now. Nowadays, research about T2DM is focused on treating the T2DM indirectly, such as, increasing the secretion of insulin or promoting the use and monitoring of insulin. However, there are still a lot of problems for monitory the dose of insulin or medicine, so most of medicine can cause low blood glucose levels or other common side effects caused by using too much or less medicine. This review has reviewed three different parts of medicine, and then compared the mechanism and the side effects of this therapeutic method. After that, come up with some conclusions about how the advantages and disadvantages of different methods. The meaning of this preview is to find out the effective method for T2DM nowadays and search the potential directly for caring for T2DM. In the last, after comparing the side effects of different therapeutic methods of T2DM, monitoring and control become two essential direct for improving the treatment of T2DM. So artificial intelligence could be a potential way for caring for T2DM.
References
[1] Ambati J, et al. Repurposing anti-inflammasome nrtis for improving insulin sensitivity and reducing type 2 diabetes development. Nature Communications, 2020, 11(1).
[2] Sola D, Rossi L, Schianca G, et al. State of the art paper Sulfonylureas and their use in clinical practice. Arch Med Sci, 2015, 4: 840–848.
[3] Kalra S, et al. Consensus Recommendations on Sulfonylurea and Sulfonylurea Combinations in the Management of Type 2 Diabetes Mellitus – International Task Force. Indian Journal of Endocrinology and Metabolism, 2018, 22(1): 132.
[4] Seino S, Sugawara K, Yokoi N, Takahashi H. β-Cell signalling and insulin secretagogues: A path for improved diabetes therapy. Diabetes Obes Metab, 2017, 19: 22–29.
[5] Nedelcu M, Loureiro M, Skalli M, et al. Laparoscopic sleeve gastrectomy: Effect on long-term remission for morbidly obese patients with type 2 diabetes at 5-year follow up. Surgery, 2017, 162(4): 857–862.
[6] Holst JJ, et al. Mechanisms in Bariatric Surgery: Gut Hormones, Diabetes Resolution, and Weight Loss. Surgery for Obesity and Related Diseases, 2018, 14(5): 708–714.
[7] Kane J, et al. Cardiovascular Risk Reduction Associated with Pharmacological Weight Loss: A Meta-Analysis. International Journal of Clinical Research & Trials, 2019, 4(1).
[8] Kelley DE, Bray GA, et al. Clinical Efficacy of Orlistat Therapy in Overweight and Obese Patients With Insulin-Treated Type 2 Diabetes: A 1-year randomized controlled trial. Diabetes Care, 2002, 25(6): 1033–1041.
[9] Saunders KH, et al. An Update on Naltrexone/Bupropion Extended-Release in the Treatment of Obesity. Expert Opinion on Pharmacotherapy, 2016, 17(16): 2235–2242.
[10] [Sposito AC, et al. Cardiovascular Safety of Naltrexone and Bupropion Therapy: Systematic Review and Meta‐analyses. Obesity Reviews, 2021, 22(6).
[11] [ Rahimloo P, Jafarian A. Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them. Bulletin de la Société Royale des Sciences de Liège, 2016.
[12] Basu S, Narayanaswamy R. A Prediction Model for Uncontrolled Type 2 Diabetes Mellitus Incorporating Area-level Social Determinants of Health. Medical Care, 2019.
[13] Miotto R, Li L, Kidd BA, Dudley JT. Deep patient: An unsupervised representation to predict the future of patients from the electronic health records. Sci Rep.
[14] Dahl RA. Communicative Constitution of Technology: A Sociomaterial Analysis of Data, Communication, and Control in the Design of an Open-Source Artificial Pancreas System [dissertation]. The University of Utah, 2021.
[15] Da Silva J, et al. Real‐World performance of the minimedTM 670g system in Europe. Diabetes, Obesity and Metabolism, 2021, 23(8): 1942–1949.
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