Type 2 Diabetes Mellitus - Heat Map and Analysis
Type 2 diabetes mellitus (T2DM) is a chronic, progressive and serious metabolic disorder characterized by hyperglycemia (high blood glucose levels) and associated with numerous complications and co-morbidities, including cardiovascular disease, nephropathy (kidney damage), neuropathy (nerve damage) and retinopathy (retinal damage).
Global prevalence of the disease has risen rapidly in the past several decades, primarily as a result of rising obesity, a major risk factor for T2DM. This has resulted in a large, diverse and rapidly growing market landscape, comprising numerous different drug classes.
In particular, the emergence over the past decade of glucagon-like peptide-1 (GLP-1) receptor agonists, dipeptidyl peptidase 4 (DPP-4) inhibitors and sodium-glucose linked transporter-2 (SGLT-2) inhibitors has intensified competition. These new drug classes have been highly commercially successful, leading to considerable market growth. With a highly active late-stage pipeline, this trend is expected to continue over the coming years.
Differences between these products must be understood fully by companies seeking to position a novel drug in this market. This tabular heat map framework, designed to provide an easily digestible summary of these clinical characteristics, provides detailed readouts of all major late-stage clinical trial results for products in the T2DM market and late-stage pipeline. These are split along lines of therapy, and so are reflective of the treatment algorithm used in the clinic.
All safety and efficacy endpoints reported in these trials are displayed, for both the drug and control groups. In addition, key study characteristics such as the size, composition and patient segment of the study population are provided. These results are presented in a visually accessible, color-coded manner in order to maximize ease of use.
The accompanying text provides a detailed analysis of the clinical benchmarks set by the current market landscape, and the anticipated changes to these benchmarks, and to the treatment algorithm, as a result of the late-stage pipeline.
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