Network meta-analysis of glucose-lowering drug treatment regimens with the potential risk of hypoglycemia in patients with type 2 diabetes mellitus in terms of glycemic control and severe hypoglycemia

Autor: Satoru Kodama, Kazuya Fujihara, Hajime Ishiguro, Yasuhiro Matsubayashi, Masaru Kitazawa, Midori Iwanaga, Takaho Yamada, Kiminori Kato, Yoshimi Nakagawa, Shiro Tanaka, Hitoshi Shimano, Hirohito Sone
Rok vydání: 2023
Předmět:
Zdroj: Journal of Investigative Medicine. 71:400-410
ISSN: 1708-8267
1081-5589
Popis: Insulin and its secretagogues are essential for some patients with type 2 diabetes (T2D) to maintain good glycemic control (GC), but severe hypoglycemia (SH) is a concern. This network meta-analysis aimed to find optimal glucose-lowering drug treatment regimens in terms of GC and SH in T2D patients. MEDLINE and EMBASE were used to identify trials that compared two or more treatments including insulins and/or sulfonylurea or glinides and that examined both GC and SH. Treatment hierarchy was expressed as the surface under the cumulative ranking curve (SUCRA) probabilities. We identified 137 eligible trials comprising 42 treatments. The use of insulins and non-insulin glucose-lowering agents except for sulfonylurea or glinide had a higher SUCRA than insulins only for hemoglobin A1c (A1C) (p = 0.01) changes and achievement of A1C
Databáze: OpenAIRE