iGlarLixi: A titrateable fixed-ratio combination of basal insulin + GLP-1 receptor agonist-An effective type 2 diabetes treatment option in China
Abstract
Five years ago, the overall prevalence of diabetes in China was reported to be as high as 10.6%, and it is especially concerning that type 2 diabetes (T2DM) is developing in younger age groups. Glycaemic control rates (both HbA1c and post-prandial glucose control) are worryingly low among patients with T2DM in China, and 'clinical inertia' is a major challenge, in particular a reluctance among clinicians to initiate injectable therapy when oral antidiabetic therapies (OADs) are no longer achieving target levels of glucose control. Within the Chinese guidelines, clinicians now have the option to use a fixed-ratio combination of basal insulin (Glargine) and GLP-1 receptor agonist (lixisenatide), iGlarLixi, as a convenient, safe, and effective treatment for patients with T2DM. This review summarises the key clinical trials with iGlarLixi in Chinese and Asia-Pacific people, for example, the LixiLan-O-AP and LixiLan-L-CN trials, and highlights the advantages of this treatment for lowering HbA1c and post-prandial glucose. iGlarLixi is preferable to premixed insulin and can be combined with OADs among typical people with T2DM and poor glycaemic control. The safety, efficacy, and practical convenience of iGlarLixi are summarised in the Chinese healthcare context.
Read the paper
Related studies
- Metformin as an adjuvant in breast cancer treatment
- Metformin Lysosomal Targeting: A Novel Aspect to Be Investigated for Metformin Repurposing in Neurodegenerative Diseases?
- Aberrant HSF1 signaling activation underlies metformin amelioration of myocardial infarction in mice
- Metformin induces ZFP36 by mTORC1 inhibition in cervical cancer-derived cell lines
- Protein Interaction Network for Identifying Vascular Response of Metformin (Oral Antidiabetic)
- Preventing Long COVID With Metformin
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.